Machine Learning to Predict the Risk of Incident Heart Failure Hospitalization Among Patients With Diabetes: The WATCH-DM Risk Score
2019 · Diabetes Care · 280 citations
https://doi.org/10.2337/dc19-0587
M
Matthew W. Segar
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Matthew W. Segar is an academic researcher from Houston Methodist. The author has contributed to research in topics: Cardiovascular Function and Risk Factors & Heart Failure Treatment and Management & Diabetes Treatment and Management. The author has an h-index of 27, co-authored 133 publications.
ORCID: 0000-0001-6100-0897Papers by this author
worksEpigenetic Targeting of Ovarian Cancer Stem Cells
2014 · Cancer Research · 158 citations
https://doi.org/10.1158/0008-5472.can-14-1022
Machine Learning–Based Models Incorporating Social Determinants of Health vs Traditional Models for Predicting In-Hospital Mortality in Patients With Heart Failure
2022 · JAMA Cardiology · 101 citations
https://doi.org/10.1001/jamacardio.2022.1900
Spectral probabilities of top-down tandem mass spectra
2014 · BMC Genomics · 18 citations
https://doi.org/10.1186/1471-2164-15-s1-s9
Development and validation of a model to predict cardiovascular death, nonfatal myocardial infarction, or nonfatal stroke in patients with type 2 diabetes mellitus and established atherosclerotic cardiovascular disease
2022 · Cardiovascular Diabetology · 11 citations
https://doi.org/10.1186/s12933-022-01603-8
Intensive Lifestyle Intervention, Cardiac Biomarkers, and Cardiovascular Outcomes in Diabetes
2024 · Journal of the American College of Cardiology · 9 citations
https://doi.org/10.1016/j.jacc.2024.11.004
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