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Implementing machine learning in medicine

Canadian Medical Association journal (CMAJ), 2021-08, Vol.193 (34), p.E1351-E1357 [Peer Reviewed Journal]

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Title:
Implementing machine learning in medicine
Author: Verma, Amol A ; Murray, Joshua ; Greiner, Russell ; Cohen, Joseph Paul ; Shojania, Kaveh G ; Ghassemi, Marzyeh ; Straus, Sharon E ; Pou-Prom, Chloe ; Mamdani, Muhammad
Subjects: Analysis ; Automation ; Decision making ; Evidence-based medicine ; Humans ; Internal medicine ; Literature reviews ; Machine Learning ; Medical informatics ; Medicine ; Methods ; Mortality ; Multidisciplinary teams ; Patients ; Regulatory approval
Is Part Of: Canadian Medical Association journal (CMAJ), 2021-08, Vol.193 (34), p.E1351-E1357
Description: Machine learning-the process of developing systems that learn from data to recognize patterns and make accurate predictions of future events-has considerable potential to transform health care. Machine-learned tools could support complex clinical decision-making and could automate many of the mundane tasks that may waste clinician time and lead to work dissatisfaction. Here, Verma et al discuss how to develop machine-learned solutions for clinical use.
Publisher: Canada: CMA Joule Inc
Language: English
Identifier: ISSN: 0820-3946
EISSN: 1488-2329
DOI: 10.1503/cmaj.202434
PMID: 35213323
Source: ProQuest One Psychology
Open Access: DOAJ Directory of Open Access Journals
Open Access: PubMed Central
Geneva Foundation Free Medical Journals at publisher websites
AUTh Library subscriptions: ProQuest Central
MEDLINE
Alma/SFX Local Collection

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