Predicting Clinical Re-admission using Discharge Summaries (PCRUDS)
T S Dhanalakshmi, Merin Meleet · 2020
Before days in hospitals used to prescribe medicines in paper format. As the technology increasing in most of the fields to make the process easy handling & robust. The hospital clinical notes are digitalized in electronic medical/health record (EMR) format. This notes which is being very helpful for analyzing for future predictions. The data is created by combing the covid-19 issues and MIMIC-I to predict the re-admission cases through NLP (Natural language processing) techniques. In this paper implemented covid-19 possibility of re-admitting due to some symptoms like fever, cold etc. in histogram form. Used MIMIC-III database which consists of free text in unstructured form and converting in to structured form using natural language processing (NLP) technique and python flask to make a web-app which identifies important keywords and probable diagnosis from the data.