Literature DB >> 33040334

Discussion on "Approval policies for modifications to machine learning-based software as a medical device: A study of biocreep" by Jean Feng, Scott Emerson, and Noah Simon.

Sherri Rose1.   

Abstract

Entities:  

Mesh：

Year:  2020        PMID： 33040334      PMCID： PMC8386180          DOI： 10.1111/biom.13378

Source DB:  PubMed          Journal:  Biometrics        ISSN： 0006-341X            Impact factor:   2.571


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  7 in total

1.  Machine Learning for Prediction in Electronic Health Data.

Authors:  Sherri Rose
Journal:  JAMA Netw Open       Date:  2018-08-03

2.  Teaching yourself about structural racism will improve your machine learning.

Authors:  Whitney R Robinson; Audrey Renson; Ashley I Naimi
Journal:  Biostatistics       Date:  2020-04-01       Impact factor: 5.899

3.  Hidden in Plain Sight - Reconsidering the Use of Race Correction in Clinical Algorithms.

Authors:  Darshali A Vyas; Leo G Eisenstein; David S Jones
Journal:  N Engl J Med       Date:  2020-06-17       Impact factor: 91.245

4.  What This Computer Needs Is a Physician: Humanism and Artificial Intelligence.

Authors:  Abraham Verghese; Nigam H Shah; Robert A Harrington
Journal:  JAMA       Date:  2018-01-02       Impact factor: 56.272

5.  Assessing the performance of prediction models: a framework for traditional and novel measures.

Authors:  Ewout W Steyerberg; Andrew J Vickers; Nancy R Cook; Thomas Gerds; Mithat Gonen; Nancy Obuchowski; Michael J Pencina; Michael W Kattan
Journal:  Epidemiology       Date:  2010-01       Impact factor: 4.822

6.  Approval policies for modifications to machine learning-based software as a medical device: A study of bio-creep.

Authors:  Jean Feng; Scott Emerson; Noah Simon
Journal:  Biometrics       Date:  2020-10-11       Impact factor: 2.571

7.  Fair regression for health care spending.

Authors:  Anna Zink; Sherri Rose
Journal:  Biometrics       Date:  2020-01-06       Impact factor: 2.571
  7 in total

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