Samuel J. Weisenthal

Publication Activity (10 Years)

Years Active: 2016-2023
Publications (10 Years): 9

Top Topics

Outlier Detection

Machine Learning

Decision Problems

Top Venues

BMC Medical Informatics Decis. Mak.

J. Digit. Imaging

Publications

Samuel J. Weisenthal, Sally W. Thurston, Ashkan Ertefaie
Inference for relative sparsity. CoRR (2023)
Samuel J. Weisenthal
ChatGPT and post-test probability. CoRR (2023)
Samuel J. Weisenthal, Sally W. Thurston, Ashkan Ertefaie
Relative Sparsity for Medical Decision Problems. CoRR (2022)
Samir A. Farooq, Samuel J. Weisenthal, Melissa Trayhan, Robert J. White, Kristen Bush, Peter R. Mariuz, Martin S. Zand
Revealing patterns in HIV viral load data and classifying patients via a novel machine learning cluster summarization method. CoRR (2018)
Samir A. Farooq, Samuel J. Weisenthal, Melissa Trayhan, Robert J. White, Kristen Bush, Peter R. Mariuz, Martin S. Zand
Revealing HIV viral load patterns using unsupervised machine learning and cluster summarization. F1000Research 7 (2018)
Samuel J. Weisenthal, Caroline M. Quill, Samir A. Farooq, Henry A. Kautz, Martin S. Zand
Predicting Acute Kidney Injury at Hospital Re-entry Using High-dimensional Electronic Health Record Data. CoRR (2018)
Alexander Rosenberg, Christopher Fucile, Robert J. White, Melissa Trayhan, Samir A. Farooq, Caroline M. Quill, Lisa A. Nelson, Samuel J. Weisenthal, Kristen Bush, Martin S. Zand
Visualizing nationwide variation in medicare Part D prescribing patterns. BMC Medical Informatics Decis. Mak. 18 (1) (2018)
Samuel J. Weisenthal, Haofu Liao, Philip Ng, Martin S. Zand
Sum of previous inpatient serum creatinine measurements predicts acute kidney injury in rehospitalized patients. CoRR (2017)
Samuel J. Weisenthal, Les R. Folio, William Kovacs, Ari Seff, Vana Derderian, Ronald M. Summers, Jianhua Yao
Open-Source Radiation Exposure Extraction Engine (RE3) with Patient-Specific Outlier Detection. J. Digit. Imaging 29 (4) (2016)