Improving the Prognostic Evaluation Precision of Hospital Outcomes for Heart Failure Using Admission Notes and Clinical Tabular Data: Multimodal Deep Learning Model

• Main Authors: Zhenyue Gao (Author), Xiaoli Liu (Author), Yu Kang (Author), Pan Hu (Author), Xiu Zhang (Author), Wei Yan (Author), Muyang Yan (Author), Pengming Yu (Author), Qing Zhang (Author), Wendong Xiao (Author), Zhengbo Zhang (Author)
• Format: Book
• Published: JMIR Publications, 2024-05-01T00:00:00Z.
• Subjects: article
• Online Access: Connect to this object online.

BackgroundClinical notes contain contextualized information beyond structured data related to patients' past and current health status. ObjectiveThis study aimed to design a multimodal deep learning approach to improve the evaluation precision of hospital outcomes for heart failure (HF) using a...