Papers matching “training data selection” 434
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Abstract A051: Multi-omic explainable machine learning improves cancer treatment outcome prediction2025 Clinical Cancer Research conference-abstract Biochemistry, Genetics and Molecular Biology Breast Cancer Treatment Studies
Khoa Anh Tran, Venkateswar Addala, Lambros T. Koufariotis, Jia Zhang, Scott Wood, Conrad Leonard, +10 more
2citations -
Survey of Gravitationally-lensed Objects in HSC Imaging (SuGOHI)2020 Astronomy and Astrophysics article Physics and Astronomy Galaxies: Formation, Evolution, Phenomena Open access
Alessandro Sonnenfeld, Aprajita Verma, Anupreeta More, Elisabeth Baeten, Christine Macmillan, Kenneth C. Wong, +16 more
63citations -
Acquiring Accurate Real-Time Formation Fluid Properties to Provide In-Situ Fluid Analysis While Drilling2023 SPE Offshore Europe Conference & Exhibition conference-paper Engineering Hydrocarbon exploration and reservoir analysis
Ansgar Cartellieri, Philipp Schapotschnikow, Wolfgang Weinzierl, J. Denninger, Alina Adams
2citations -
Identifying radiomics signatures in body composition imaging for the prediction of outcome following pancreatic cancer resection2023 Frontiers in Oncology article Medicine Radiomics and Machine Learning in Medical Imaging Open access
Gregory van der Kroft, Leonard Wee, Sander S. Rensen, Ralph Brecheisen, David P.J. van Dijk, Roman Eickhoff, +5 more
15citations -
The Effects of Blood Flow Restriction in Patients Undergoing Knee Surgery: A Systematic Review and Meta-analysis2021 The American Journal of Sports Medicine review Medicine Cardiovascular and exercise physiology Open access
Lawrence J. Wengle, Filippo Migliorini, Timothy Sean Leroux, Jaskarndip Chahal, John S. Theodoropoulos, Marcel Betsch
55citations -
Survey of Gravitationally-lensed Objects in HSC Imaging (SuGOHI). VI. Crowdsourced lens finding with Space Warps2020 Leiden Repository (Leiden University) article Physics and Astronomy Galaxies: Formation, Evolution, Phenomena Open access
Alessandro Sonnenfeld, Aprajita Verma, Anupreeta More, Elisabeth Baeten, Christine Macmillan, Kenneth C. Wong, +16 more
2citations -
Predicting and elucidating the etiology of fatty liver disease: A machine learning modeling and validation study in the IMI DIRECT cohorts2020 PLoS Medicine article Medicine Liver Disease Diagnosis and Treatment Open access cited by 3 patents
Naeimeh Atabaki‐Pasdar, Mattias Ohlsson, Ana Viñuela, Francesca Frau, Hugo Pomares‐Millan, Mark Haid, +57 more
96citations -
Handwork vs machine: a comparison of rheumatoid arthritis patient populations as identified from EHR free-text by diagnosis extraction through machine-learning or traditional criteria-based chart review2021 Arthritis Research & Therapy article Computer Science Machine Learning in Healthcare Open access
Tjardo Daniël Maarseveen, Marc P. Maurits, Ellis Niemantsverdriet, Annette H M van der Helm–van Mil, Tom W. J. Huizinga, Rachel Knevel
24citations -
A generalizable physiological model for detection of Delayed Cerebral Ischemia using Federated Learning2023 IEEE International Conference on Bioinformatics and Biomedicine (BIBM) conference-paper Computer Science Privacy-Preserving Technologies in Data Open access
Murad Megjhani, Daniel C. Nametz, Miriam Weiss, Jude P. J. Savarraj, Soon Bin Kwon, David Jinou Roh, +8 more
2citations -
Process evaluation of a pharmacist‐led intervention aimed at deprescribing and appropriate use of cardiometabolic medication among adult people with type 2 diabetes2023 Basic & Clinical Pharmacology & Toxicology article Medicine Pharmaceutical Practices and Patient Outcomes Open access
Gert Baas, Stijn Crutzen, Petra Denig, Katja Taxis, Mette Heringa
18citations