Improving the Prognostic Evaluation Precision of Hospital Outcomes for Heart Failure Using Admission Notes and Clinical Tabular Data: Multimodal Deep Learning Model
Improving the Prognostic Evaluation Precision of Hospital Outcomes for Heart Failure Using Admission Notes and Clinical Tabular Data: Multimodal Deep Learning Model
Zhenyue Gao
1
* , MS ;
Xiaoli Liu
2
* , PhD ;
Yu Kang
3
, MD ;
Pan Hu
2
, MD ;
Xiu Zhang
3
, MD ;
Wei Yan
2
, MD ;
Muyang Yan
2
, MD ;
Pengming Yu
3
, MD ;
Qing Zhang
3
, MD ;
Wendong Xiao
1
, PhD ;
Zhengbo Zhang
2
, PhD
1
Beijing Engineering Research Center of Industrial Spectrum Imaging, School of Automation and Electrical Engineering, University of Science and Technology Beijing, Beijing, China
2
Center for Artificial Intelligence in Medicine, The General Hospital of People's Liberation Army, Beijing, China
3
Department of Cardiology, West China Hospital, Sichuan University, Chengdu, China
*these authors contributed equally