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Machine learning in the diagnosis of asthma phenotypes during coronavirus disease 2019 pandemic.

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Title: Machine learning in the diagnosis of asthma phenotypes during coronavirus disease 2019 pandemic.
Authors: Gawlewicz‐Mroczka, Agnieszka1 (AUTHOR), Pytlewski, Adam2 (AUTHOR), Celejewska‐Wójcik, Natalia1 (AUTHOR), Ćmiel, Adam3 (AUTHOR), Gielicz, Anna1 (AUTHOR), Sanak, Marek1 (AUTHOR), Mastalerz, Lucyna1 (AUTHOR) lucyna.mastalerz@uj.edu.pl
Source: Clinical & Translational Allergy. Oct2022, Vol. 12 Issue 10, p1-11. 11p.
Database: Academic Search Ultimate
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  Data: Machine learning in the diagnosis of asthma phenotypes during coronavirus disease 2019 pandemic.
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PLink https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=asn&AN=159863834
RecordInfo BibRecord:
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      – Type: doi
        Value: 10.1002/clt2.12201
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      – Code: eng
        Text: English
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        PageCount: 11
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      – TitleFull: Machine learning in the diagnosis of asthma phenotypes during coronavirus disease 2019 pandemic.
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            NameFull: Gawlewicz‐Mroczka, Agnieszka
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            NameFull: Pytlewski, Adam
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            NameFull: Celejewska‐Wójcik, Natalia
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            NameFull: Ćmiel, Adam
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            NameFull: Gielicz, Anna
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            NameFull: Sanak, Marek
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            NameFull: Mastalerz, Lucyna
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            – D: 01
              M: 10
              Text: Oct2022
              Type: published
              Y: 2022
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              Value: 12
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              Value: 10
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            – TitleFull: Clinical & Translational Allergy
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