HIGHLIGHTS
- who: Changsop Yang and Jae-Dong Lee from the Aesop Technology, Taiwan National University of have published the article: Deep autoencoder-powered pattern identification of sleep disturbance using multi-site cross-sectional survey data, in the Journal: (JOURNAL) of August/16,/2021
- what: When compiling the model, RMSE and Adam were applied as the loss function and training optimizer, respectively. In clinical practice, TEAM doctors` questions to patients are closer to each item of the questionnaire, and conversely, calculating each questionnaire`s scores one by one is closer to the purpose of the clinical study . . .
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