Use of the FHTHWA Index as a Novel Approach for Predicting the Incidence of Diabetes in a Japanese Population Without Diabetes: Data Analysis Study.
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| Title: | Use of the FHTHWA Index as a Novel Approach for Predicting the Incidence of Diabetes in a Japanese Population Without Diabetes: Data Analysis Study. |
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| Authors: | Wang J; Department of Endocrinology and Metabolism, The First Affiliated Hospital, Jiangxi Medical College, Nanchang University, Nanchang, China.; Jiangxi Clinical Research Center for Endocrine and Metabolic Disease, Nanchang, China.; Jiangxi Branch of National Clinical Research Center for Metabolic Disease, Nanchang, China., Chen J; Department of Endocrinology and Metabolism, The First Affiliated Hospital, Jiangxi Medical College, Nanchang University, Nanchang, China.; Jiangxi Clinical Research Center for Endocrine and Metabolic Disease, Nanchang, China.; Jiangxi Branch of National Clinical Research Center for Metabolic Disease, Nanchang, China., Liu Y; Department of Endocrinology and Metabolism, The First Affiliated Hospital, Jiangxi Medical College, Nanchang University, Nanchang, China.; Jiangxi Clinical Research Center for Endocrine and Metabolic Disease, Nanchang, China.; Jiangxi Branch of National Clinical Research Center for Metabolic Disease, Nanchang, China., Xu J; Department of Endocrinology and Metabolism, The First Affiliated Hospital, Jiangxi Medical College, Nanchang University, Nanchang, China.; Jiangxi Clinical Research Center for Endocrine and Metabolic Disease, Nanchang, China.; Jiangxi Branch of National Clinical Research Center for Metabolic Disease, Nanchang, China. |
| Source: | JMIR medical informatics [JMIR Med Inform] 2025 Jan 28; Vol. 13, pp. e64992. Date of Electronic Publication: 2025 Jan 28. |
| Publication Type: | Journal Article |
| Journal Info: | Publisher: JMIR Publications Country of Publication: Canada NLM ID: 101645109 Publication Model: Electronic Cited Medium: Internet ISSN: 2291-9694 (Electronic) Linking ISSN: 22919694 NLM ISO Abbreviation: JMIR Med Inform Subsets: MEDLINE |
| Database: | MEDLINE Ultimate |
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| ISSN: | 2291-9694 |
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| DOI: | 10.2196/64992 |