Literature DB >> 32687448

We Don't Need More Data, We Need the Right Data.

Rashmee U Shah1.   

Abstract

Entities:  

Keywords:  artificial intelligence; electronic health records; machine learning

Year:  2020        PMID： 32687448      PMCID： PMC7392399          DOI： 10.1161/CIRCULATIONAHA.120.045968

Source DB:  PubMed          Journal:  Circulation        ISSN： 0009-7322            Impact factor:   29.690


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  2 in total

Review 1.  Physicians and implicit bias: how doctors may unwittingly perpetuate health care disparities.

Authors:  Elizabeth N Chapman; Anna Kaatz; Molly Carnes
Journal:  J Gen Intern Med       Date:  2013-04-11       Impact factor: 5.128

2.  Impact of Different Electronic Cohort Definitions to Identify Patients With Atrial Fibrillation From the Electronic Medical Record.

Authors:  Rashmee U Shah; Rebeka Mukherjee; Yue Zhang; Aubrey E Jones; Jennifer Springer; Ian Hackett; Benjamin A Steinberg; Donald M Lloyd-Jones; Wendy W Chapman
Journal:  J Am Heart Assoc       Date:  2020-02-26       Impact factor: 5.501
  2 in total
  2 in total

Review 1.  Personalized Cell Therapy for Patients with Peripheral Arterial Diseases in the Context of Genetic Alterations: Artificial Intelligence-Based Responder and Non-Responder Prediction.

Authors:  Amankeldi A Salybekov; Markus Wolfien; Shuzo Kobayashi; Gustav Steinhoff; Takayuki Asahara
Journal:  Cells       Date:  2021-11-23       Impact factor: 6.600

2.  Information Extraction From Electronic Health Records to Predict Readmission Following Acute Myocardial Infarction: Does Natural Language Processing Using Clinical Notes Improve Prediction of Readmission?

Authors:  Jeremiah R Brown; Iben M Ricket; Ruth M Reeves; Rashmee U Shah; Christine A Goodrich; Glen Gobbel; Meagan E Stabler; Amy M Perkins; Freneka Minter; Kevin C Cox; Chad Dorn; Jason Denton; Bruce E Bray; Ramkiran Gouripeddi; John Higgins; Wendy W Chapman; Todd MacKenzie; Michael E Matheny
Journal:  J Am Heart Assoc       Date:  2022-03-24       Impact factor: 6.106
  2 in total

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