Scientific Sessions 2024  /  Improving Health Equity in Clinical Algorithms  /  Machine Learning-based Models with Social Determinants of Health to Improve Incident Atrial Fibrillation Prediction
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American Heart Association

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Final ID:

Machine Learning-based Models with Social Determinants of Health to Improve Incident Atrial Fibrillation Prediction

  • Segar, Matthew  ( Texas Heart Institute , Houston , Texas , United States )
  • Pandey, Ambarish  ( University of Texas Southwestern Medical Center , Dallas , Texas , United States )
    • Author Disclosures:
    Matthew Segar: DO have relevant financial relationships ; Executive Role:descendantsDNA:Active (exists now) ; Executive Role:ReCODE Medical:Active (exists now) | Ambarish Pandey: DO have relevant financial relationships ; Consultant:Tricog:Active (exists now) ; Consultant:Lilly:Active (exists now) ; Consultant:Edwards Lifesciences:Active (exists now) ; Consultant:Semler:Active (exists now) ; Consultant:Science37:Active (exists now) ; Research Funding (PI or named investigator):SCPharma:Active (exists now) ; Advisor:Medtronic:Active (exists now) ; Advisor:Axon:Active (exists now) ; Advisor:Bayer:Active (exists now) ; Research Funding (PI or named investigator):Ultromics:Active (exists now) ; Consultant:Novo Nordisk:Active (exists now) ; Consultant:Roche:Active (exists now)
Meeting Info:

Scientific Sessions 2024

2024

Chicago, Illinois

Session Info:

Improving Health Equity in Clinical Algorithms

Monday, 11/18/2024 , 09:45AM - 11:00AM

Cardiovascular Seminar

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Effectiveness of EHR Interventions to Identify and Mitigate Cardiac Risk

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Association of fixed dose combination therapy use with blood pressure control and cardiovascular outcomes in the Systolic Blood Pressure Reduction Intervention (SPRINT) Trial: A post-hoc analysis

Rao Shreya, Pandey Ambarish, Segar Matthew, Agarwal Anubha, Keshvani Neil, Vongpatanasin Wanpen, Hsue Priscilla, Huffman Mark, Wang Thomas, Prabhakaran Dorairaj

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