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    Home > Active Ingredient News > Endocrine System > Diabetes Care: Machine learning to optimize subtypes of diabetes and coronary heart disease

    Diabetes Care: Machine learning to optimize subtypes of diabetes and coronary heart disease

    • Last Update: 2021-11-12
    • Source: Internet
    • Author: User
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    Machine learning is a multi-field interdisciplinary subject, involving probability theory, statistics, approximation theory, convex analysis, algorithm complexity theory and other subjects


    It is the core of artificial intelligence and the fundamental way to make computers intelligent


    Diabetes, heart blood vessels

    Data from the sitagliptin Cardiovascular Outcome Evaluation Trial (TECOS) study (n = 14671) was used, which is a cardiovascular outcome safety trial that compared sitagliptin and placebo in patients with T2DM and ASCVD (median Follow-up for 3.


    Cardiovascular events of myocardial infarction

    Four different phenotypes were finally determined: Group I includes Caucasian men with a high incidence of coronary heart disease; Group II includes Asian patients with low BMI; Group III includes women with non-coronary heart disease ASCVD disease; Group IV includes Patients with heart failure and renal dysfunction


    Four different phenotypes were finally determined: Group I includes Caucasian men with a high incidence of coronary heart disease; Group II includes Asian patients with low BMI; Group III includes women with non-coronary heart disease ASCVD disease; Group IV includes Patients with heart failure and renal dysfunction


    According to the clustering method, the patients are divided into 4 groups and the corresponding cardiovascular risks

    In Group I to Group IV, 11.


    In Group I to Group IV, 11.


    In summary, among T2DM and ASCVD patients, cluster analysis identified four clinically different groups


    references:

    Cluster Analysis of Cardiovascular Phenotypes in Patients With Type 2 Diabetes and Established Atherosclerotic Cardiovascular Disease: A Potential Approach to Precision Medicine.


    Cluster Analysis of Cardiovascular Phenotypes in Patients With Type 2 Diabetes and Established Atherosclerotic Cardiovascular Disease: A Potential Approach to Precision Medicine.


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