Uncovering Predictors of Lipid Goal Attainment in Type 2 Diabetes Outpatients Using Logic Learning Machine: Insights from the AMD Annals and AMD Artificial Intelligence Study Group

Uncovering Predictors of Lipid Goal Attainment in Type 2 Diabetes Outpatients Using Logic Learning Machine: Insights from the AMD Annals and AMD Artificial Intelligence Study Group

Identifying and treating lipid abnormalities is crucial for preventing cardiovascular disease in diabetic patients, yet only two-thirds of patients reach recommended cholesterol levels. Elucidating the factors associated with lipid goal attainment represents an unmet clinical need. To address this k...

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Bibliographic Details
Main Authors: Davide Masi, Rita Zilich, Riccardo Candido, Annalisa Giancaterini, Giacomo Guaita, Marco Muselli, Paola Ponzani, Pierluigi Santin, Damiano Verda, Nicoletta Musacchio
Format: Article
Language:English
Published: MDPI AG 2023-06-01
Series:Journal of Clinical Medicine
Subjects:
dyslipidemia
machine learning
artificial intelligence
type 2 diabetes
low-density lipoprotein cholesterol
Online Access:https://www.mdpi.com/2077-0383/12/12/4095

Internet

https://www.mdpi.com/2077-0383/12/12/4095

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