Jeremy C Weiss
Jeremy C Weiss
Investigator, National Library of Medicine, National Institutes of Health
Bestätigte E-Mail-Adresse bei - Startseite
Zitiert von
Zitiert von
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
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
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
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
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), 1-11, 2007
Multiplicative Forests for Continuous-Time Processes
JC Weiss, S Natarajan, D Page
Advances in Neural Information Processing Systems 25, 467-475, 2012
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
An Open Repository of Real-Time COVID-19 Indicators
A Reinhart, L Brooks, M Jahja, A Rumack, J Tang, W Al Saeed, T Arnold, ...
Proceedings of the National Academy of Sciences 118 (51), 2021
Farf: A fair and adaptive random forests classifier
W Zhang, A Bifet, X Zhang, JC Weiss, W Nejdl
Advances in Knowledge Discovery and Data Mining: 25th Pacific-Asia …, 2021
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
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
Longitudinal fairness with censorship
W Zhang, JC Weiss
Proceedings of the AAAI Conference on Artificial Intelligence 36 (11), 12235 …, 2022
Fair decision-making under uncertainty
W Zhang, JC Weiss
2021 IEEE International Conference on Data Mining (ICDM), 886-895, 2021
Fairness amidst non-iid graph data: A literature review
W Zhang, JC Weiss, S Zhou, T Walsh
arXiv preprint arXiv:2202.07170, 2022
Developing and validating a machine-learning algorithm to predict opioid overdose in Medicaid beneficiaries in two US states: a prognostic modelling study
WH Lo-Ciganic, JM Donohue, Q Yang, JL Huang, CY Chang, JC Weiss, ...
The Lancet Digital Health 4 (6), e455-e465, 2022
Machine‐learning algorithms for predicting hospital re‐admissions in sickle cell disease
A Patel, K Gan, AA Li, J Weiss, M Nouraie, S Tayur, EM Novelli
British Journal of Haematology 192 (1), 158-170, 2021
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
Harmonic-Mean Cox Models: A Ruler for Equal Attention to Risk
X Wang, W Zhang, A Jadhav, W Jeremy C
AAAI Symposium on Survival Prediction: Algorithms, Challenges, and Applications, 2021
Piecewise-constant parametric approximations for survival learning
JC Weiss
Proceedings of Machine Learning Research, 2017
Learning When to Reject an Importance Sample
JC Weiss, S Natarajan, CD Page Jr
AAAI (Late-Breaking Developments), 2013
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