Thomas A. Lasko

Computational Phenotype Discovery Using Unsupervised Feature Learning over Noisy, Sparse, and Irregular Clinical Data

Thomas A. Lasko, Joshua C. Denny, Mia Levy · PLoS ONE · 2013 · 316 citations · Full text

Calibration drift in regression and machine learning models for acute kidney injury

Sharon E. Davis, Thomas A. Lasko, Guanhua Chen et al. · Journal of the American Medical Informatics Association · 2017 · 271 citations · Full text

Portability of an algorithm to identify rheumatoid arthritis in electronic health records

Robert J. Carroll, Will K Thompson, Anne E. Eyler et al. · Journal of the American Medical Informatics Association · 2012 · 240 citations · Full text

A study of active learning methods for named entity recognition in clinical text

Yukun Chen, Thomas A. Lasko, Qiaozhu Mei et al. · Journal of Biomedical Informatics · 2015 · 153 citations

Natural Language Processing, Active Learning Methods, Clinical Text +15

Detection of calibration drift in clinical prediction models to inform model updating

Sharon E. Davis, Robert A. Greevy, Thomas A. Lasko et al. · Journal of Biomedical Informatics · 2020 · 116 citations · Full text