Using natural language processing to mine biomedical text from critical care discharge summaries
Clinical data in most hospitals are largely unstructured. Currently, developing and implementing NLP in clinical care process is becoming a global agenda. NLP tools can be of immense use to the clinical researchers as they are capable of quick identification of desired category of patients and disease subgroups in vast free text data sheets available in EMR`s. This will further help in better predicting the severity of illness and mortality probability.