Machine learning in chronic obstructive pulmonary disease
Machine learning in chronic obstructive pulmonary disease
About this item
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Author / Creator
Publisher
China: Lippincott Williams & Wilkins
Journal title
Language
English
Formats
Publication information
Publisher
China: Lippincott Williams & Wilkins
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Scope and Contents
Contents
Based on the comparative results obtained from the data used for synthesizing [Supplementary Table 3, http://links.lww.com/CM9/B121] we can infer that a comprehensive and integrated scoring system has tremendous advantages over a single assessment index, since it can more conveniently guid...
Alternative Titles
Full title
Machine learning in chronic obstructive pulmonary disease
Authors, Artists and Contributors
Author / Creator
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Record Identifier
TN_cdi_doaj_primary_oai_doaj_org_article_415f048e51c04c40a38443128d81271c
Permalink
https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_doaj_primary_oai_doaj_org_article_415f048e51c04c40a38443128d81271c
Other Identifiers
ISSN
0366-6999,2542-5641
E-ISSN
2542-5641
DOI
10.1097/CM9.0000000000002247
