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Samuel J. Weisenthal

Observed names: Samuel J Weisenthal, Samuel Weisenthal, Weisenthal, Sam, Weisenthal, Samuel J.
ORCID: 0000-0001-7921-1836
Observed ORCID: 0000-0001-7921-1836
OpenAlex ID: A5059119952
Predicting acute kidney injury at hospital re-entry using high-dimensional electronic health record data
2018 · Samuel J. Weisenthal, Caroline Quill, et al. · PLoS ONE · 15
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Predicting hospital-onset Clostridium difficile using patient mobility data: A network approach
2019 · Kristen Bush, Hugo Barbosa, et al. · Infection Control and Hospital Epidemiology · 14
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The Clinical Impact of Comedonecrosis Within Intraductal Carcinoma of the Prostate
2022 · Ying Wang, Yuki Teramoto, et al. · Archives of Pathology & Laboratory Medicine · 10
Visualizing nationwide variation in medicare Part D prescribing patterns
2018 · Alexander Rosenberg, Christopher Fucile, et al. · BMC Medical Informatics and Decision Making · 9
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Open-Source Radiation Exposure Extraction Engine (RE3) with Patient-Specific Outlier Detection
2015 · Samuel J. Weisenthal, Les Folio, et al. · Journal of Imaging Informatics in Medicine · 5
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Revealing HIV viral load patterns using unsupervised machine learning and cluster summarization
2018 · Samir A. Farooq, Samuel J. Weisenthal, et al. · F1000Research · 4
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Sum of previous inpatient serum creatinine measurements predicts acute kidney injury in rehospitalized patients
2017 · Weisenthal, Sam, Liao, Haofu, et al. · arXiv (Cornell University) · 4
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Inpatient mobility to predict hospital-onset Clostridium difficile : a network approach
2018 · Kristen Bush, Hugo Barbosa, et al. · bioRxiv (Cold Spring Harbor Laboratory) · 3
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Retrieval, visualization, and mining of large radiation dosage data
2015 · William Kovacs, Samuel Weisenthal, et al. · Information Retrieval · 3
Relative sparsity for medical decision problems
2023 · Samuel J. Weisenthal, Sally W. Thurston, et al. · Statistics in Medicine · 2
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Selection of inverse gamma and half-t priors for hierarchical models: sensitivity and recommendations
2021 · Brehm, Zachary, Wagner, Aaron, et al. · arXiv (Cornell University) · 2
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Visualizing nationwide variation in Medicare Part D prescribing patterns
2017 · Alexander Rosenberg, Christopher Fucile, et al. · 2
ChatGPT and post-test probability
2023 · Weisenthal, Samuel J. · arXiv (Cornell University) · 1
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Efficient Hilbert transform-based alternative to Tofts physiological models for representing MRI dynamic contrast-enhanced images in computer-aided diagnosis of prostate cancer
2015 · Kevin M. Boehm, Shijun Wang, et al. · Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE · 1
Open-source radiation exposure extraction engine (RE3) for dose monitoring
2015 · Samuel Weisenthal, Les Folio, et al. · Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE · 1
PM2.5 and NO2 exposure during pregnancy and measures of fetal size and attained size at birth
2025 · Nafisa Nawal Islam, Sally W. Thurston, et al. · Air Quality Atmosphere & Health
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The information mismatch, and how to fix it
2025 · Weisenthal, Samuel J., Chowdhry, Amit K. · arXiv (Cornell University)
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Optimality-based reward learning with applications to toxicology
2024 · Weisenthal, Samuel J., Eckard, Matthew, et al. · arXiv (Cornell University)
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Inference for relative sparsity
2023 · Weisenthal, Samuel J., Thurston, Sally W., et al. · arXiv (Cornell University)
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Peer Review Report For: Revealing HIV viral load patterns using unsupervised machine learning and cluster summarization [version 1; peer review: 1 approved, 1 approved with reservations]
2018 · Samir A. Farooq, Samuel J. Weisenthal, et al.
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Peer Review Report For: Revealing HIV viral load patterns using unsupervised machine learning and cluster summarization [version 1; peer review: 1 approved, 1 approved with reservations]
2018 · Samir A. Farooq, Samuel J. Weisenthal, et al.
Revealing patterns in HIV viral load data and classifying patients via a novel machine learning cluster summarization method
2018 · Farooq, Samir, Weisenthal, Samuel J., et al. · arXiv (Cornell University)
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Additional file 6 of Visualizing nationwide variation in medicare Part D prescribing patterns
2018 · Rosenberg, Alexander, Fucile, Christopher, et al. · Figshare
Visualizing nationwide variation in Medicare Part D prescribing patterns
2017 · Alexander Rosenberg, Christopher Fucile, et al.
2416
2017 · Samuel Weisenthal, Samuel J. Weisenthal, et al. · Journal of Clinical and Translational Science
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Works count: 26
Citation count: 76
H-index: 5
I10-index: 3
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