Search Results - "Tiwari, Premanand"

  • Showing 1 - 7 results of 7
Refine Results
  1. 1

    Prediction of incident myocardial infarction using machine learning applied to harmonized electronic health record data by Mandair, Divneet, Tiwari, Premanand, Simon, Steven, Colborn, Kathryn L, Rosenberg, Michael A

    “…With cardiovascular disease increasing, substantial research has focused on the development of prediction tools. We compare deep learning and machine learning…”
    Get full text
    Journal Article
  2. 2

    A machine learning evaluation of patient characteristics associated with prescribing of guideline-directed medical therapy for heart failure by Kim, Rachel, Suresh, Krithika, Rosenberg, Michael A, Tan, Malinda S, Malone, Daniel C, Allen, Larry A, Kao, David P, Anderson, Heather D, Tiwari, Premanand, Trinkley, Katy E

    Published in Frontiers in cardiovascular medicine (21-06-2023)
    “…Patients with heart failure and reduced ejection fraction (HFrEF) are consistently underprescribed guideline-directed medications. Although many barriers to…”
    Get full text
    Journal Article
  3. 3
  4. 4

    Prediction of Drug-Induced Long QT Syndrome Using Machine Learning Applied to Harmonized Electronic Health Record Data by Simon, Steven T, Mandair, Divneet, Tiwari, Premanand, Rosenberg, Michael A

    “…Drug-induced QT prolongation is a potentially preventable cause of morbidity and mortality, however there are no widespread clinical tools utilized to predict…”
    Get more information
    Journal Article
  5. 5

    Assessment of a Machine Learning Model Applied to Harmonized Electronic Health Record Data for the Prediction of Incident Atrial Fibrillation by Tiwari, Premanand, Colborn, Kathryn L, Smith, Derek E, Xing, Fuyong, Ghosh, Debashis, Rosenberg, Michael A

    Published in JAMA network open (03-01-2020)
    “…Atrial fibrillation (AF) is the most common sustained cardiac arrhythmia, and its early detection could lead to significant improvements in outcomes through…”
    Get full text
    Journal Article
  6. 6
  7. 7

    Abstract 13948: Machine Learning Using Electronic Health Records to Predict 6-Month Incident Atrial Fibrillation by Tiwari, Premanand, Colborn, Kathryn L, Smith, Derek E, Xing, Fuyong, Ghosh, Debashis, Rosenberg, Michael A

    Published in Circulation (New York, N.Y.) (19-11-2019)
    “…IntroductionEarly detection of atrial fibrillation (AF) has potential to significantly reduce stroke risk via initiation of anticoagulation. Although the best…”
    Get full text
    Journal Article