Search Results - Zinzuwadia, Aniket N

  • Showing 1 - 7 results of 7
Refine Results
  1. 1
    Validation of a Deep Learning-Based Model to Predict Lung Cancer Risk Using Chest Radiographs and Electronic Medical Record Data

    Validation of a Deep Learning-Based Model to Predict Lung Cancer Risk Using Chest Radiographs and Electronic Medical Record Data by Raghu, Vineet K, Walia, Anika S, Zinzuwadia, Aniket N, Goiffon, Reece J, Shepard, Jo-Anne O, Aerts, Hugo J W L, Lennes, Inga T, Lu, Michael T

    Published in JAMA network open
    Get full text
    Items that this one cites
    Items that cite this one
    Article
    Save to List
    Saved in:
  2. 2
    CROSS-SECTIONAL SURVEY OF THE IMPACT OF CARDIAC DIAGNOSTICS ON RISK ADJUSTMENT AND CMS REIMBURSEMENT

    CROSS-SECTIONAL SURVEY OF THE IMPACT OF CARDIAC DIAGNOSTICS ON RISK ADJUSTMENT AND CMS REIMBURSEMENT by Zinzuwadia, Aniket N., Nayar, Nandini, Goldberg, Jana M., Wessler, Jeffrey

    Get full text
    Article
    Save to List
    Saved in:
  3. 3
    DEEP LEARNING TO PREDICT POST-TAVR MORTALITY FROM CHEST RADIOGRAPHS

    DEEP LEARNING TO PREDICT POST-TAVR MORTALITY FROM CHEST RADIOGRAPHS by Zinzuwadia, Aniket N., Raghu, Vineet, Foldyna, Borek, Lu, Michael T.

    Get full text
    Items that cite this one
    Article
    Save to List
    Saved in:
  4. 4
    Abstract P021: Performance Of Pooled Cohort Equations And MESA Risk Score Across Race/Ethnicity And Socioeconomic Status To Estimate 10-year Cardiovascular Risk In Diverse New England Cohort

    Abstract P021: Performance Of Pooled Cohort Equations And MESA Risk Score Across Race/Ethnicity And Socioeconomic Status To Estimate 10-year Cardiovascular Risk In Diverse New Engl... by Zinzuwadia, Aniket N, Li, Chunying, Dashti, Hesam, Chen, Lin, Cade, Brian, Karlson, Elizabeth, Paynter, Nina, Mora, Samia, Demler, Olga

    Get full text
    Items that cite this one
    Article
    Save to List
    Saved in:
  5. 5
    COMBINING MULTIPLE CARDIOVASCULAR RISK PREDICTION MODELS IMPROVES MODEL PERFORMANCE: A NOVEL FLEXIBLE FRAMEWORK APPROACH APPLIED TO A CONTEMPORARY AND DIVERSE EHR COHORT

    COMBINING MULTIPLE CARDIOVASCULAR RISK PREDICTION MODELS IMPROVES MODEL PERFORMANCE: A NOVEL FLEXIBLE FRAMEWORK APPROACH APPLIED TO A CONTEMPORARY AND DIVERSE EHR COHORT by Zinzuwadia, Aniket N., Li, Chunying, Dashti, Hesam, Chen, Lin, Cade, Brian, Karlson, Elizabeth, Mora, Samia, Paynter, Nina, Demler, Olga

    Get full text
    Article
    Save to List
    Saved in:
  6. 6
    REDUCING READMISSION THROUGH A POST-DISCHARGE VIRTUAL CARDIOLOGY PROGRAM: A RANDOMIZED STUDY

    REDUCING READMISSION THROUGH A POST-DISCHARGE VIRTUAL CARDIOLOGY PROGRAM: A RANDOMIZED STUDY by Zinzuwadia, Aniket N., Goldberg, Jana M., Mandrayar, Lindsey, Pratt, Stacey, Jain, Nayan, Littleton, Sarah, Levine, Hillari, Prescott, Keisha, Doshi, Athena, Nayar, Nandini, Truong, Hannah P., Wessler, Jeffrey

    Get full text
    Article
    Save to List
    Saved in:
  7. 7
    Abstract P341: A Flexible, Interpretable Approach to Recalibrate Risk Prediction Models: Adapting the Pooled Cohorts Equation to a Local New England Contemporary Population

    Abstract P341: A Flexible, Interpretable Approach to Recalibrate Risk Prediction Models: Adapting the Pooled Cohorts Equation to a Local New England Contemporary Population by Zinzuwadia, Aniket N, Mineeva, Olga, Li, Chunying, Chen, Lin, Cade, Brian, Karlson, Elizabeth, Farukhi, Zareen, Paynter, Nina, Mora, Samia, Demler, Olga

    Get full text
    Article
    Save to List
    Saved in:

Search Tools: