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An Innovative Artificial Intelligence-Based App for the Diagnosis of Gestational Diabetes Mellitus (GDM-AI): Development Study.
Shen, Jiayi; Chen, Jiebin; Zheng, Zequan; Zheng, Jiabin; Liu, Zherui; Song, Jian; Wong, Sum Yi; Wang, Xiaoling; Huang, Mengqi; Fang, Po-Han; Jiang, Bangsheng; Tsang, Winghei; He, Zonglin; Liu, Taoran; Akinwunmi, Babatunde; Wang, Chi Chiu; Zhang, Casper J P; Huang, Jian; Ming, Wai-Kit.
Affiliation
  • Shen J; Department of Public Health and Preventive Medicine, School of Medicine, Jinan University, Guangzhou, China.
  • Chen J; Sun Yat-sen University Cancer Center, Guangzhou, China.
  • Zheng Z; College of Information Science and Technology, Jinan University, Guangzhou, China.
  • Zheng J; International School, Jinan University, Guangzhou, China.
  • Liu Z; International School, Jinan University, Guangzhou, China.
  • Song J; College of Information Science and Technology, Jinan University, Guangzhou, China.
  • Wong SY; School of International Studies, Sun Yat-sen University, Guangzhou, China.
  • Wang X; International School, Jinan University, Guangzhou, China.
  • Huang M; School of Journalism and Communication, Jinan University, Guangzhou, China.
  • Fang PH; School of Journalism and Communication, Jinan University, Guangzhou, China.
  • Jiang B; International School, Jinan University, Guangzhou, China.
  • Tsang W; International School, Jinan University, Guangzhou, China.
  • He Z; Department of Public Health and Preventive Medicine, School of Medicine, Jinan University, Guangzhou, China.
  • Liu T; International School, Jinan University, Guangzhou, China.
  • Akinwunmi B; Faculty of Economics and Business, University of Groningen, Groningen, Netherlands.
  • Wang CC; Department of Obstetrics and Gynecology, Brigham and Women's Hospital, Boston, MA, United States.
  • Zhang CJP; Center for Genomic Medicine, Massachusetts General Hospital, Harvard Medical School, Harvard University, Boston, MA, United States.
  • Huang J; Department of Obstetrics & Gynaecology, The Chinese University of Hong Kong, Hong Kong, Hong Kong.
  • Ming WK; School of Public Health, The University of Hong Kong, Hong Kong, Hong Kong.
J Med Internet Res ; 22(9): e21573, 2020 09 15.
Article de En | MEDLINE | ID: mdl-32930674
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Texte intégral: 1 Collection: 01-internacional Base de données: MEDLINE Sujet principal: Intelligence artificielle / Diabète gestationnel / Applications mobiles Type d'étude: Diagnostic_studies / Observational_studies / Prognostic_studies / Risk_factors_studies Limites: Adult / Female / Humans / Pregnancy Langue: En Journal: J Med Internet Res Sujet du journal: INFORMATICA MEDICA Année: 2020 Type de document: Article Pays d'affiliation: Chine Pays de publication: Canada
Texte intégral
Ajouter à My VHL
Imprimer
XML
PubMed Links
Recherche sur Google

Texte intégral: 1 Collection: 01-internacional Base de données: MEDLINE Sujet principal: Intelligence artificielle / Diabète gestationnel / Applications mobiles Type d'étude: Diagnostic_studies / Observational_studies / Prognostic_studies / Risk_factors_studies Limites: Adult / Female / Humans / Pregnancy Langue: En Journal: J Med Internet Res Sujet du journal: INFORMATICA MEDICA Année: 2020 Type de document: Article Pays d'affiliation: Chine Pays de publication: Canada