Deep Learning-based Natural Language Processing for Electronic Health Records: Utilizing deep learning techniques for natural language processing of electronic health records, extracting valuable clinical information for research and healthcare decision-m

Abstract

Deep learning has revolutionized natural language processing (NLP) in various domains, including healthcare. This paper explores the application of deep learning techniques for NLP of electronic health records (EHRs) to extract valuable clinical information for research and healthcare decision-making. We discuss the challenges of processing unstructured EHR text and review the state-of-the-art deep learning models used in this context. Furthermore, we present case studies and applications of deep learning in EHR analysis, highlighting their impact on clinical outcomes and healthcare delivery. Finally, we discuss future directions and challenges in the field, emphasizing the potential of deep learning-based NLP in transforming EHRs into actionable knowledge for improved patient care.