A Machine Learning-Derived Risk Score Based on Dietary Nutrient Intake for Early Detection and Prognostic Prediction of Preserved Ratio Impaired Spirometry.
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| Title: | A Machine Learning-Derived Risk Score Based on Dietary Nutrient Intake for Early Detection and Prognostic Prediction of Preserved Ratio Impaired Spirometry. |
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| Authors: | Xie Q; Department of Cardiothoracic Surgery, The First Affiliated Hospital of Chongqing Medical University, Chongqing, People's Republic of China., Qu H; Department of Cardiothoracic Surgery, The First Affiliated Hospital of Chongqing Medical University, Chongqing, People's Republic of China., Xie S; United Graduate School of Child Development, The University of Osaka, Suita, Osaka, 565-0871, Japan., Lan R; Department of Cardiothoracic Surgery, The First Affiliated Hospital of Chongqing Medical University, Chongqing, People's Republic of China., Li J; Department of Cardiothoracic Surgery, The Second Affiliated Hospital of Chongqing Medical University, Chongqing, 400010, People's Republic of China. |
| Source: | International journal of chronic obstructive pulmonary disease [Int J Chron Obstruct Pulmon Dis] 2026 Mar 13; Vol. 21, pp. 562473. Date of Electronic Publication: 2026 Mar 13 (Print Publication: 2026). |
| Publication Type: | Journal Article; Validation Study |
| Journal Info: | Publisher: DOVE Medical Press Country of Publication: New Zealand NLM ID: 101273481 Publication Model: eCollection Cited Medium: Internet ISSN: 1178-2005 (Electronic) Linking ISSN: 11769106 NLM ISO Abbreviation: Int J Chron Obstruct Pulmon Dis Subsets: MEDLINE |
| Database: | MEDLINE Ultimate |
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| ISSN: | 1178-2005 |
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| DOI: | 10.2147/COPD.S562473 |
