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Machine learning in medicine: should the pursuit of enhanced interpretability be abandoned?

Authors

  • Chang Ho Yoon Big Data Institute, Oxford University, Oxford, UKMedical Sciences Doctoral Training Centre, Oxford University, Oxford, UKNuffield Department of Population Health, University of Oxford Richard Doll Building, Oxford, UK PubMed articlesGoogle scholar articles
  • Robert Torrance Faculty of Public Health and Policy, London School of Hygiene and Tropical Medicine, London, UK PubMed articlesGoogle scholar articles
  • Naomi Scheinerman Department of Medical Ethics and Health Policy, Perelman School of Medicine at the University of Pennsylvania, Philadelphia, Pennsylvania, USA PubMed articlesGoogle scholar articles
  1. Correspondence to Dr Chang Ho Yoon, Big Data Institute, Oxford University, Oxford OX3 9DU, UK; changho.yoon{at}gmail.com
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Citation

Yoon CH, Torrance R, Scheinerman N
Machine learning in medicine: should the pursuit of enhanced interpretability be abandoned?

Publication history

  • Received November 25, 2020
  • Revised March 21, 2021
  • Accepted April 8, 2021
  • First published May 18, 2021.

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