Patients’ Medical History Summarizer using NLP

Abstract

Text summarization is the process of extracting the meaning and important points from the text. It helps gain important information from the text while separating futile data. For generating a lot of textual data manually a person will be required to go through all the documents and then generate the summary which can be time taking and tiresome. Here Automatic text summarization (ATS) comes into the picture which takes text as input and generates the summary of that text with the help of machine learning algorithms and natural language processing techniques or NLP techniques. The use of ATS in the medical field can help doctors go through a patient’s medical history in a shorter period of time and take better decisions about the diagnosis of the patient.