(2018) reported a suite of five clinical prediction tasks, including the length-of-stay, mortality, and ICD-9 code group prediction on the MIMIC-III database using deep learning models and benchmarked their performance against the existing state-of-the-art methods and severity scoring systems.
mining and modeling the valuable patient-specific information in unstructured clinical nursing notes for the development of CDSSs remains mostly uncommon.