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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.
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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  Data: Explainable Machine Learning Model for Predicting First-Time Acute Exacerbation in Patients with Chronic Obstructive Pulmonary Disease.
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  Data: <searchLink fieldCode="AU" term="%22Kor+CT%22">Kor CT</searchLink>; Big Data Center, Changhua Christian Hospital, Changhua 500, Taiwan.; Graduate Institute of Statistics and Information Science, National Changhua University of Education, Changhua 500, Taiwan.<br /><searchLink fieldCode="AU" term="%22Li+YR%22">Li YR</searchLink>; Thoracic Medicine Research Center, Changhua Christian Hospital, Changhua 500, Taiwan.<br /><searchLink fieldCode="AU" term="%22Lin+PR%22">Lin PR</searchLink>; Big Data Center, Changhua Christian Hospital, Changhua 500, Taiwan.<br /><searchLink fieldCode="AU" term="%22Lin+SH%22">Lin SH</searchLink>; Thoracic Medicine Research Center, Changhua Christian Hospital, Changhua 500, Taiwan.; Division of Chest Medicine, Department of Internal Medicine, Changhua Christian Hospital, Changhua 500, Taiwan.<br /><searchLink fieldCode="AU" term="%22Wang+BY%22">Wang BY</searchLink>; Division of Thoracic Surgery, Department of Surgery, Changhua Christian Hospital, Changhua 500, Taiwan.<br /><searchLink fieldCode="AU" term="%22Lin+CH%22">Lin CH</searchLink>; 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.
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  Data: <searchLink fieldCode="JN" term="%22101602269%22">Journal of personalized medicine</searchLink> [J Pers Med] 2022 Feb 07; Vol. 12 (2). <i>Date of Electronic Publication: </i>2022 Feb 07.
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  Data: <i>Publisher: </i><searchLink fieldCode="PB" term="%22MDPI+AG%22">MDPI AG </searchLink><i>Country of Publication: </i>Switzerland <i>NLM ID: </i>101602269 <i>Publication Model: </i>Electronic <i>Cited Medium: </i>Print <i>ISSN: </i>2075-4426 (Print) <i>Linking ISSN: </i><searchLink fieldCode="IS" term="%2220754426%22">20754426 </searchLink><i>NLM ISO Abbreviation: </i>J Pers Med <i>Subsets: </i>PubMed not MEDLINE
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        Value: 10.3390/jpm12020228
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      – Code: eng
        Text: English
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      – TitleFull: Explainable Machine Learning Model for Predicting First-Time Acute Exacerbation in Patients with Chronic Obstructive Pulmonary Disease.
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            NameFull: Kor CT
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            NameFull: Lin PR
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            NameFull: Lin SH
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            NameFull: Wang BY
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            – D: 07
              M: 02
              Text: 2022 Feb 07
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              Value: 12
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              Value: 2
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            – TitleFull: Journal of personalized medicine
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