eBook
Predictive Modeling in Biomedical Data Mining and Analysis
| Τίτλος: | Predictive Modeling in Biomedical Data Mining and Analysis |
|---|---|
| Περιγραφή: | Predictive Modeling in Biomedical Data Mining and Analysis presents major technical advancements and research findings in the field of machine learning in biomedical image and data analysis. The book examines recent technologies and studies in preclinical and clinical practice in computational intelligence. The authors present leading-edge research in the science of processing, analyzing and utilizing all aspects of advanced computational machine learning in biomedical image and data analysis. As the application of machine learning is spreading to a variety of biomedical problems, including automatic image segmentation, image classification, disease classification, fundamental biological processes, and treatments, this is an ideal reference. Machine Learning techniques are used as predictive models for many types of applications, including biomedical applications. These techniques have shown impressive results across a variety of domains in biomedical engineering research. Biology and medicine are data-rich disciplines, but the data are complex and often ill-understood, hence the need for new resources and information. - Includes predictive modeling algorithms for both Supervised Learning and Unsupervised Learning for medical diagnosis, data summarization and pattern identification - Offers complete coverage of predictive modeling in biomedical applications, including data visualization, information retrieval, data mining, image pre-processing and segmentation, mathematical models and deep neural networks - Provides readers with leading-edge coverage of biomedical data processing, including high dimension data, data reduction, clinical decision-making, deep machine learning in large data sets, multimodal, multi-task, and transfer learning, as well as machine learning with Internet of Biomedical Things applications |
| Συγγραφείς: | Sudipta Roy, Lalit Mohan Goyal, Valentina Emilia Balas, Basant Agarwal, Mamta Mittal |
| Resource Type: | eBook. |
| Θέματα: | Data mining, Medical informatics--Data processing, Biomedical engineering--Data processing |
| Categories: | SCIENCE / Biotechnology, TECHNOLOGY & ENGINEERING / Biomedical |
| Βάση Δεδομένων: | eBook Index |
| FullText | Text: Availability: 0 |
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| Header | DbId: edsebk DbLabel: eBook Index An: 3051887 RelevancyScore: 962 AccessLevel: 6 PubType: eBook PubTypeId: ebook PreciseRelevancyScore: 962.24267578125 |
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| Items | – Name: Title Label: Title Group: Ti Data: Predictive Modeling in Biomedical Data Mining and Analysis – Name: Abstract Label: Description Group: Ab Data: Predictive Modeling in Biomedical Data Mining and Analysis presents major technical advancements and research findings in the field of machine learning in biomedical image and data analysis. The book examines recent technologies and studies in preclinical and clinical practice in computational intelligence. The authors present leading-edge research in the science of processing, analyzing and utilizing all aspects of advanced computational machine learning in biomedical image and data analysis. As the application of machine learning is spreading to a variety of biomedical problems, including automatic image segmentation, image classification, disease classification, fundamental biological processes, and treatments, this is an ideal reference. Machine Learning techniques are used as predictive models for many types of applications, including biomedical applications. These techniques have shown impressive results across a variety of domains in biomedical engineering research. Biology and medicine are data-rich disciplines, but the data are complex and often ill-understood, hence the need for new resources and information. - Includes predictive modeling algorithms for both Supervised Learning and Unsupervised Learning for medical diagnosis, data summarization and pattern identification - Offers complete coverage of predictive modeling in biomedical applications, including data visualization, information retrieval, data mining, image pre-processing and segmentation, mathematical models and deep neural networks - Provides readers with leading-edge coverage of biomedical data processing, including high dimension data, data reduction, clinical decision-making, deep machine learning in large data sets, multimodal, multi-task, and transfer learning, as well as machine learning with Internet of Biomedical Things applications – Name: Author Label: Authors Group: Au Data: <searchLink fieldCode="AR" term="%22Sudipta+Roy%22">Sudipta Roy</searchLink><br /><searchLink fieldCode="AR" term="%22Lalit+Mohan+Goyal%22">Lalit Mohan Goyal</searchLink><br /><searchLink fieldCode="AR" term="%22Valentina+Emilia+Balas%22">Valentina Emilia Balas</searchLink><br /><searchLink fieldCode="AR" term="%22Basant+Agarwal%22">Basant Agarwal</searchLink><br /><searchLink fieldCode="AR" term="%22Mamta+Mittal%22">Mamta Mittal</searchLink> – Name: TypePub Label: Resource Type Group: TypPub Data: eBook. – Name: Subject Label: Subjects Group: Su Data: <searchLink fieldCode="DE" term="%22Data+mining%22">Data mining</searchLink><br /><searchLink fieldCode="DE" term="%22Medical+informatics--Data+processing%22">Medical informatics--Data processing</searchLink><br /><searchLink fieldCode="DE" term="%22Biomedical+engineering--Data+processing%22">Biomedical engineering--Data processing</searchLink> – Name: SubjectBISAC Label: Categories Group: Su Data: <searchLink fieldCode="ZK" term="%22SCIENCE+%2F+Biotechnology%22">SCIENCE / Biotechnology</searchLink><br /><searchLink fieldCode="ZK" term="%22TECHNOLOGY+%26+ENGINEERING+%2F+Biomedical%22">TECHNOLOGY & ENGINEERING / Biomedical</searchLink> |
| PLink | https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=edsebk&AN=3051887 |
| RecordInfo | BibRecord: BibEntity: Classifications: – Code: 610.285 Scheme: ddc Type: prePub Languages: – Code: eng Text: English Subjects: – SubjectFull: Data mining Type: general – SubjectFull: Medical informatics--Data processing Type: general – SubjectFull: Biomedical engineering--Data processing Type: general Titles: – TitleFull: Predictive Modeling in Biomedical Data Mining and Analysis Type: main BibRelationships: HasContributorRelationships: – PersonEntity: Name: NameFull: Sudipta Roy – PersonEntity: Name: NameFull: Lalit Mohan Goyal – PersonEntity: Name: NameFull: Valentina Emilia Balas – PersonEntity: Name: NameFull: Basant Agarwal – PersonEntity: Name: NameFull: Mamta Mittal – PersonEntity: Name: NameFull: Sudipta Roy – PersonEntity: Name: NameFull: Lalit Mohan Goyal – PersonEntity: Name: NameFull: Valentina Emilia Balas – PersonEntity: Name: NameFull: Basant Agarwal – PersonEntity: Name: NameFull: Mamta Mittal IsPartOfRelationships: – BibEntity: Dates: – D: 01 M: 01 Type: published Y: 2022 – D: 15 M: 06 Type: profile Y: 2023 Identifiers: – Type: isbn-print Value: 9780323998642 – Type: isbn-electronic Value: 9780323914451 Titles: – TitleFull: Predictive Modeling in Biomedical Data Mining and Analysis Type: main |
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