Hi there - I'm trying to predict a few things from clinical notes as follows:
1. Look at the notes and discharge summaries, and predict the re-admissions data, cardiac arrests, diabetes, and pre-term birth. 2. Understand the vocabulary of doctors and pharmacies. For example, recognize that Tylenol and Acetaminophen refer to the same item. Have a good understanding of body parts and diseases. The vocabulary is domain-specific. 3. The data is loaded from Cerner and EPIC. Can somebody help with suggestions on the list of pipelines that can be used to achieve (1) and (2) above? Should I also develop a machine-learning model along with cTAKES to get the desired results? Thanks Sekhar Hari | AI Program Lead | Health Sciences R&D | Asia Pacific Solutions Delivery Center +91 814 7027 779 (C)
