From post

Generative Adversarial Networks for Electronic Health Records: A Framework for Exploring and Evaluating Methods for Predicting Drug-Induced Laboratory Test Trajectories.

, , , и . CoRR, (2017)

Please choose a person to relate this publication to

To differ between persons with the same name, the academic degree and the title of an important publication will be displayed.

 

Другие публикации лиц с тем же именем

Evaluating risk detection methods to uncover ontogenic-mediated adverse drug effect mechanisms in children., и . BioData Min., (2021)Automated Identification of Families in Electronic Health Records to Support Clinical Research., , , , , , , , , и 3 other автор(ы). CRI, AMIA, (2017)A novel signal detection algorithm for identifying hidden drug-drug interactions in adverse event reports., , и . JAMIA, 19 (1): 79-85 (2012)Large Language Models for Granularized Barrett's Esophagus Diagnosis Classification., , , , , , , и . CoRR, (2023)Using Machine Learning to Identify Adverse Drug Effects Posing Increased Risk to Women., и . Patterns, 1 (7): 100108 (2020)Structured deep embedding model to generate composite clinical indices from electronic health records for early detection of pancreatic cancer., , , , , , и . Patterns, 4 (1): 100636 (января 2023)Procedure prediction from symbolic Electronic Health Records via time intervals analytics., , , , и . J. Biomed. Informatics, (2017)Recent Advances in Computational Drug Repositioning., , , , и . AMIA, AMIA, (2015)ChatGPT and large language models in academia: opportunities and challenges., , , , , , , , , и 1 other автор(ы). BioData Min., (января 2023)An integrative method for scoring candidate genes from association studies: application to warfarin dosing., , , , и . BMC Bioinform., 11 (S-9): S9 (2010)