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Samuel Weisenthal
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2020 – today
- 2023
- [i7]Samuel J. Weisenthal, Sally W. Thurston, Ashkan Ertefaie:
Inference for relative sparsity. CoRR abs/2306.14297 (2023) - [i6]Samuel J. Weisenthal:
ChatGPT and post-test probability. CoRR abs/2311.12188 (2023) - 2022
- [i5]Samuel J. Weisenthal, Sally W. Thurston
, Ashkan Ertefaie:
Relative Sparsity for Medical Decision Problems. CoRR abs/2211.16566 (2022)
2010 – 2019
- 2018
- [j3]Alexander Rosenberg, Christopher Fucile, Robert J. White
Visualizing nationwide variation in medicare Part D prescribing patterns. BMC Medical Informatics Decis. Mak. 18(1): 103:1-103:19 (2018) - [i4]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 abs/1804.11195 (2018) - [i3]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 abs/1807.09865 (2018) - [i2]Samir A. Farooq, Samuel J. Weisenthal, Melissa Trayhan, Robert J. White
Revealing HIV viral load patterns using unsupervised machine learning and cluster summarization. F1000Research 7: 1144 (2018) - 2017
- [i1]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 abs/1712.01880 (2017) - 2016
- [j2]William Kovacs
Retrieval, visualization, and mining of large radiation dosage data. Inf. Retr. J. 19(1-2): 38-58 (2016) - [j1]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): 406-419 (2016) - 2015
- [c1]Kevin Michael Boehm
Efficient Hilbert transform-based alternative to Tofts physiological models for representing MRI dynamic contrast-enhanced images in computer-aided diagnosis of prostate cancer. Computer-Aided Diagnosis 2015: 94140S
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