A Study on NLP Based Approach in AI and Text Data Mining for Automated Highlighting of New Information in Clinical Notes

Abstract

Artificial Intelligence(AI) has been a vast area in modern science. From our day to day lives it has contributed with so many devices that actually make sense as intelligent. Human beings can operate any gadgets operating by speech, text only. One of the techniques of AI is text mining or text data mining. Text mining uses natural language processing (NLP). for processing text to make it structured. So Text mining helps by using AI technology to produce new information from the structured data. Natural language processing (NLP) is the technique of artificial intelligence (AI). This allows machines to understand human language. NLP combines the powers of linguistics and computer science to study the rules and structure of language. It also creates intelligent systems (powered by machine learning and NLP algorithms) that can understand, analyze, and extract meaning from text and speech. Natural Language Processing (NLP) in healthcare can help physicians to make better decisions. This study describes the potential of NLP to maximize the value of Electronic Medical records(EMR’s) and healthcare data, making a critical and trusted component in improving health outcomes and also focus on process, the EMRs processing and emphatically analyzes the key text data mining processing techniques. EMRs have been doing an absolute help to automated highlighting of new information in clinical notes. This study tries to give an overview of how AI techniques plays an important role in healthcare.