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Applying contrastive pre-training for depression and anxiety risk prediction in type 2 diabetes patients based on heterogeneous electronic health records: a primary healthcare case study.
Feng, Wei; Wu, Honghan; Ma, Hui; Tao, Zhenhuan; Xu, Mengdie; Zhang, Xin; Lu, Shan; Wan, Cheng; Liu, Yun.
Affiliation
  • Feng W; Department of Medical Informatics, School of Biomedical Engineering and Informatics, Nanjing Medical University, Nanjing, Jiangsu, 210009, China.
  • Wu H; Institute of Health Informatics, University College London, London, WC1E 6BT, United Kingdom.
  • Ma H; The Alan Turing Institute, London, NW1 2DB, United Kingdom.
  • Tao Z; Department of Medical Psychology, Nanjing Brain Hospital affiliated with Nanjing Medical University, Nanjing, Jiangsu, 210024, China.
  • Xu M; Department of Planning, Nanjing Health Information Center, Nanjing, Jiangsu, 210003, China.
  • Zhang X; Department of Medical Informatics, School of Biomedical Engineering and Informatics, Nanjing Medical University, Nanjing, Jiangsu, 210009, China.
  • Lu S; Department of Medical Informatics, School of Biomedical Engineering and Informatics, Nanjing Medical University, Nanjing, Jiangsu, 210009, China.
  • Wan C; Department of Information, The First Affiliated Hospital, Nanjing Medical University, Nanjing, Jiangsu, 210029, China.
  • Liu Y; Department of Medical Informatics, School of Biomedical Engineering and Informatics, Nanjing Medical University, Nanjing, Jiangsu, 210009, China.
J Am Med Inform Assoc ; 31(2): 445-455, 2024 Jan 18.
Article in En | MEDLINE | ID: mdl-38062850
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Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Diabetes Mellitus, Type 2 Limits: Humans Language: En Journal: J Am Med Inform Assoc Journal subject: INFORMATICA MEDICA Year: 2024 Document type: Article Affiliation country: Country of publication:
Fulltext
Add to My VHL
Print
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PubMed Links
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Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Diabetes Mellitus, Type 2 Limits: Humans Language: En Journal: J Am Med Inform Assoc Journal subject: INFORMATICA MEDICA Year: 2024 Document type: Article Affiliation country: Country of publication: