Leveraging Machine Learning for Predictive Maintenance in Pharmaceutical Production

Authors: Koppichetti, Ravi Kiran

Source: International Journal of Innovative Research in Engineering & Multidisciplinary Physical Sciences. 13

Subject Terms: Big Data, Artificial intelligence, Artificial Intelligence/statistics & numerical data, Artificial Intelligence/economics, Artificial Intelligence/standards, Data Mining/methods, Data Mining/trends, Machine Learning, Data Mining/standards, Big data, Internet of things (IoT), Artificial Intelligence, Machine learning, Machine Learning/classification, Data Mining, Artificial Intelligence/trends, Big Data/economics, Data Mining/statistics & numerical data, Data mining, Pharmaceutical manufacturing systems, Predictive maintenance, Data Mining/classification, Big Data/supply & distribution, Industry 4.0, Artificial Intelligence/classification, Supervised Machine Learning

Spectrum of Techniques: Data Mining vs. Social Media Mining

Authors: Biswas, Sayak, orcid:0009-0004-1850-

Subject Terms: Data mining, Data Mining/statistics & numerical data, Data Mining/ethics, Data Mining/history, Data Mining/classification, Data Mining/methods, Data Mining/standards, Library sciences

Relation: https://zenodo.org/records/15363646; oai:zenodo.org:15363646; https://doi.org/10.5281/zenodo.15363646

Availability: https://doi.org/10.5281/zenodo.15363646
https://zenodo.org/records/15363646

COVID19 Disease Map, a computational knowledge repository of virus-host interaction mechanisms.

Authors: Ostaszewski, Marek, Niarakis, Anna, Ruepp, Andreas, Soliman, Sylvain, Valdeolivas, Alberto, Esteban-Medina, Marina, Peña-Chilet, Maria, Rian, Kinza, Helikar, Tomáš, Puniya, Bhanwar Lal, Modos, Dezso, Treveil, Agatha, Olbei, Marton, Fobo, Gisela, De Meulder, Bertrand, Ballereau, Stephane, Dugourd, Aurélien, Naldi, Aurélien, Noël, Vincent, Calzone, Laurence, Sander, Chris, Demir, Emek, Korcsmaros, Tamas, Freeman, Tom C, Montrone, Corinna, Augé, Franck, Beckmann, Jacques S, Hasenauer, Jan, Wolkenhauer, Olaf, Wilighagen, Egon L, Pico, Alexander R, Evelo, Chris T, Gillespie, Marc E, Stein, Lincoln D, Hermjakob, Henning, Brauner, Barbara, D'Eustachio, Peter, Saez-Rodriguez, Julio, Dopazo, Joaquin, Valencia, Alfonso, Kitano, Hiroaki, Barillot, Emmanuel, Auffray, Charles, Balling, Rudi, Schneider, Reinhard, Community, COVID-19 Disease Map, Frishman, Goar, Monraz Gómez, Luis Cristóbal, Somers, Julia, Hoch, Matti, Kumar Gupta, Shailendra, Scheel, Julia, Mazein, Alexander, Borlinghaus, Hanna, Czauderna, Tobias, Schreiber, Falk, Montagud, Arnau, Ponce de Leon, Miguel, Funahashi, Akira, Hiki, Yusuke, Hiroi, Noriko, Yamada, Takahiro G, Dräger, Andreas, Kuperstein, Inna, Renz, Alina, Naveez, Muhammad, Bocskei, Zsolt, Messina, Francesco, Börnigen, Daniela, Fergusson, Liam, Conti, Marta, Rameil, Marius, Nakonecnij, Vanessa, Vanhoefer, Jakob, Phair, Robert, Schmiester, Leonard, Wang, Muying, Ackerman, Emily E, Shoemaker, Jason E, Zucker, Jeremy, Oxford, Kristie, Teuton, Jeremy, Kocakaya, Ebru, Summak, Gökçe Yağmur, Hanspers, Kristina, Orta-Resendiz, Aurelio, Kutmon, Martina, Coort, Susan, Eijssen, Lars, Ehrhart, Friederike, Rex, Devasahayam Arokia Balaya, Slenter, Denise, Martens, Marvin, Pham, Nhung, Haw, Robin, Jassal, Bijay, Singh, Vidisha, Matthews, Lisa, Orlic-Milacic, Marija, Senff Ribeiro, Andrea, Rothfels, Karen, Shamovsky, Veronica, Stephan, Ralf, Sevilla, Cristoffer, Varusai, Thawfeek, Ravel, Jean-Marie, Fraser, Rupsha, Aghamiri, Sara Sadat, Ortseifen, Vera, Marchesi, Silvia, Gawron, Piotr, Smula, Ewa, Heirendt, Laurent, Satagopam, Venkata, Wu, Guanming, Riutta, Anders, Golebiewski, Martin, Owen, Stuart, Acencio, Marcio Luis, Goble, Carole, Hu, Xiaoming, Overall, Rupert, Maier, Dieter, Bauch, Angela, Gyori, Benjamin M, Bachman, John A, Vega, Carlos, Grouès, Valentin, Vazquez, Miguel, Glaab, Enrico, Porras, Pablo, Licata, Luana, Iannuccelli, Marta, Sacco, Francesca, Nesterova, Anastasia, Yuryev, Anton, de Waard, Anita, Turei, Denes, Luna, Augustin, Babur, Ozgun

Source: Molecular systems biology 17(10), e10387 (2021). doi:10.15252/msb.202110387

Subject Terms: info:eu-repo/classification/ddc/570, COVID-19 Drug Treatment, Antiviral Agents: therapeutic use, COVID-19: drug therapy, COVID-19: genetics, COVID-19: immunology, COVID-19: virology, Computational Biology: methods, Computer Graphics, Cytokines: genetics, Cytokines: immunology, Data Mining: statistics & numerical data, Databases, Factual, Gene Expression Regulation, Host Microbial Interactions: genetics, Host Microbial Interactions: immunology, Humans, Immunity, Cellular: drug effects, Humoral: drug effects, Innate: drug effects, Lymphocytes: drug effects, Lymphocytes: immunology, Lymphocytes: virology, Metabolic Networks and Pathways: genetics, Metabolic Networks and Pathways: immunology, Myeloid Cells: drug effects, Myeloid Cells: immunology, Myeloid Cells: virology

Subject Geographic: DE

Relation: info:eu-repo/semantics/altIdentifier/issn/1744-4292; info:eu-repo/semantics/altIdentifier/pmid/pmid:34664389; https://pub.dzne.de/record/162909

Availability: https://pub.dzne.de/record/162909
https://pub.dzne.de/search?p=id:%22DZNE-2021-01564%22

Science mapping analysis characterizes 235 biases in biomedical research

Authors: John P. A. Ioannidis, David Chavalarias

Source: Journal of Clinical Epidemiology. 63:1205-1215

Subject Terms: PubMed, Biomedical Research, Publication Bias/*statistics & numerical data, Data Mining/statistics & numerical data, 01 natural sciences, 3. Good health, 03 medical and health sciences, 0302 clinical medicine, PubMed/statistics & numerical data, Cluster Analysis, Data Mining, Humans, 0101 mathematics, Biomedical Research/methods/standards/*statistics & numerical data, Publication Bias, Selection Bias

Access URL: https://pubmed.ncbi.nlm.nih.gov/20400265
https://www.ncbi.nlm.nih.gov/pubmed/20400265
https://www.sciencedirect.com/science/article/pii/S0895435610000223
https://pubmed.ncbi.nlm.nih.gov/20400265/
https://europepmc.org/article/MED/20400265
http://www.sciencedirect.com/science/article/pii/S0895435610000223
http://olympias.lib.uoi.gr/jspui/handle/123456789/18452

Science mapping analysis characterizes 235 biases in biomedical research

Authors: Chavalarias, D., Ioannidis, J. P.

Subject Terms: Biomedical Research/methods/standards/*statistics & numerical data, Cluster Analysis, Data Mining/statistics & numerical data, Humans, PubMed/statistics & numerical data, Publication Bias/*statistics & numerical data, Selection Bias

Relation: http://olympias.lib.uoi.gr/jspui/handle/123456789/18452

Availability: http://olympias.lib.uoi.gr/jspui/handle/123456789/18452