Artificial intelligence used to diagnose osteoporosis from risk factors in clinical data and proposing sports protocols
Crossref DOI link: https://doi.org/10.1038/s41598-022-23184-y
Published Online: 2022-10-31
Update policy: https://doi.org/10.1007/springer_crossmark_policy
Fasihi, Leila
Tartibian, Bakhtyar
Eslami, Rasoul
Fasihi, Hossein
Text and Data Mining valid from 2022-10-31
Version of Record valid from 2022-10-31
Article History
Received: 29 March 2022
Accepted: 26 October 2022
First Online: 31 October 2022
Competing interests
: The authors declare no competing interests.