Artificial Intelligence in Diabetes Care and Prevention

Detecting Miscoded Diabetes Diagnosis Codes in Electronic Health Records for Quality Improvement: Temporal Deep Learning Approach

Sina Rashidian, Kayley Abell-Hart, Janos Hajagos, Richard Moffitt, Veena Lingam, Victor Garcia, Chao-Wei Tsai, Fusheng Wang, Xinyu Dong, Siao Sun, Jianyuan Deng, Rajarsi Gupta, Joshua Miller, Joel Saltz, Mary Saltz

JMIR Med Inform 2020 (Dec 17); 8(12):e22649

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Predicting the Development of Type 2 Diabetes in a Large Australian Cohort Using Machine-Learning Techniques: Longitudinal Survey Study

Lei Zhang, Xianwen Shang, Subhashaan Sreedharan, Xixi Yan, Jianbin Liu, Stuart Keel, Jinrong Wu, Wei Peng, Mingguang He

JMIR Med Inform 2020 (Jul 28); 8(7):e16850

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Improving Accuracy for Diabetes Mellitus Prediction by Using Deepnet

Riyad Alshammari, Noorah Atiyah, Tahani Daghistani, Abdulwahhab Alshammari

Online J Public Health Inform 2020 (Jul 24); 12(1):e62610

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Artificial Intelligence and Big Data in Diabetes Care: A Position Statement of the Italian Association of Medical Diabetologists

Nicoletta Musacchio, Annalisa Giancaterini, Giacomo Guaita, Alessandro Ozzello, Maria A Pellegrini, Paola Ponzani, Giuseppina T Russo, Rita Zilich, Alberto de Micheli

J Med Internet Res 2020 (Jun 22); 22(6):e16922

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