Utilization of machine learning techniques to forecast episodes of heat-sensitive angina (HSA): findings from a multicenter observational cohort study
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By
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Jincheng Wang
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Conghui Zhou
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Yue Zhao
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Jingqing Hu
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July 21, 2026
Top Institutions in Cardiology
Brief introduction explaining scope and methodology.
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#1
clinical research centers in China
Various, China
Key Differentiators
- Cardiology
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#2
Beijing Anzhen Hospital
Beijing, China
Key Differentiators
- Cardiology
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#3
Hezhou People's Hospital
Hezhou, China
Key Differentiators
- Cardiology
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#4
Framingham Heart Study
Framingham, Massachusetts
Key Differentiators
- Cardiology
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#5
Collaboration for the Diagnosis and Evaluation of Heart Failure
Various, N/A
Key Differentiators
- Cardiology
Based on findings from:
Application of machine learning algorithms to predict heat-sensitive angina (HSA) attacks: a multicentric observational cohort study
Jincheng Wang, Conghui Zhou, Yue Zhao, Jingqing Hu. Frontiers In Digital Health, 2026.
https://www.frontiersin.org/journals/digital-health/articles/10.3389/fdgth.2026.1839307/full
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