Predicting positive youth development among Chinese adolescents: A machine learning approach using multiwave longitudinal data.

Συγγραφείς: Liu Z; Institute of Developmental Psychology, Beijing Normal University, Beijing, China., Lu Z; Institute of Developmental Psychology, Beijing Normal University, Beijing, China.; Department of Sociology, McGill University, Montréal, Canada., Wang Y; Department of Psychology, Hangzhou Normal University, Hangzhou, China., Lin D; Institute of Developmental Psychology, Beijing Normal University, Beijing, China.

Πηγή: Applied psychology. Health and well-being [Appl Psychol Health Well Being] 2026 Oct; Vol. 18 (5), pp. e70211.

Τύπος έκδοσης: Journal Article

Στοιχεία περιοδικού: Publisher: Blackwell Country of Publication: England NLM ID: 101502957 Publication Model: Print Cited Medium: Internet ISSN: 1758-0854 (Electronic) Linking ISSN: 17580854 NLM ISO Abbreviation: Appl Psychol Health Well Being Subsets: MEDLINE

Ιατρικοί όροι (MeSH): Depression*/psychology , Loneliness*/psychology , Adolescent Development* , Boosting Machine Learning Algorithms* , Prediction Algorithms*, Adolescent ; Child ; Female ; Humans ; Male ; China ; Longitudinal Studies ; East Asian People

Exploratory Comparison of Meld, Meld-Na, and Meld 3.0 Scores for Prognostic Assessment at Diagnosis in Hepatocellular Carcinoma Using Machine Learning Approaches.

Συγγραφείς: Martínez-Blanco P; Gastroenterology Department, Cuenca University Hospital, 16002, Cuenca, Spain.; Medical Analysis Expert Group, Institute of Technology, Universidad de Castilla-La Mancha, 16071, Cuenca, Spain., Suárez M; Gastroenterology Department, Cuenca University Hospital, 16002, Cuenca, Spain.; Medical Analysis Expert Group, Institute of Technology, Universidad de Castilla-La Mancha, 16071, Cuenca, Spain.; Medical Analysis Expert Group, Instituto de Investigación Sanitaria de Castilla-La Mancha (IDISCAM), 45071, Toledo, Spain., Mateo J; Medical Analysis Expert Group, Institute of Technology, Universidad de Castilla-La Mancha, 16071, Cuenca, Spain. Jorge.Mateo@uclm.es.; Medical Analysis Expert Group, Instituto de Investigación Sanitaria de Castilla-La Mancha (IDISCAM), 45071, Toledo, Spain. Jorge.Mateo@uclm.es., Gil-Rojas S; Gastroenterology Department, Cuenca University Hospital, 16002, Cuenca, Spain.; Medical Analysis Expert Group, Institute of Technology, Universidad de Castilla-La Mancha, 16071, Cuenca, Spain., Martínez-García N; Internal Medicine Unit, Guadalajara University Hospital, 19002, Guadalajara, Spain., Blasco P; Department of Pharmacy, General University Hospital, 46014, Valencia, Spain., Torralba M; Internal Medicine Unit, Guadalajara University Hospital, 19002, Guadalajara, Spain.; Faculty of Medicine, Universidad de Alcalá de Henares, 28801, Alcalá de Henares, Spain.; Translational Research Group in Cellular Immunology (GITIC), Instituto de Investigación Sanitaria de Castilla-La Mancha (IDISCAM), 45071, Toledo, Spain., Torres AM; Medical Analysis Expert Group, Institute of Technology, Universidad de Castilla-La Mancha, 16071, Cuenca, Spain.; Medical Analysis Expert Group, Instituto de Investigación Sanitaria de Castilla-La Mancha (IDISCAM), 45071, Toledo, Spain.

Πηγή: Digestive diseases and sciences [Dig Dis Sci] 2026 Oct; Vol. 71 (10), pp. 4743-4755. Date of Electronic Publication: 2026 May 30.

Τύπος έκδοσης: Journal Article; Comparative Study; Multicenter Study

Στοιχεία περιοδικού: Publisher: Springer Science + Business Media Country of Publication: United States NLM ID: 7902782 Publication Model: Print-Electronic Cited Medium: Internet ISSN: 1573-2568 (Electronic) Linking ISSN: 01632116 NLM ISO Abbreviation: Dig Dis Sci Subsets: MEDLINE

Ιατρικοί όροι (MeSH): Carcinoma, Hepatocellular*/diagnosis , Carcinoma, Hepatocellular*/mortality , Carcinoma, Hepatocellular*/pathology , Liver Neoplasms*/diagnosis , Liver Neoplasms*/mortality , Liver Neoplasms*/pathology , Boosting Machine Learning Algorithms*, Aged ; Female ; Humans ; Male ; Middle Aged ; Neoplasm Staging ; Predictive Learning Models ; Prognosis ; Retrospective Studies ; Severity of Illness Index

Machine learning-driven ultrasound echo feature analysis for accurate classification and area prediction of HIFU-induced lesions: ex vivo study.

Συγγραφείς: Gong G; State Key Laboratory of Ultrasound in Medicine and Engineering, Chongqing Medical University, Chongqing 400016, China., Liu T; State Key Laboratory of Ultrasound in Medicine and Engineering, Chongqing Medical University, Chongqing 400016, China., Xing B; State Key Laboratory of Ultrasound in Medicine and Engineering, Chongqing Medical University, Chongqing 400016, China., Ma X; State Key Laboratory of Ultrasound in Medicine and Engineering, Chongqing Medical University, Chongqing 400016, China., Wu M; State Key Laboratory of Ultrasound in Medicine and Engineering, Chongqing Medical University, Chongqing 400016, China., Li Y; State Key Laboratory of Ultrasound in Medicine and Engineering, Chongqing Medical University, Chongqing 400016, China., Mpehle RCM; Department of Obstetrics and Gynaecology, Chris Hani Baragwanath Academic Hospital, Johannesburg, South Africa; Department of Obstetrics and Gynaecology, Faculty of Health Science, School of Clinical Medicine, University of the Witwatersrand, Johannesburg, South Africa., Zhou Y; State Key Laboratory of Ultrasound in Medicine and Engineering, Chongqing Medical University, Chongqing 400016, China; Chongqing Key Laboratory of Biomedical Engineering, Chongqing Medical University, Chongqing 400016, China; National Medical Products Administration (NMPA) Key Laboratory for Quality Evaluation of Ultrasonic Surgical Equipment, 507 Gaoxin Ave., Donghu New Technology Development Zone, Wuhan, Hubei 430075, China; National Engineering Research Center of Ultrasound Medicine, Chongqing 401120, China. Electronic address: yufeng.zhou@cqmu.edu.cn.

Πηγή: Ultrasonics [Ultrasonics] 2026 Oct; Vol. 166, pp. 108112. Date of Electronic Publication: 2026 May 12.

Τύπος έκδοσης: Journal Article

Στοιχεία περιοδικού: Publisher: Elsevier Science Country of Publication: Netherlands NLM ID: 0050452 Publication Model: Print-Electronic Cited Medium: Internet ISSN: 1874-9968 (Electronic) Linking ISSN: 0041624X NLM ISO Abbreviation: Ultrasonics Subsets: MEDLINE

Ιατρικοί όροι (MeSH): High-Intensity Focused Ultrasound Ablation*/methods , Liver*/diagnostic imaging , Liver*/surgery , Liver*/pathology , Boosting Machine Learning Algorithms*, Ultrasonography/methods ; Animals ; Cattle ; Classification Algorithms ; Prediction Algorithms ; Predictive Learning Models ; Random Forest ; Support Vector Machine

Health Care Access Barriers Among Reproductive-Age Women in East Africa: Development and Validation of Machine Learning Prediction Models Using DHS Data.

Συγγραφείς: Kelkay JM; Department of Public Health, College of Health Sciences, Debark University, Gondar, Debark, 6000, Ethiopia, 251 0947088025., Aschalew AY; Department of Health Systems and Policy, Institute of Public Health, College of Medicine and Health Sciences, University of Gondar, Gondar, Ethiopia., Teshale G; Department of Health Systems and Policy, Institute of Public Health, College of Medicine and Health Sciences, University of Gondar, Gondar, Ethiopia., Jejaw M; Department of Health Systems and Policy, Institute of Public Health, College of Medicine and Health Sciences, University of Gondar, Gondar, Ethiopia., Demissie KA; Department of Health Systems and Policy, Institute of Public Health, College of Medicine and Health Sciences, University of Gondar, Gondar, Ethiopia., Tadele A; Department of Medical Nursing, School of Nursing, College of Medicine and Health Sciences, University of Gondar, Gondar, Ethiopia., Tiruneh MG; Department of Health Systems and Policy, Institute of Public Health, College of Medicine and Health Sciences, University of Gondar, Gondar, Ethiopia., Tafere TZ; Department of Health Systems and Policy, Institute of Public Health, College of Medicine and Health Sciences, University of Gondar, Gondar, Ethiopia., Hagos A; Department of Health Systems and Policy, Institute of Public Health, College of Medicine and Health Sciences, University of Gondar, Gondar, Ethiopia., Baykemagn ND; Department of Health Informatics, Institute of Public Health, College of Medicine and Health Sciences, University of Gondar, Gondar, Ethiopia.

Πηγή: JMIR medical informatics [JMIR Med Inform] 2026 Sep 28; Vol. 14, pp. e85695. Date of Electronic Publication: 2026 Sep 28.

Τύπος έκδοσης: Journal Article

Στοιχεία περιοδικού: Publisher: JMIR Publications Country of Publication: Canada NLM ID: 101645109 Publication Model: Electronic Cited Medium: Internet ISSN: 2291-9694 (Electronic) Linking ISSN: 22919694 NLM ISO Abbreviation: JMIR Med Inform Subsets: MEDLINE

Ιατρικοί όροι (MeSH): Health Services Accessibility*/statistics & numerical data , Health Services Accessibility*/standards , Boosting Machine Learning Algorithms*, Adolescent ; Adult ; Female ; Humans ; Middle Aged ; Young Adult ; Africa, Eastern ; Classification Algorithms ; East African People ; Predictive Learning Models ; Secondary Data Analysis

Performance of machine learning-based prediction models for hypoglycemia in Chinese patients with diabetes: A systematic review and meta-analysis.

Συγγραφείς: Yan J; Department of General Practice, the People's Hospital of Leshan, Leshan, China., Song Y; Department of General Practice, the People's Hospital of Leshan, Leshan, China., Du Y; Department of General Practice, the People's Hospital of Leshan, Leshan, China., Li F; Department of General Practice, the People's Hospital of Leshan, Leshan, China.

Πηγή: PloS one [PLoS One] 2026 Sep 22; Vol. 21 (9), pp. e0358876. Date of Electronic Publication: 2026 Sep 22 (Print Publication: 2026).

Τύπος έκδοσης: Journal Article; Systematic Review; Meta-Analysis

Στοιχεία περιοδικού: Publisher: Public Library of Science Country of Publication: United States NLM ID: 101285081 Publication Model: eCollection Cited Medium: Internet ISSN: 1932-6203 (Electronic) Linking ISSN: 19326203 NLM ISO Abbreviation: PLoS One Subsets: MEDLINE

Ιατρικοί όροι (MeSH): Hypoglycemia*/diagnosis , Hypoglycemia*/epidemiology , Boosting Machine Learning Algorithms* , Diabetes Mellitus*, China/epidemiology ; Humans ; Classification Algorithms ; Predictive Learning Models ; Random Forest ; ROC Curve ; East Asian People

A Hierarchical Machine Learning-Based Framework for Clinical Decision Support in Foot Orthosis Prescription: Algorithm Development and Validation Study.

Συγγραφείς: Jung JY; Division of Biomedical Engineering, College of Engineering, Jeonbuk National University, 567 Baekje-daero, Deokjin-gu, Jeonju, Jeonbuk-do, 54896, Republic of Korea, 82 63-270-4063, 82 63-270-2247., Yang W; Cyber Warfare Technology Research Center, Cyber Security Research Division, Electronics and Telecommunications Research Institute, Daejeon, Republic of Korea., Kim JJ; Division of Biomedical Engineering, College of Engineering, Jeonbuk National University, 567 Baekje-daero, Deokjin-gu, Jeonju, Jeonbuk-do, 54896, Republic of Korea, 82 63-270-4063, 82 63-270-2247.; Research Center of Healthcare & Welfare Instrument for the Aged, Jeonbuk National University, Jeonju, Jeonbuk-do, Republic of Korea.

Πηγή: JMIR medical informatics [JMIR Med Inform] 2026 Sep 22; Vol. 14, pp. e92831. Date of Electronic Publication: 2026 Sep 22.

Τύπος έκδοσης: Journal Article; Observational Study; Validation Study

Στοιχεία περιοδικού: Publisher: JMIR Publications Country of Publication: Canada NLM ID: 101645109 Publication Model: Electronic Cited Medium: Internet ISSN: 2291-9694 (Electronic) Linking ISSN: 22919694 NLM ISO Abbreviation: JMIR Med Inform Subsets: MEDLINE

Ιατρικοί όροι (MeSH): Foot Orthoses*/statistics & numerical data , Foot Orthoses*/standards , Prescriptions*/statistics & numerical data , Prescriptions*/standards , Boosting Machine Learning Algorithms* , Decision Support Systems, Clinical*, Female ; Humans ; Male ; Middle Aged ; Classification Algorithms ; Predictive Learning Models ; Retrospective Studies

Validation of a machine learning model for predicting early deterioration in the emergency department.

Συγγραφείς: Lee YR; Temerty Faculty of Medicine, University of Toronto, Toronto, ON, Canada., Ruffolo I; Department of Computer Science, University of Toronto, Toronto, ON, Canada., Mashouri P; Department of Computer Science, University of Toronto, Toronto, ON, Canada., Brudno M; Department of Computer Science, University of Toronto, Toronto, ON, Canada., Ben-Yakov M; Temerty Faculty of Medicine, University of Toronto, Toronto, ON, Canada; Department of Computer Science, University of Toronto, Toronto, ON, Canada; Department of Medicine, University of Toronto, Toronto, ON, Canada; Department of Emergency Medicine, University of Toronto, Toronto, ON, Canada. Electronic address: maxim.benyakov@utoronto.ca.

Πηγή: The American journal of emergency medicine [Am J Emerg Med] 2026 Sep; Vol. 107, pp. 77-82. Date of Electronic Publication: 2026 May 07.

Τύπος έκδοσης: Journal Article; Validation Study

Στοιχεία περιοδικού: Publisher: W B Saunders Country of Publication: United States NLM ID: 8309942 Publication Model: Print-Electronic Cited Medium: Internet ISSN: 1532-8171 (Electronic) Linking ISSN: 07356757 NLM ISO Abbreviation: Am J Emerg Med Subsets: MEDLINE

Ιατρικοί όροι (MeSH): Triage*/methods , Boosting Machine Learning Algorithms* , Clinical Deterioration* , Emergency Service, Hospital*, Aged ; Female ; Humans ; Classification Algorithms ; Early Warning Score ; Predictive Learning Models ; Risk Assessment

Growth Hormone Treatment Response and Machine Learning-Based Prediction in Idiopathic GHD and ISS: Analysis of the Korean LG Growth Study.

Συγγραφείς: Park J; Department of Pediatrics, Inha University Hospital, Inha University College of Medicine, Incheon, South Korea., Joo EY; Department of Pediatrics, Inha University Hospital, Inha University College of Medicine, Incheon, South Korea., Kim SJ; Department of Pediatrics, Inha University Hospital, Inha University College of Medicine, Incheon, South Korea., Yoo MJ; Department of Pediatrics, Inha University Hospital, Inha University College of Medicine, Incheon, South Korea., Lee JE; Department of Pediatrics, Inha University Hospital, Inha University College of Medicine, Incheon, South Korea.

Πηγή: Clinical endocrinology [Clin Endocrinol (Oxf)] 2026 Sep; Vol. 105 (3), pp. 322-330. Date of Electronic Publication: 2026 May 17.

Τύπος έκδοσης: Journal Article; Observational Study

Στοιχεία περιοδικού: Publisher: Blackwell Publishing Country of Publication: England NLM ID: 0346653 Publication Model: Print-Electronic Cited Medium: Internet ISSN: 1365-2265 (Electronic) Linking ISSN: 03000664 NLM ISO Abbreviation: Clin Endocrinol (Oxf) Subsets: MEDLINE

Ιατρικοί όροι (MeSH): Dwarfism, Pituitary*/drug therapy , Growth Disorders*/drug therapy , Human Growth Hormone*/therapeutic use , Human Growth Hormone*/deficiency , Boosting Machine Learning Algorithms*, Body Height/drug effects ; Adolescent ; Child ; Female ; Humans ; Male ; Classification Algorithms ; Predictive Learning Models ; Republic of Korea ; Retrospective Studies ; Treatment Outcome

Generative binary memory: Pseudo-Replay class-Incremental learning on binarized embeddings.

Συγγραφείς: Basso-Bert Y; Univ. Grenoble Alpes, CEA, List, Grenoble, F-38000, France. Electronic address: ybassobert@gmail.com., Guicquero W; Univ. Grenoble Alpes, CEA, List, Grenoble, F-38000, France. Electronic address: william.guicquero@cea.fr., Molnos A; Univ. Grenoble Alpes, CEA, List, Grenoble, F-38000, France. Electronic address: anca.molnos@cea.fr., Lemaire R; Univ. Grenoble Alpes, CEA, List, Grenoble, F-38000, France. Electronic address: romain.lemaire@cea.fr., Dupret A; Univ. Grenoble Alpes, CEA, List, Grenoble, F-38000, France. Electronic address: antoine.dupret@cea.fr.

Πηγή: Neural networks : the official journal of the International Neural Network Society [Neural Netw] 2026 Sep; Vol. 201, pp. 108884. Date of Electronic Publication: 2026 Mar 21.

Τύπος έκδοσης: Journal Article

Στοιχεία περιοδικού: Publisher: Pergamon Press Country of Publication: United States NLM ID: 8805018 Publication Model: Print-Electronic Cited Medium: Internet ISSN: 1879-2782 (Electronic) Linking ISSN: 08936080 NLM ISO Abbreviation: Neural Netw Subsets: MEDLINE

Ιατρικοί όροι (MeSH): Deep Learning* , Neural Networks, Computer* , Machine Learning Algorithms*, Humans

Machine-learning-based estimation of ground-level NO2 concentrations across Southeastern Europe using multi-source satellite, reanalysis, and emission data.

Συγγραφείς: Bilgiç E; Department of Environmental Engineering, Faculty of Engineering, Dokuz Eylul University, Izmir, Türkiye. Electronic address: efem.bilgic@deu.edu.tr., Elbir T; Department of Environmental Engineering, Faculty of Engineering, Dokuz Eylul University, Izmir, Türkiye; Environmental Research and Application Center (CEVMER), Dokuz Eylul University, Izmir, Türkiye.

Πηγή: Environmental pollution (Barking, Essex : 1987) [Environ Pollut] 2026 Aug 15; Vol. 403, pp. 128461. Date of Electronic Publication: 2026 May 28.

Τύπος έκδοσης: Journal Article

Στοιχεία περιοδικού: Publisher: Elsevier Applied Science Publishers Country of Publication: England NLM ID: 8804476 Publication Model: Print-Electronic Cited Medium: Internet ISSN: 1873-6424 (Electronic) Linking ISSN: 02697491 NLM ISO Abbreviation: Environ Pollut Subsets: MEDLINE

Ιατρικοί όροι (MeSH): Air Pollutants*/analysis , Environmental Monitoring*/methods , Nitrogen Dioxide*/analysis , Boosting Machine Learning Algorithms*, Air Pollution/statistics & numerical data ; Europe ; Satellite Imagery

Microplastics deplete soil available nutrients: a global meta-analysis with machine learning reveals critical thresholds and interactive controls.

Συγγραφείς: Xiang Y; School of Geography and Resources, Guizhou Education University, Guiyang 550018, China., Peñuelas J; CSIC Global Ecology Unit, CREAF-CSIC-UAB, 08193 Bellaterra, Catalonia, Spain; CREAF - Ecological and Forestry Applications Research Centre, 08193 Cerdanyola del Vallès, Catalonia, Spain., Rillig MC; Institut für Biologie, Berlin-Brandenburg Institute of Advanced Biodiversity Research (BBIB), Freie Universität Berlin, Berlin D-14195, Germany., Luo X; School of Geography and Resources, Guizhou Education University, Guiyang 550018, China., Nizzetto L; Norwegian Institute for Water Research, Økernveien 94, 0579 Oslo, Norway., Akkanen J; Department of Environmental and Biological Sciences, University of Eastern Finland, Joensuu, Finland., Liu Y; School of Biological Sciences, Guizhou Education University, Guiyang 550018, China., Luo Y; School of Geography and Resources, Guizhou Education University, Guiyang 550018, China., Yao B; State Key Laboratory of Tree Genetics and Breeding, Institute of Ecology Conservation and Restoration, Chinese Academy of Forestry, Beijing 100091, China. Electronic address: acmn21@caf.ac.cn., Li Y; Grasslands and Sustainable Farming, Production Systems Unit, Natural Resources Institute Finland, Halolantie 31 A, 71750, Maaninka, Finland. Electronic address: yuan.li@luke.fi.

Πηγή: Water research [Water Res] 2026 Aug 15; Vol. 301, pp. 126056. Date of Electronic Publication: 2026 May 02.

Τύπος έκδοσης: Journal Article; Meta-Analysis

Στοιχεία περιοδικού: Publisher: Pergamon Press Country of Publication: England NLM ID: 0105072 Publication Model: Print-Electronic Cited Medium: Internet ISSN: 1879-2448 (Electronic) Linking ISSN: 00431354 NLM ISO Abbreviation: Water Res Subsets: MEDLINE

Ιατρικοί όροι (MeSH): Soil*/chemistry , Boosting Machine Learning Algorithms* , Microplastics*, Nitrogen ; Nutrients ; Phosphorus ; Soil Pollutants

A scalable Earth observation-based machine learning framework for high-resolution mapping and uncertainty assessment of climate-sensitive child health vulnerability in Bangladesh.

Συγγραφείς: Moniruzzaman M; Department of Geography and Environmental Studies, University of Rajshahi, Bangladesh. Electronic address: mzges@ru.ac.bd.

Πηγή: The Science of the total environment [Sci Total Environ] 2026 Aug 01; Vol. 1042, pp. 181919. Date of Electronic Publication: 2026 Jun 01.

Τύπος έκδοσης: Journal Article

Στοιχεία περιοδικού: Publisher: Elsevier Country of Publication: Netherlands NLM ID: 0330500 Publication Model: Print-Electronic Cited Medium: Internet ISSN: 1879-1026 (Electronic) Linking ISSN: 00489697 NLM ISO Abbreviation: Sci Total Environ Subsets: MEDLINE

Ιατρικοί όροι (MeSH): Child Health*/statistics & numerical data , Boosting Machine Learning Algorithms* , Climate Change*, Environmental Monitoring/methods ; Humans ; Bangladesh ; Climate ; Predictive Learning Models ; Random Forest ; Uncertainty

Development of a LightGBM-based survival prediction model for major burn patients using LDH/LYM ratio as the core predictor.

Συγγραφείς: Sun N; Department of Burn Surgery, Changhai Hospital, Navy Medical University, Shanghai 200433, PR China., Fan H; Department of Burn and Plastic Surgery, No.971 Hospital of the People's Liberation Army Navy, Qingdao, PR China., Zhu L; Department of Burn Surgery, Changhai Hospital, Navy Medical University, Shanghai 200433, PR China., Yi W; Department of Burn Surgery, Changhai Hospital, Navy Medical University, Shanghai 200433, PR China., Zhang L; Department of Burn Surgery, Changhai Hospital, Navy Medical University, Shanghai 200433, PR China., Wang G; Department of Burn Surgery, Changhai Hospital, Navy Medical University, Shanghai 200433, PR China. Electronic address: 13023225660@163.com., Wu G; Department of Burn Surgery, Changhai Hospital, Navy Medical University, Shanghai 200433, PR China. Electronic address: 18019359841@163.com.

Πηγή: Burns : journal of the International Society for Burn Injuries [Burns] 2026 Aug; Vol. 52 (6), pp. 108022. Date of Electronic Publication: 2026 Apr 17.

Τύπος έκδοσης: Journal Article

Στοιχεία περιοδικού: Publisher: Elsevier Country of Publication: Netherlands NLM ID: 8913178 Publication Model: Print-Electronic Cited Medium: Internet ISSN: 1879-1409 (Electronic) Linking ISSN: 03054179 NLM ISO Abbreviation: Burns Subsets: MEDLINE

Ιατρικοί όροι (MeSH): Burns*/mortality , Burns*/blood , L-Lactate Dehydrogenase*/blood , Boosting Machine Learning Algorithms*, Biomarkers/blood ; Adult ; Aged ; Female ; Humans ; Male ; Middle Aged ; Area Under Curve ; Body Surface Area ; Kaplan-Meier Estimate ; Lymphocyte Count ; Multivariate Analysis ; Prognosis ; Retrospective Studies ; ROC Curve ; Prediction Methods, Machine

An ensemble machine learning approach for predicting anemia among under-five children in malaria-endemic sub-Saharan African countries.

Συγγραφείς: Tekeba B; Department of Pediatrics and Child Health Nursing, School of Nursing, College of Medicine and Health Sciences, University of Gondar, Gondar, Ethiopia. berishboss7@gmail.com., Baykemagn ND; Department of Health Informatics, Institute of Public Health, College of Medicine and Health Sciences, University of Gondar, Gondar, Ethiopia., Mengesha AT; Department of Information Science, College of Informatics, University of Gondar, Gondar, Ethiopia., Mengstie MA; Department of Information Science, College of Informatics, University of Gondar, Gondar, Ethiopia.

Πηγή: Infectious diseases of poverty [Infect Dis Poverty] 2026 Jul 13; Vol. 15 (1). Date of Electronic Publication: 2026 Jul 13.

Τύπος έκδοσης: Journal Article

Στοιχεία περιοδικού: Publisher: BioMed Central Country of Publication: England NLM ID: 101606645 Publication Model: Electronic Cited Medium: Internet ISSN: 2049-9957 (Electronic) Linking ISSN: 20499957 NLM ISO Abbreviation: Infect Dis Poverty Subsets: MEDLINE

Ιατρικοί όροι (MeSH): Anemia*/epidemiology , Anemia*/diagnosis , Anemia*/etiology , Malaria*/epidemiology , Malaria*/complications , Boosting Machine Learning Algorithms*, Africa South of the Sahara/epidemiology ; Child, Preschool ; Female ; Humans ; Infant ; Male ; Classification Algorithms ; Cross-Sectional Studies ; Predictive Learning Models ; Random Forest

Machine learning-based prediction of 3-6-month post-stroke cognitive impairment using acute-phase clinical data: a two-center retrospective prognostic modeling study.

Συγγραφείς: Chen X; Shijiazhuang People's Hospital, Shijiazhuang, China., Ma J; Shijiazhuang People's Hospital, Shijiazhuang, China., Chang Y; Shijiazhuang Traditional Chinese Medicine Hospital, Shijiazhuang, China., Wang H; Shijiazhuang People's Hospital, Shijiazhuang, China., Li X; Shijiazhuang People's Hospital, Shijiazhuang, China., Li Q; Shijiazhuang People's Hospital, Shijiazhuang, China., Ma S; Hebei University of Chinese Medicine, Shijiazhuang, China., Zhang J; Shijiazhuang People's Hospital, Shijiazhuang, China., Xu J; Shijiazhuang People's Hospital, Shijiazhuang, China. xjc_listening@163.com.

Πηγή: BMC medical informatics and decision making [BMC Med Inform Decis Mak] 2026 Jul 09; Vol. 26 (1). Date of Electronic Publication: 2026 Jul 09.

Τύπος έκδοσης: Journal Article; Multicenter Study

Στοιχεία περιοδικού: Publisher: BioMed Central Country of Publication: England NLM ID: 101088682 Publication Model: Electronic Cited Medium: Internet ISSN: 1472-6947 (Electronic) Linking ISSN: 14726947 NLM ISO Abbreviation: BMC Med Inform Decis Mak Subsets: MEDLINE

Ιατρικοί όροι (MeSH): Cognitive Dysfunction*/etiology , Cognitive Dysfunction*/diagnosis , Stroke*/complications , Boosting Machine Learning Algorithms*, Risk Assessment/methods ; Aged ; Female ; Humans ; Male ; Middle Aged ; Classification Algorithms ; Predictive Learning Models ; Prognosis ; Retrospective Studies

Development and Validation of an Interpretable Machine Learning Model for Predicting 1-Year Cardiac Death After Percutaneous Coronary Intervention in Patients With Acute Myocardial Infarction: A Multicenter Study.

Συγγραφείς: Liu H; Tianjin Key Laboratory of Ionic-Molecular Function of Cardiovascular Disease, Department of Cardiology, Tianjin Institute of Cardiology The Second Hospital of Tianjin Medical University Tianjin China.; Department of Cardiology Heart Center, Inner Mongolia People's Hospital Hohhot China., Hu S; Tianjin Key Laboratory of Ionic-Molecular Function of Cardiovascular Disease, Department of Cardiology, Tianjin Institute of Cardiology The Second Hospital of Tianjin Medical University Tianjin China., Zhang Y; Tianjin Key Laboratory of Ionic-Molecular Function of Cardiovascular Disease, Department of Cardiology, Tianjin Institute of Cardiology The Second Hospital of Tianjin Medical University Tianjin China., Gu T; Tianjin Key Laboratory of Ionic-Molecular Function of Cardiovascular Disease, Department of Cardiology, Tianjin Institute of Cardiology The Second Hospital of Tianjin Medical University Tianjin China., Zhang J; Cardiovascular Research Institute University of California San Francisco CA USA., Wu X; Institute for Global Health Sciences University of California San Francisco CA USA., Liu X; Tianjin Key Laboratory of Ionic-Molecular Function of Cardiovascular Disease, Department of Cardiology, Tianjin Institute of Cardiology The Second Hospital of Tianjin Medical University Tianjin China., Shao X; NHC Key Laboratory of Hormones and Development, Tianjin Key Laboratory of Metabolic Diseases, Chu Hsien-I Memorial Hospital & Tianjin Institute of Endocrinology Tianjin Medical University Tianjin China., Wang L; Cardiology Department, Chest Hospital Tianjin University Tianjin China., Tse G; Tianjin Key Laboratory of Ionic-Molecular Function of Cardiovascular Disease, Department of Cardiology, Tianjin Institute of Cardiology The Second Hospital of Tianjin Medical University Tianjin China.; School of Nursing and Health Studies Hong Kong Metropolitan University Hong Kong China., Liu T; Tianjin Key Laboratory of Ionic-Molecular Function of Cardiovascular Disease, Department of Cardiology, Tianjin Institute of Cardiology The Second Hospital of Tianjin Medical University Tianjin China., Chen K; Tianjin Key Laboratory of Ionic-Molecular Function of Cardiovascular Disease, Department of Cardiology, Tianjin Institute of Cardiology The Second Hospital of Tianjin Medical University Tianjin China.

Πηγή: Journal of the American Heart Association [J Am Heart Assoc] 2026 Jul 07; Vol. 15 (13), pp. e044796. Date of Electronic Publication: 2026 Jun 23.

Τύπος έκδοσης: Journal Article; Multicenter Study; Validation Study; Research Support, Non-U.S. Gov't

Στοιχεία περιοδικού: Publisher: Wiley-Blackwell Country of Publication: England NLM ID: 101580524 Publication Model: Print-Electronic Cited Medium: Internet ISSN: 2047-9980 (Electronic) Linking ISSN: 20479980 NLM ISO Abbreviation: J Am Heart Assoc Subsets: MEDLINE

Ιατρικοί όροι (MeSH): Myocardial Infarction*/mortality , Myocardial Infarction*/surgery , Percutaneous Coronary Intervention*/adverse effects , Percutaneous Coronary Intervention*/mortality , Boosting Machine Learning Algorithms*, China/epidemiology ; Risk Assessment/methods ; Aged ; Female ; Humans ; Male ; Middle Aged ; Predictive Learning Models ; Predictive Value of Tests ; Reproducibility of Results ; Retrospective Studies ; Risk Factors ; Time Factors

Multi-metric evaluation and parametric optimization of stochastic gradient boosting machines for genomic prediction and selection in wheat (Triticum aestivum) breeding.

Συγγραφείς: Munroe HN; Division of Plant Breeding Methodology, Department of Crop Sciences, University of Göttingen, Carl-Sprengel-Weg 1, Göttingen 37075, Lower Saxony, Germany., Osatohanmwen BE; Division of Plant Breeding Methodology, Department of Crop Sciences, University of Göttingen, Carl-Sprengel-Weg 1, Göttingen 37075, Lower Saxony, Germany.; Center for Integrated Breeding Research, University of Göttingen, Albrecht-Thaer-Weg 3, Göttingen 37075, Lower Saxony, Germany., Reza Sharifi A; Center for Integrated Breeding Research, University of Göttingen, Albrecht-Thaer-Weg 3, Göttingen 37075, Lower Saxony, Germany.; Division of Animal Breeding and Genetics, Department of Animal Sciences, University of Göttingen, Albrecht-Thaer-Weg 3, Göttingen 37075, Lower Saxony, Germany.

Πηγή: G3 (Bethesda, Md.) [G3 (Bethesda)] 2026 Jul 06; Vol. 16 (7).

Τύπος έκδοσης: Journal Article

Στοιχεία περιοδικού: Publisher: Oxford University Press Country of Publication: England NLM ID: 101566598 Publication Model: Print Cited Medium: Internet ISSN: 2160-1836 (Electronic) Linking ISSN: 21601836 NLM ISO Abbreviation: G3 (Bethesda) Subsets: MEDLINE

Ιατρικοί όροι (MeSH): Triticum*/genetics , Genomics*/methods , Selection, Genetic* , Plant Breeding* , Boosting Machine Learning Algorithms*, Genome, Plant ; Hybridization, Genetic

PRIMARCH-APP AI: Development and Internal Validation of an Explainable Machine Learning Model for Preoperative Prediction of Complicated Acute Appendicitis.

Συγγραφείς: Molnar DC, Cosma CD, Botoncea M, Tudor A, Butiurcă VO, Molnar C, Andrei BS

Πηγή: Chirurgia (Bucharest, Romania : 1990) [Chirurgia (Bucur)] 2026 Jul; Vol. 121 (4), pp. 371-382.

Τύπος έκδοσης: Journal Article; Observational Study; Validation Study

Στοιχεία περιοδικού: Publisher: Editura Celsius Country of Publication: Romania NLM ID: 9213031 Publication Model: Print Cited Medium: Print ISSN: 1221-9118 (Print) Linking ISSN: 12219118 NLM ISO Abbreviation: Chirurgia (Bucur) Subsets: MEDLINE

Ιατρικοί όροι (MeSH): Appendectomy*/methods , Appendicitis*/surgery , Appendicitis*/diagnosis , Appendicitis*/complications , Boosting Machine Learning Algorithms*, Adult ; Female ; Humans ; Male ; Middle Aged ; Acute Disease ; Logistic Models ; Predictive Learning Models ; Predictive Value of Tests ; Preoperative Period ; Prospective Studies ; Random Forest ; Reproducibility of Results ; Risk Assessment ; ROC Curve ; Sensitivity and Specificity

Machine Learning Model for Predicting Visual Acuity Improvement After Intrastromal Corneal Ring Surgery in Patients With Keratoconus.

Συγγραφείς: Perez E; GRC 32, Transplantation et Thérapies Innovantes de La Cornée, TTIC, Hôpital National des 15-20, Sorbonne Université, Paris, France ; and., Louissi N; GRC 32, Transplantation et Thérapies Innovantes de La Cornée, TTIC, Hôpital National des 15-20, Sorbonne Université, Paris, France ; and., Kallel S; GRC 32, Transplantation et Thérapies Innovantes de La Cornée, TTIC, Hôpital National des 15-20, Sorbonne Université, Paris, France ; and., Hays Q; GRC 32, Transplantation et Thérapies Innovantes de La Cornée, TTIC, Hôpital National des 15-20, Sorbonne Université, Paris, France ; and., Bouheraoua N; GRC 32, Transplantation et Thérapies Innovantes de La Cornée, TTIC, Hôpital National des 15-20, Sorbonne Université, Paris, France ; and., Hamrani M; GRC 32, Transplantation et Thérapies Innovantes de La Cornée, TTIC, Hôpital National des 15-20, Sorbonne Université, Paris, France ; and., Chessel A; Laboratory for Optics and Biosciences (LOB), École Polytechnique, CNRS, Inserm, Institut Polytechnique de Paris, Palaiseau, France ., Borderie V; GRC 32, Transplantation et Thérapies Innovantes de La Cornée, TTIC, Hôpital National des 15-20, Sorbonne Université, Paris, France ; and.

Πηγή: Cornea [Cornea] 2026 Jul 01; Vol. 45 (7), pp. 840-850. Date of Electronic Publication: 2025 Jul 23.

Τύπος έκδοσης: Journal Article

Στοιχεία περιοδικού: Publisher: Lippincott Williams & Wilkins Country of Publication: United States NLM ID: 8216186 Publication Model: Print-Electronic Cited Medium: Internet ISSN: 1536-4798 (Electronic) Linking ISSN: 02773740 NLM ISO Abbreviation: Cornea Subsets: MEDLINE

Ιατρικοί όροι (MeSH): Corneal Stroma*/surgery , Keratoconus*/surgery , Keratoconus*/physiopathology , Visual Acuity*/physiology , Boosting Machine Learning Algorithms* , Prostheses and Implants* , Prosthesis Implantation*, Refraction, Ocular/physiology ; Adolescent ; Adult ; Female ; Humans ; Male ; Young Adult ; Corneal Topography ; Predictive Learning Models ; Retrospective Studies

Key predictive factors of breast cancer based on race using machine learning models.

Συγγραφείς: Yin S; School of Engineering Technology, Purdue University, West Lafayette, IN 47907, USA., Nanda G; School of Engineering Technology, Purdue University, West Lafayette, IN 47907, USA., Sundararajan R; School of Engineering Technology, Purdue University, West Lafayette, IN 47907, USA. Electronic address: raji@purdue.edu.

Πηγή: Annals of epidemiology [Ann Epidemiol] 2026 Jul; Vol. 119, pp. 110080. Date of Electronic Publication: 2026 Mar 28.

Τύπος έκδοσης: Journal Article

Στοιχεία περιοδικού: Publisher: Elsevier Country of Publication: United States NLM ID: 9100013 Publication Model: Print-Electronic Cited Medium: Internet ISSN: 1873-2585 (Electronic) Linking ISSN: 10472797 NLM ISO Abbreviation: Ann Epidemiol Subsets: MEDLINE

Ιατρικοί όροι (MeSH): Breast Neoplasms*/ethnology , Breast Neoplasms*/epidemiology , Racial Groups*/statistics & numerical data , Boosting Machine Learning Algorithms*, Mammography/statistics & numerical data ; Adult ; Aged ; Female ; Humans ; Middle Aged ; Young Adult ; Age Factors ; Bayes Theorem ; Classification Algorithms ; Incidence ; Logistic Models ; Prediction Algorithms ; Predictive Learning Models ; Risk Factors ; White