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An App Developed for Detecting Nurse Burnouts Using the Convolutional Neural Networks in Microsoft Excel: Population-Based Questionnaire Study

An App Developed for Detecting Nurse Burnouts Using the Convolutional Neural Networks in Microsoft Excel: Population-Based Questionnaire Study

If the CNN BO model’s parameters have been estimated by the CNN algorithm, the classification of nurse BO by responding to the MBI-HSS can alert individual nurses more accurately and warn them to alleviate their mental strain before it becomes a serious BO

Yi-Lien Lee, Willy Chou, Tsair-Wei Chien, Po-Hsin Chou, Yu-Tsen Yeh, Huan-Fang Lee

JMIR Med Inform 2020;8(5):e16528


Multi-Level Representation Learning for Chinese Medical Entity Recognition: Model Development and Validation

Multi-Level Representation Learning for Chinese Medical Entity Recognition: Model Development and Validation

., cn), BERT was formulated as follows:h1 = EToken + ESegment + EPosition (1)hl = Trm(hl–1) (2)YBERT = Softmax(wOhL + bO) (3)where h1 represents input embedding for a sequence and is made up of EToken, ESegment, and EPosition, which mean token, segment, and

Zhichang Zhang, Lin Zhu, Peilin Yu

JMIR Med Inform 2020;8(5):e17637