Clinical and research applications of natural language processing for heart failure
- PMID: 39699708
- DOI: 10.1007/s10741-024-10472-0
Clinical and research applications of natural language processing for heart failure
Abstract
Natural language processing (NLP) is a burgeoning field of machine learning/artificial intelligence that focuses on the computational processing of human language. Researchers and clinicians are using NLP methods to advance the field of medicine in general and in heart failure (HF), in particular, by processing vast amounts of previously untapped semi-structured and unstructured textual data in electronic health records. NLP has several applications to clinical research, including dramatically improving processes for cohort assembly, disease phenotyping, and outcome ascertainment, among others. NLP also has the potential to improve direct clinical care through early detection, accurate diagnosis, and evidence-based management of patients with HF. In this state-of-the-art review, we present a general overview of NLP methods and review clinical and research applications in the field of HF. We also propose several potential future directions of this emerging and rapidly evolving technological breakthrough.
Keywords: Artificial intelligence; Heart failure; Machine learning; Natural language processing.
© 2024. The Author(s), under exclusive licence to Springer Science+Business Media, LLC, part of Springer Nature.
Conflict of interest statement
Competing Interests: Dr. Go has received research support from the National Heart, Lung and Blood Institute and the National Institute of Diabetes, Digestive and Kidney Diseases. Dr. Ambrosy has received relevant research support through grants to his institution from the National Heart, Lung, and Blood Institute (K23HL150159), the American Heart Association (2nd Century Early Faculty Independence Award), The Permanente Medical Group, Northern California Community Benefits Programs, Garfield Memorial Fund, Abbott Laboratories, Amarin Pharma, Inc., Bayer, Cordio Medical, Edwards Lifesciences LLC, Esperion Therapeutics, Inc., Merck, and Novartis. Dr. Andrew P. Ambrosy, Dr. Jana Svetlichnaya, and Rishi V. Parikh are Editorial Board members of Heart Failure Reviews. All other authors report no relevant disclosures.
References
-
- Locke S et al (2021) Natural language processing in medicine: a review. Trends Anaesth Crit Care 38:4–9 - DOI
-
- Bates BA et al (2023) Validity of International Classification of Diseases (ICD)-10 diagnosis codes for identification of acute heart failure hospitalization and heart failure with reduced versus preserved ejection fraction in a national Medicare sample. Circ Cardiovasc Qual Outcomes 16(2):e009078 - DOI - PubMed
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