Deep Heterogeneous Multimodal Learning Techniques for Predicting Hospital Readmission and Mortality Risk on Heart Failure Patients

Integrating Generative AI and Deep Learning for Next-Generation Remote Smart Early Warning System for Sudden Cardiac Arrest

Trace

Technical Name	Predicting model of readmission
Project Operator	Department of emergency medicine, National Taiwan University Hospital
Project Host	黃建華
Summary	Predicting the rate of readmission for the resuscitated cardiac arrest emergency department patients by the machine learning AI model.
Scientific Breakthrough	Develop the new predicting model by using machine learning in patient claim data
Industrial Applicability	Help for clinical decision making for emergency department patients
Keyword	Clinical predicting model emergency department readmission

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