Literature DB >> 28781376

Does Machine Learning Automate Moral Hazard and Error?

Sendhil Mullainathan1, Ziad Obermeyer2.   

Abstract

Entities:  

Year:  2017        PMID： 28781376      PMCID： PMC5540263          DOI： 10.1257/aer.p20171084

Source DB:  PubMed          Journal:  Am Econ Rev        ISSN： 0002-8282


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  6 in total

1.  Racial differences in the treatment of early-stage lung cancer.

Authors:  P B Bach; L D Cramer; J L Warren; C B Begg
Journal:  N Engl J Med       Date:  1999-10-14       Impact factor: 91.245

Review 2.  Cognitive biases and heuristics in medical decision making: a critical review using a systematic search strategy.

Authors:  J S Blumenthal-Barby; Heather Krieger
Journal:  Med Decis Making       Date:  2014-08-21       Impact factor: 2.583

3.  Development and Validation of a Deep Learning Algorithm for Detection of Diabetic Retinopathy in Retinal Fundus Photographs.

Authors:  Varun Gulshan; Lily Peng; Marc Coram; Martin C Stumpe; Derek Wu; Arunachalam Narayanaswamy; Subhashini Venugopalan; Kasumi Widner; Tom Madams; Jorge Cuadros; Ramasamy Kim; Rajiv Raman; Philip C Nelson; Jessica L Mega; Dale R Webster
Journal:  JAMA       Date:  2016-12-13       Impact factor: 56.272

4.  Effect of availability bias and reflective reasoning on diagnostic accuracy among internal medicine residents.

Authors:  Sílvia Mamede; Tamara van Gog; Kees van den Berge; Remy M J P Rikers; Jan L C M van Saase; Coen van Guldener; Henk G Schmidt
Journal:  JAMA       Date:  2010-09-15       Impact factor: 56.272

5.  The effect of race and sex on physicians' recommendations for cardiac catheterization.

Authors:  K A Schulman; J A Berlin; W Harless; J F Kerner; S Sistrunk; B J Gersh; R Dubé; C K Taleghani; J E Burke; S Williams; J M Eisenberg; J J Escarce
Journal:  N Engl J Med       Date:  1999-02-25       Impact factor: 91.245

6.  Prediction Policy Problems.

Authors:  Jon Kleinberg; Jens Ludwig; Sendhil Mullainathan; Ziad Obermeyer
Journal:  Am Econ Rev       Date:  2015-05
  6 in total
  11 in total

1.  Lost in Thought - The Limits of the Human Mind and the Future of Medicine.

Authors:  Ziad Obermeyer; Thomas H Lee
Journal:  N Engl J Med       Date:  2017-09-28       Impact factor: 91.245

2.  Machine Learning for Integrating Data in Biology and Medicine: Principles, Practice, and Opportunities.

Authors:  Marinka Zitnik; Francis Nguyen; Bo Wang; Jure Leskovec; Anna Goldenberg; Michael M Hoffman
Journal:  Inf Fusion       Date:  2018-09-21       Impact factor: 12.975

Review 3.  Reliance on metrics is a fundamental challenge for AI.

Authors:  Rachel L Thomas; David Uminsky
Journal:  Patterns (N Y)       Date:  2022-05-13

4.  To err is machine: Considerations on the clinical impact of machine learning models in patients with unhealthy alcohol use.

Authors:  Majid Afshar
Journal:  Alcohol Clin Exp Res       Date:  2022-04-25       Impact factor: 3.928

5.  A smartphone-based survey in mHealth to investigate the introduction of the artificial intelligence into cardiology.

Authors:  Daniele Giansanti; Lisa Monoscalco
Journal:  Mhealth       Date:  2021-01-20

6.  Expert-augmented machine learning.

Authors:  Efstathios D Gennatas; Jerome H Friedman; Lyle H Ungar; Romain Pirracchio; Eric Eaton; Lara G Reichmann; Yannet Interian; José Marcio Luna; Charles B Simone; Andrew Auerbach; Elier Delgado; Mark J van der Laan; Timothy D Solberg; Gilmer Valdes
Journal:  Proc Natl Acad Sci U S A       Date:  2020-02-18       Impact factor: 11.205

7.  A bias evaluation checklist for predictive models and its pilot application for 30-day hospital readmission models.

Authors:  H Echo Wang; Matthew Landers; Roy Adams; Adarsh Subbaswamy; Hadi Kharrazi; Darrell J Gaskin; Suchi Saria
Journal:  J Am Med Inform Assoc       Date:  2022-07-12       Impact factor: 7.942

8.  Predicting acute kidney injury at hospital re-entry using high-dimensional electronic health record data.

Authors:  Samuel J Weisenthal; Caroline Quill; Samir Farooq; Henry Kautz; Martin S Zand
Journal:  PLoS One       Date:  2018-11-20       Impact factor: 3.240

9.  Intersections of machine learning and epidemiological methods for health services research.

Authors:  Sherri Rose
Journal:  Int J Epidemiol       Date:  2021-01-23       Impact factor: 7.196

10.  Analysis of PICC Based on Dysfunction Module Personalized Nursing Treatment in Chemotherapy of Advanced Esophageal Cancer.

Authors:  Qixin Zhang; Aili Qian; Weifen Chen
Journal:  J Healthc Eng       Date:  2021-07-21       Impact factor: 2.682
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