Applying Natural Language Processing in Healthcare Using Data Science

This research paper explores how advancements in Artificial Intelligence, particularly Natural Language Processing (NLP), are impacting healthcare. NLP, which can analyse and understand human language, is being integrated into clinical research. The importance of integrating Natural Language Processing (NLP) methods into clinical informatics research has been increasingly acknowledged in recent years, leading to significant advancements. NLP systems are designed to process medical documents, sentences, and individual words to extract valuable information. Clinical text classification with filtering tools, techniques and domain knowledge improves accuracy on imbalanced and noisy data. This review analyses existing studies on NLP in healthcare, exploring different approaches and technical aspects. The paper also highlights the use of NLP in various healthcare applications and identifies areas for future research to further develop NLP-driven smart healthcare.