Jeremy C Weiss
Title
Cited by
Cited by
Year
Derivation, Validation, and Potential Treatment Implications of Novel Clinical Phenotypes for Sepsis
CW Seymour, JN Kennedy, S Wang, CCH Chang, CF Elliott, Z Xu, S Berry, ...
Journal of the American Medical Association, 2019
1742019
Machine learning for personalized medicine: predicting primary myocardial infarction from electronic health records
JC Weiss, S Natarajan, PL Peissig, CA McCarty, D Page
AI Magazine 33 (4), 33-33, 2012
492012
Forest-based point processes for event prediction from electronic health records
JC Weiss, D Page
Machine learning and knowledge discovery in databases, 547-562, 2013
382013
Comparing a single-stage geocoding method to a multi-stage geocoding method: how much and where do they disagree?
GS Lovasi, JC Weiss, R Hoskins, EA Whitsel, K Rice, CF Erickson, ...
International Journal of Health Geographics 6 (1), 12, 2007
372007
Evaluation of Machine-Learning Algorithms for Predicting Opioid Overdose Risk Among Medicare Beneficiaries With Opioid Prescriptions
PD Wei-Hsuan Lo-Ciganic, PD James L. Huang, PD Hao H. Zhang, ...
JAMA Network Open, 2019
342019
Multiplicative Forests for Continuous-Time Processes
JC Weiss, S Natarajan, D Page
Advances in Neural Information Processing Systems 25, 467-475, 2012
272012
Statistical Relational Learning to Predict Primary Myocardial Infarction from Electronic Health Records
JC Weiss, S Natarajan, PL Peissig, C McCarty, D Page
Twenty-Fourth IAAI Conference, 2012
182012
Machine Learning for Treatment Assignment: Improving Individualized Risk Attribution
JC Weiss, F Kuusisto, K Boyd, J Liu, CD Page
American Medical Informatics Association Annual Symposium, 2015
92015
Learning When to Reject an Importance Sample
JC Weiss, S Natarajan, CD Page Jr
AAAI (Late-Breaking Developments), 2013
52013
Machine Learning Assisted Discovery of Novel Predictive Lab Tests Using Electronic Health Record Data
R Kleiman, F Kuusisto, I Ross, PL Peissig, R Stewart, CD Page, J Weiss
32019
Machine learning and clinical risk: wavelet reconstruction networks for marked point processes
JC Weiss
32018
Piecewise-constant parametric approximations for survival learning
JC Weiss
Proceedings of Machine Learning Research, 2017
32017
Maps for Reasoning in Ultimate.
J Weiss, S Childers
MLSA@ PKDD/ECML, 21-27, 2013
32013
On Microvascular Complications of Diabetes Risk: Development of a Machine Learning and Electronic Health Records Risk Score
JC Weiss
22019
Clinical Risk: wavelet reconstruction networks for marked point processes
JC Weiss
22018
Statistical Timeline Analysis for Electronic Health Records
JC Weiss
The University of Wisconsin-Madison, 2014
22014
Feasibility of Sepsis Phenotyping Using Electronic Health Record Data During Initial Emergency Department Care
CW Seymour, J Kennedy, S Wang, Z Xu, CCH Chang, Q Mi, Y Vodovotz, ...
C15. CRITICAL CARE: BIG DATA AND ARTIFICIAL INTELLIGENCE IN CRITICAL ILLNESS …, 2018
12018
Learning to Reject Sequential Importance Steps for Continuous-Time Bayesian Networks
JC Weiss, S Natarajan, CD Page
Association for the Advancement of Artificial Intelligence, 2015
12015
Spatial Statistics to Evaluate Player Contribution in Ultimate
JC Weiss, S Childers
Sloan Sports Analytics Conference, 2014
12014
Using machine learning to predict risk of incident opioid use disorder among fee-for-service Medicare beneficiaries: A prognostic study
WH Lo-Ciganic, JL Huang, HH Zhang, JC Weiss, CK Kwoh, JM Donohue, ...
PloS one 15 (7), e0235981, 2020
2020
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