The role of machine learning in clinical research: transforming the future of evidence generation

Abstract Background Interest in the application of machine learning (ML) to the design, conduct, and analysis of clinical trials has grown, but the evidence base for such applications has not been surveyed. This manuscript reviews the proceedings of a multi-stakeholder conference to discuss the curr...

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主要な著者:	E. Hope Weissler, Tristan Naumann, Tomas Andersson, Rajesh Ranganath, Olivier Elemento, Yuan Luo, Daniel F. Freitag, James Benoit, Michael C. Hughes, Faisal Khan, Paul Slater, Khader Shameer, Matthew Roe, Emmette Hutchison, Scott H. Kollins, Uli Broedl, Zhaoling Meng, Jennifer L. Wong, Lesley Curtis, Erich Huang, Marzyeh Ghassemi
フォーマット:	Artigo
言語:	Inglês
出版事項:	BMC 2021-08-01
シリーズ:	Trials
主題:	Clinical trials as topic; Machine learning Artificial intelligence Research design Research ethics
オンライン･アクセス:	https://doi.org/10.1186/s13063-021-05489-x
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