Machine learning algorithms for diagnosis of hip bone osteoporosis: a systematic review and meta-ana...
Machine learning algorithms for diagnosis of hip bone osteoporosis: a systematic review and meta-analysis study
About this item
Full title
Author / Creator
Publisher
England: BioMed Central Ltd
Journal title
Language
English
Formats
Publication information
Publisher
England: BioMed Central Ltd
Subjects
More information
Scope and Contents
Contents
Osteoporosis is a significant health problem in the skeletal system, associated with bone tissue changes and its strength. Machine Learning (ML), on the other hand, has been accompanied by improvements in recent years and has been in the spotlight. This study is designed to investigate the Diagnostic Test Accuracy (DTA) of ML to detect osteoporosis...
Alternative Titles
Full title
Machine learning algorithms for diagnosis of hip bone osteoporosis: a systematic review and meta-analysis study
Authors, Artists and Contributors
Identifiers
Primary Identifiers
Record Identifier
TN_cdi_doaj_primary_oai_doaj_org_article_2fe407531a3c413bbc0328b426b4a52b
Permalink
https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_doaj_primary_oai_doaj_org_article_2fe407531a3c413bbc0328b426b4a52b
Other Identifiers
ISSN
1475-925X
E-ISSN
1475-925X
DOI
10.1186/s12938-023-01132-9