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AI model for predicting asthma prognosis in children

Background: Childhood asthma often continues into adulthood, but some children experience remission. Utilizing electronic health records (EHRs) to predict asthma prognosis can aid health care providers and patients in developing effective prioritized care plans. Objective: We aimed to develop artifi...

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Principais autores: Elham Sagheb, MS, Chung-Il Wi, MD, Katherine S. King, MS, Bhavani Singh Agnikula Kshatriya, MS, Euijung Ryu, PhD, Hongfang Liu, PhD, Miguel A. Park, MD, Hee Yun Seol, MD, Shauna M. Overgaard, PhD, Deepak K. Sharma, PhD, Young J. Juhn, MD, Sunghwan Sohn, PhD
Formato: Artigo
Idioma:Inglês
Publicado: Elsevier 2025-05-01
Series:Journal of Allergy and Clinical Immunology: Global
Assuntos:
Asthma
asthma prognosis
natural language processing
artificial intelligence
machine learning
electronic health records
Acceso en liña:http://www.sciencedirect.com/science/article/pii/S277282932500030X
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