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For: Nematollahi MA, Askarinejad A, Asadollahi A, Bazrafshan M, Sarejloo S, Moghadami M, Sasannia S, Farjam M, Homayounfar R, Pezeshki B, Amini M, Roshanzamir M, Alizadehsani R, Bazrafshan H, Bazrafshan drissi H, Tan RS, Acharya UR, Islam MSS. A cohort study on the predictive capability of body composition for diabetes mellitus using machine learning. J Diabetes Metab Disord 2024;23:773-781. [PMID: 38932891 PMCID: PMC11196543 DOI: 10.1007/s40200-023-01350-x] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/29/2023] [Accepted: 11/08/2023] [Indexed: 06/28/2024]
Number Cited by Other Article(s)
1
Yazdanpanah MH. Letter regarding the article "a cohort study on the predictive capability of body composition for diabetes mellitus using machine learning". J Diabetes Metab Disord 2024;23:1425. [PMID: 38932885 PMCID: PMC11196438 DOI: 10.1007/s40200-023-01372-5] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 12/04/2023] [Accepted: 12/09/2023] [Indexed: 06/28/2024]
2
Hou J, Nesaragi N, Tronstad C. Electrical bioimpedance in the era of artificial intelligence. JOURNAL OF ELECTRICAL BIOIMPEDANCE 2024;15:1-3. [PMID: 38304720 PMCID: PMC10830329 DOI: 10.2478/joeb-2024-0001] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Subscribe] [Scholar Register] [Received: 01/23/2024] [Indexed: 02/03/2024]
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