Application of machine learning models on predicting the length of hospital stay in fragility fracture patients.
Journal Information
Full Title: BMC Med Inform Decis Mak
Abbreviation: BMC Med Inform Decis Mak
Country: Unknown
Publisher: Unknown
Language: N/A
Publication Details
Subject Category: Medical Informatics
Available in Europe PMC: Yes
Available in PMC: Yes
PDF Available: No
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"Declarations Ethics approval and consent to participateEthical approval was obtained from the ethics review board of the Joint Chinese University of Hong Kong – New Territories East Cluster Clinical Research Ethics Committee (Ref. No.: CRE2022.004). The study protocol complied with the Declaration of Helsinki.Informed consent has been obtained from all participants. Consent for publicationNot applicable. Competing interestsThe authors declare no competing interests. Competing interests The authors declare no competing interests."
"Funding No Funding. All authors did not receive any funding from the manufacturer for this study."
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Last Updated: Aug 05, 2025