A highly scalable deep learning language model for common risks prediction among psychiatric inpatients

A highly scalable deep learning language model for common risks prediction among psychiatric inpatients

Abstract Background There is a lack of studies exploring the performance of Transformers-based language models in common risks assessment among psychiatric inpatients. We aim to develop a scalable risk assessment model using multidimensional textualized data and test the stability, robustness, and b...

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Main Authors: Enzhao Zhu, Jiayi Wang, Guoquan Zhou, Chunbo Li, Fazhan Chen, Kang Ju, Liangliang Chen, Yichao Yin, Yi Chen, Yanping Zhang, Xu Zhang, Xinlin Zhou, Zongyuan Wang, Jianping Qiu, Hui Wang, Weizhong Shi, Feng Wang, Dong Wang, Zhihao Chen, Jiaojiao Hou, Hui Li, Zisheng Ai
Format: Article
Language:English
Published: BMC 2025-05-01
Series:BMC Medicine
Subjects:
Transformers
Deep learning
Suicide risk
Impulsivity
Physical restraint
Online Access:https://doi.org/10.1186/s12916-025-04150-7
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https://doi.org/10.1186/s12916-025-04150-7

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