Artificial Intelligence in Diabetes Care and Prevention

Articles published in 2021 in this theme: 5 (scroll down to load remaining articles)

2021

View image

Patient-Generated Data Analytics of Health Behaviors of People Living With Type 2 Diabetes: Scoping Review

Meghan S Nagpal, Antonia Barbaric, Diana Sherifali, Plinio P Morita, Joseph A Cafazzo

JMIR Diabetes 2021 (Dec 20); 6(4):e29027

Download Citation: END BibTex RIS

Share on Bluesky Share on Twitter Share on Facebook Share on LinkedIn

View abstract

Download PDF Download XML

Go back to the top of the page Skip and go to footer section

View image

Using a Convolutional Neural Network to Predict Remission of Diabetes After Gastric Bypass Surgery: Machine Learning Study From the Scandinavian Obesity Surgery Register

Yang Cao, Ingmar Näslund, Erik Näslund, Johan Ottosson, Scott Montgomery, Erik Stenberg

JMIR Med Inform 2021 (Aug 19); 9(8):e25612

Download Citation: END BibTex RIS

Share on Bluesky Share on Twitter Share on Facebook Share on LinkedIn

View abstract

Download PDF Download XML

Go back to the top of the page Skip and go to footer section

View image

Improving Current Glycated Hemoglobin Prediction in Adults: Use of Machine Learning Algorithms With Electronic Health Records

Zakhriya Alhassan, Matthew Watson, David Budgen, Riyad Alshammari, Ali Alessa, Noura Al Moubayed

JMIR Med Inform 2021 (May 24); 9(5):e25237

Download Citation: END BibTex RIS

Share on Bluesky Share on Twitter Share on Facebook Share on LinkedIn

View abstract

Download PDF Download XML

Go back to the top of the page Skip and go to footer section

View image

Using Wearable Activity Trackers to Predict Type 2 Diabetes: Machine Learning–Based Cross-sectional Study of the UK Biobank Accelerometer Cohort

Benjamin Lam, Michael Catt, Sophie Cassidy, Jaume Bacardit, Philip Darke, Sam Butterfield, Ossama Alshabrawy, Michael Trenell, Paolo Missier

JMIR Diabetes 2021 (Mar 19); 6(1):e23364

Download Citation: END BibTex RIS

Share on Bluesky Share on Twitter Share on Facebook Share on LinkedIn

View abstract

Download PDF Download XML

Go back to the top of the page Skip and go to footer section

View image

Machine Learning Approach to Decision Making for Insulin Initiation in Japanese Patients With Type 2 Diabetes (JDDM 58): Model Development and Validation Study

Kazuya Fujihara, Yasuhiro Matsubayashi, Mayuko Harada Yamada, Masahiko Yamamoto, Toshihiro Iizuka, Kosuke Miyamura, Yoshinori Hasegawa, Hiroshi Maegawa, Satoru Kodama, Tatsuya Yamazaki, Hirohito Sone

JMIR Med Inform 2021 (Jan 27); 9(1):e22148

Download Citation: END BibTex RIS

Share on Bluesky Share on Twitter Share on Facebook Share on LinkedIn

View abstract

Download PDF Download XML

Go back to the top of the page Skip and go to footer section