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

by Thomas A. Lasko, Joshua C. Denny, Mia A. Levy
Published 2013-01-01

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

by Thomas A. Lasko, Joshua C. Denny, Mia A. Levy
Published 2013-01-01

Computational phenotype discovery using unsupervised feature learning over noisy, sparse, and irregular clinical data.

by Thomas A Lasko, Joshua C Denny, Mia A Levy
Published 2013-01-01

Heart failure clinical care analysis uncovers risk reduction opportunities for preserved ejection fraction subtype

by Rebecca T. Levinson, Nataraja Sarma Vaitinidin, Eric Farber-Eger, Dan M. Roden, Thomas A. Lasko, Quinn S. Wells, Jonathan D. Mosley
Published 2021-09-01

A Decision-Theoretic Approach to Panel-Based, Preemptive Genotyping

by Yaping Shi, John A. Graves, Shawn P. Garbett, Zilu Zhou, Ramya Marathi, Xiaoming Wang, Frank E. Harrell, Thomas A. Lasko, Joshua C. Denny, Dan M. Roden, Josh F. Peterson, Jonathan S. Schildcrout
Published 2019-08-01

A Modified Random Forest Kernel for Highly Nonstationary Gaussian Process Regression with Application to Clinical Data

by VanHouten, Jacob Paul
Published 2016