Published on in Vol 26 (2024)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/54363, first published .
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

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

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