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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, Chew-Teng1,2 (AUTHOR) 179297@cch.org.tw, Li, Yi-Rong3 (AUTHOR) 181065@cch.org.tw, Lin, Pei-Ru1 (AUTHOR) 183778@cch.org.tw, Lin, Sheng-Hao3,4 (AUTHOR) 112364@cch.org.tw, Wang, Bing-Yen5 (AUTHOR) 156283@cch.org.tw, Lin, Ching-Hsiung4,6,7,8 (AUTHOR) 47822@cch.org.tw
Source: Journal of Personalized Medicine. Feb2022, Vol. 12 Issue 2, pN.PAG-N.PAG. 1p.
Database: Academic Search 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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PLink https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=asn&AN=155568153
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        Value: 10.3390/jpm12020228
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        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: Li, Yi-Rong
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            NameFull: Lin, Sheng-Hao
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            NameFull: Wang, Bing-Yen
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              Text: Feb2022
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              Y: 2022
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