Machine Learning in Emergency Medicine: Keys to Future Success.

Bibliographic Details
Published in:Academic Emergency Medicine Vol. 28; no. 2; pp. 263 - 268
Main Authors: Taylor, R. Andrew, Haimovich, Adrian D., Kline, Jeffrey A.
Format: commentary pictorial Journal Article
Published: Wiley-Blackwell Feb2021
Online Access:View this record in EBSCOhost
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      dt: Feb2021
      vid: 28
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      pub: Wiley-Blackwell
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        atl: Machine Learning in Emergency Medicine: Keys to Future Success.
      aug:
        au:
          Taylor, R. Andrew
          Haimovich, Adrian D.
          Kline, Jeffrey A.
        affil: Yale Department of Emergency Medicine, Yale School of Medicine, New Haven CT, USA
      sug:
        subj:
          Machine Learning
          Emergency Medicine
          Success
          Decision Support Systems, Clinical
          Emergency Service
          Quality of Health Care
          Algorithms
          Artificial Intelligence
          Implementation Science
      pubtype: Academic Journal
      doctype:
        commentary
        pictorial
        Journal Article
      ougenre: Article
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    language: English
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