Development and validation of a prediction model for non-alcoholic fatty liver disease in non-obese population using seven machine learning algorithms.

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Title: Development and validation of a prediction model for non-alcoholic fatty liver disease in non-obese population using seven machine learning algorithms.
Authors: QIU, Lin-jie1, REN, Hai-yan1, REN, Yan1, LI, Mei-jie1, ZOU, Cha-cha1, WU, Zi-jin1, ZHANG, Jin1 jin_zhang2000@hotmail.com
Source: Modern Preventive Medicine. 2026, Vol. 53 Issue 3, p539-545. 7p.
Database: Academic Search Ultimate
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DbLabel: Academic Search Ultimate
An: 192144993
AccessLevel: 2
PubType: Academic Journal
PubTypeId: academicJournal
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  Data: Development and validation of a prediction model for non-alcoholic fatty liver disease in non-obese population using seven machine learning algorithms.
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  Data: <searchLink fieldCode="JN" term="%22Modern+Preventive+Medicine%22">Modern Preventive Medicine</searchLink>. 2026, Vol. 53 Issue 3, p539-545. 7p.
PLink https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=asn&AN=192144993
RecordInfo BibRecord:
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      – Type: doi
        Value: 10.20043/j.cnki.MPM.202508081
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      – Code: chi
        Text: Chinese
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      – TitleFull: Development and validation of a prediction model for non-alcoholic fatty liver disease in non-obese population using seven machine learning algorithms.
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            NameFull: ZOU, Cha-cha
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            – D: 01
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              Text: 2026
              Type: published
              Y: 2026
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            – TitleFull: Modern Preventive Medicine
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