Predicting response to inhaled corticosteroid maintenance therapy in patients with chronic obstructive pulmonary disease using machine learning models.

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Bibliographic Details
Title: Predicting response to inhaled corticosteroid maintenance therapy in patients with chronic obstructive pulmonary disease using machine learning models.
Authors: Wu SC; Graduate Institute of Clinical Pharmacy, College of Medicine, National Taiwan University, Taipei, Taiwan; Department of Pharmacy, Hualien Tzu Chi Hospital, Buddhist Tzu Chi Medical Foundation, Hualien, Taiwan., Wu CY; Graduate Institute of Clinical Pharmacy, College of Medicine, National Taiwan University, Taipei, Taiwan., Chien JY; Department of Internal Medicine, National Taiwan University Hospital, Taipei, Taiwan., Dong YH; Department of Pharmacy, College of Pharmaceutical Sciences, National Yang Ming Chiao Tung University, Taipei, Taiwan; Institute of Public Health, School of Medicine, National Yang Ming Chiao Tung University, Taipei, Taiwan., Lin FJ; Graduate Institute of Clinical Pharmacy, College of Medicine, National Taiwan University, Taipei, Taiwan; School of Pharmacy, College of Medicine, National Taiwan University, Taipei, Taiwan; Department of Pharmacy, National Taiwan University Cancer Center, Taipei, Taiwan. Electronic address: fjilin@ntu.edu.tw.
Source: Respiratory medicine [Respir Med] 2025 Nov; Vol. 248, pp. 108378. Date of Electronic Publication: 2025 Sep 26.
Publication Type: Journal Article; Research Support, Non-U.S. Gov't
Journal Info: Publisher: Elsevier Country of Publication: England NLM ID: 8908438 Publication Model: Print-Electronic Cited Medium: Internet ISSN: 1532-3064 (Electronic) Linking ISSN: 09546111 NLM ISO Abbreviation: Respir Med Subsets: MEDLINE
Database: MEDLINE Ultimate
Description
ISSN:1532-3064
DOI:10.1016/j.rmed.2025.108378