Prediction of gestational diabetes mellitus in Asian women using machine learning algorithms.
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| Title: | Prediction of gestational diabetes mellitus in Asian women using machine learning algorithms. |
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| Authors: | Kang BS; Department of Obstetrics and Gynecology, Seoul St. Mary's Hospital, College of Medicine, The Catholic University of Korea, Seoul, Korea., Lee SU; Department of Obstetrics and Gynecology, St. Vincent's Hospital, College of Medicine, The Catholic University of Korea, Seoul, Korea., Hong S; Department of Obstetrics and Gynecology, Seoul St. Mary's Hospital, College of Medicine, The Catholic University of Korea, Seoul, Korea., Choi SK; Department of Obstetrics and Gynecology, Incheon St. Mary's Hospital, College of Medicine, The Catholic University of Korea, Seoul, Korea., Shin JE; Department of Obstetrics and Gynecology, Bucheon St. Mary's Hospital, College of Medicine, The Catholic University of Korea, Seoul, Korea., Wie JH; Department of Obstetrics and Gynecology, Eunpyeong St. Mary's Hospital, College of Medicine, The Catholic University of Korea, Seoul, Korea., Jo YS; Department of Obstetrics and Gynecology, St. Vincent's Hospital, College of Medicine, The Catholic University of Korea, Seoul, Korea., Kim YH; Department of Obstetrics and Gynecology, Uijeongbu St. Mary's Hospital,, College of Medicine, The Catholic University of Korea, Seoul, Korea., Kil K; Department of Obstetrics and Gynecology, Yeouido St. Mary's Hospital, College of Medicine, The Catholic University of Korea, Seoul, Korea., Chung YH; Department of Obstetrics and Gynecology, Daejeon St. Mary's Hospital, College of Medicine, The Catholic University of Korea, Seoul, Korea., Jung K; Innerwave Co., Ltd, Seoul, Korea., Hong H; Innerwave Co., Ltd, Seoul, Korea., Park IY; Department of Obstetrics and Gynecology, Seoul St. Mary's Hospital, College of Medicine, The Catholic University of Korea, Seoul, Korea., Ko HS; Department of Obstetrics and Gynecology, Seoul St. Mary's Hospital, College of Medicine, The Catholic University of Korea, Seoul, Korea. mongkoko@catholic.ac.kr. |
| Source: | Scientific reports [Sci Rep] 2023 Aug 16; Vol. 13 (1), pp. 13356. Date of Electronic Publication: 2023 Aug 16. |
| Publication Type: | Journal Article; Research Support, Non-U.S. Gov't |
| Journal Info: | Publisher: Nature Publishing Group Country of Publication: England NLM ID: 101563288 Publication Model: Electronic Cited Medium: Internet ISSN: 2045-2322 (Electronic) Linking ISSN: 20452322 NLM ISO Abbreviation: Sci Rep Subsets: MEDLINE |
| Database: | MEDLINE Ultimate |
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