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Development of an explainable machine learning model for 3-year cardiovascular risk prediction in new-onset type 2 diabetes using the TyG index and ultrasound features.

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Title: Development of an explainable machine learning model for 3-year cardiovascular risk prediction in new-onset type 2 diabetes using the TyG index and ultrasound features.
Authors: Jiang, Zhen-zhen1 (AUTHOR), Jiang, Yan-feng1 (AUTHOR), Wang, Yue1 (AUTHOR), Zhou, Ying1 (AUTHOR), Peng, Rong-li1 (AUTHOR), Ma, Cai-ye1 (AUTHOR), Liu, Xia-tian1 (AUTHOR) xiatian.liu@usx.edu.cn
Source: BMC Medical Informatics & Decision Making. 11/4/2025, Vol. 25 Issue 1, p1-15. 15p.
Database: Academic Search Ultimate
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Header DbId: asn
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An: 189085962
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PubType: Academic Journal
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PLink https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=asn&AN=189085962
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        Value: 10.1186/s12911-025-03247-6
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      – TitleFull: Development of an explainable machine learning model for 3-year cardiovascular risk prediction in new-onset type 2 diabetes using the TyG index and ultrasound features.
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              Text: 11/4/2025
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