Use of Deep Neural Networks to Predict Obesity With Short Audio Recordings: Development and Usability Study.

Huang, Jingyi; Guo, Peiqi; Zhang, Sheng; Ji, Mengmeng; An, Ruopeng

Huang, Jingyi; Guo, Peiqi; Zhang, Sheng; Ji, Mengmeng; An, Ruopeng.

Affiliation

Huang J; School of Economics and Management, Shanghai University of Sport, Shanghai, China.
Guo P; Brown School, Washington University in St. Louis, St. Louis, MO, United States.
Zhang S; School of Journalism and Communication, Shanghai University of Sport, Shanghai, China.
Ji M; Division of Public Health Sciences, Department of Surgery, Washington University School of Medicine in St. Louis, St. Louis, MO, United States.
An R; Brown School, Washington University in St. Louis, St. Louis, MO, United States.

JMIR AI ; 3: e54885, 2024 Jul 25.

Article in En | MEDLINE | ID: mdl-39052997

Key words

AI; DNN; ML; algorithm; algorithms; artificial intelligence; artificial neural network; artificial neural networks; deep learning; deep neural network; deep neural networks; early detection; early warning; machine learning; obese; obesity; overweight; practical model; practical models; predictive analytics; predictive model; predictive models; predictive system; vocal; vocal cord; vocal cords; voice; voice-based

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Full text: 1 Collection: 01-internacional Database: MEDLINE Language: En Journal: JMIR AI Year: 2024 Document type: Article

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Full text: 1 Collection: 01-internacional Database: MEDLINE Language: En Journal: JMIR AI Year: 2024 Document type: Article