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NEJM Interview: Andrew Lea on how experience with a 1970s computerized diagnostic program can inform efforts to implement machine-learning prediction models in medicine.

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Manage episode 397446761 series 67017
Indhold leveret af NEJM Group. Alt podcastindhold inklusive episoder, grafik og podcastbeskrivelser uploades og leveres direkte af NEJM Group eller deres podcastplatformspartner. Hvis du mener, at nogen bruger dit ophavsretligt beskyttede værk uden din tilladelse, kan du følge processen beskrevet her https://da.player.fm/legal.
Andrew Lea is a resident physician in internal medicine at Brigham and Women’s Hospital and a clinical fellow at Harvard Medical School. Stephen Morrissey, the interviewer, is the Executive Managing Editor of the Journal. A.S. Lea and D.S. Jones. Mind the Gap — Machine Learning, Dataset Shift, and History in the Age of Clinical Algorithms. N Engl J Med 2024;390:293-295.
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805 episoder

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Manage episode 397446761 series 67017
Indhold leveret af NEJM Group. Alt podcastindhold inklusive episoder, grafik og podcastbeskrivelser uploades og leveres direkte af NEJM Group eller deres podcastplatformspartner. Hvis du mener, at nogen bruger dit ophavsretligt beskyttede værk uden din tilladelse, kan du følge processen beskrevet her https://da.player.fm/legal.
Andrew Lea is a resident physician in internal medicine at Brigham and Women’s Hospital and a clinical fellow at Harvard Medical School. Stephen Morrissey, the interviewer, is the Executive Managing Editor of the Journal. A.S. Lea and D.S. Jones. Mind the Gap — Machine Learning, Dataset Shift, and History in the Age of Clinical Algorithms. N Engl J Med 2024;390:293-295.
  continue reading

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