Explainable Machine Learning Model for Predicting First-Time Acute Exacerbation in Patients with Chronic Obstructive Pulmonary Disease.
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| Title: | Explainable Machine Learning Model for Predicting First-Time Acute Exacerbation in Patients with Chronic Obstructive Pulmonary Disease. |
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| Authors: | Kor CT; Big Data Center, Changhua Christian Hospital, Changhua 500, Taiwan.; Graduate Institute of Statistics and Information Science, National Changhua University of Education, Changhua 500, Taiwan., Li YR; Thoracic Medicine Research Center, Changhua Christian Hospital, Changhua 500, Taiwan., Lin PR; Big Data Center, Changhua Christian Hospital, Changhua 500, Taiwan., Lin SH; Thoracic Medicine Research Center, Changhua Christian Hospital, Changhua 500, Taiwan.; Division of Chest Medicine, Department of Internal Medicine, Changhua Christian Hospital, Changhua 500, Taiwan., Wang BY; Division of Thoracic Surgery, Department of Surgery, Changhua Christian Hospital, Changhua 500, Taiwan., Lin CH; Division of Chest Medicine, Department of Internal Medicine, Changhua Christian Hospital, Changhua 500, Taiwan.; Institute of Genomics and Bioinformatics, National Chung Hsing University, Taichung 402, Taiwan.; Department of Recreation and Holistic Wellness, MingDao University, Changhua 523, Taiwan.; Artificial Intelligence Development Center, Changhua Christian Hospital, Changhua 500, Taiwan. |
| Source: | Journal of personalized medicine [J Pers Med] 2022 Feb 07; Vol. 12 (2). Date of Electronic Publication: 2022 Feb 07. |
| Publication Type: | Journal Article |
| Journal Info: | Publisher: MDPI AG Country of Publication: Switzerland NLM ID: 101602269 Publication Model: Electronic Cited Medium: Print ISSN: 2075-4426 (Print) Linking ISSN: 20754426 NLM ISO Abbreviation: J Pers Med Subsets: PubMed not MEDLINE |
| Database: | MEDLINE Ultimate |
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| ISSN: | 2075-4426 |
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| DOI: | 10.3390/jpm12020228 |
