This paper is in the following e-collection/theme issue:

Artificial Intelligence (1602) Machine Learning (1627) Clinical Information and Decision Making (1548) Quality Improvement (267) Health Care Quality and Health Services Research (282) Cost-Effectiveness and Economics (279) E-Health Policy and Health Systems Innovation (265) Digital Health Reviews (1438)

Published on in Vol 23, No 6 (2021): June

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/26391, first published .
A Typology of Existing Machine Learning–Based Predictive Analytic Tools Focused on Reducing Costs and Improving Quality in Health Care: Systematic Search and Content Analysis

A Typology of Existing Machine Learning–Based Predictive Analytic Tools Focused on Reducing Costs and Improving Quality in Health Care: Systematic Search and Content Analysis

A Typology of Existing Machine Learning–Based Predictive Analytic Tools Focused on Reducing Costs and Improving Quality in Health Care: Systematic Search and Content Analysis

Authors of this article:

Ariadne A Nichol1 Author Orcid Image ;   Jason N Batten1 Author Orcid Image ;   Meghan C Halley1 Author Orcid Image ;   Julia K Axelrod1 Author Orcid Image ;   Pamela L Sankar2 Author Orcid Image ;   Mildred K Cho1 Author Orcid Image
Article Authors Cited by (13) Tweetations (15) Metrics
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New in JMIR: A Typology of Existing Machine Learning–Based Predictive Analytic Tools Focused on Reducing Costs and… https://t.co/CpLrzz8v9N

1:12 PM · Jun 22, 2021

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RT @jmirpub: New in JMIR: A Typology of Existing Machine Learning–Based Predictive Analytic Tools Focused on Reducing Costs and Improving Q…

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Meghan Halley Meghan Halley @Meghan_Halley

With all the buzz about #ArtificialIntelligence in #healthcare, it can be hard to know what really happening on the… https://t.co/RSCYrFGu4n

5:51 PM · Jun 22, 2021

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Nobody Nobody @askN0B0DY

RT @Meghan_Halley: With all the buzz about #ArtificialIntelligence in #healthcare, it can be hard to know what really happening on the grou…

5:52 PM · Jun 22, 2021

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Mildred Cho Mildred Cho @mildredkcho

Shout out to my colleagues Ari Nichol, Jason Batten, @Meghan_Halley, Julia Axelrod @StanfordBioethx and Pamela San… https://t.co/ck4QA4l28L

6:06 PM · Jun 22, 2021

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UPenn Medical Ethics & Health Policy UPenn Medical Ethics & Health Policy @PennMEHP

"These findings provide a foundational reference to inform the analysis of specific ethical and regulatory challeng… https://t.co/biyKCFXncE

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RT @PennMEHP: "These findings provide a foundational reference to inform the analysis of specific ethical and regulatory challenges arising…

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Jennifer E. Miller Jennifer E. Miller @millerbioethics

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6:42 PM · Jun 22, 2021

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The Greenwall Foundation The Greenwall Foundation @GreenwallFdn

RT @mildredkcho: Shout out to my colleagues Ari Nichol, Jason Batten, @Meghan_Halley, Julia Axelrod @StanfordBioethx and Pamela Sankar @Pe…

2:03 PM · Jun 23, 2021

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Nicole Martinez-Martin Nicole Martinez-Martin @girasoul

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RT @Meghan_Halley: With all the buzz about #ArtificialIntelligence in #healthcare, it can be hard to know what really happening on the grou…

1:31 AM · Jun 24, 2021

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Brian Mack Brian Mack @BFMack

RT @Meghan_Halley: With all the buzz about #ArtificialIntelligence in #healthcare, it can be hard to know what really happening on the grou…

2:15 AM · Jun 24, 2021

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Shigekazu Ishihara Shigekazu Ishihara @shigekzishihara

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2:19 AM · Jun 24, 2021

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Center for Technology and Behavioral Health Center for Technology and Behavioral Health @DartmouthCTBH

RT @Meghan_Halley: With all the buzz about #ArtificialIntelligence in #healthcare, it can be hard to know what really happening on the grou…

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4:36 PM · Jun 24, 2021

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