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type 2 diabetes  (Purdue University Cytometry)

 
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    Purdue University Cytometry type 2 diabetes
    Type 2 Diabetes, supplied by Purdue University Cytometry, used in various techniques. Bioz Stars score: 86/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
    https://www.bioz.com/result/type 2 diabetes/product/Purdue University Cytometry
    Average 86 stars, based on 1 article reviews
    type 2 diabetes - by Bioz Stars, 2026-05
    86/100 stars

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    Overview of dataset features and their relationship with Type 2 Diabetes status. The figure shows each feature’s distribution across five categories, summarizing the dataset’s categorical composition.

    Journal: Data in Brief

    Article Title: A clinical dataset on type-2 diabetes including demographic, anthropometric, and biochemical parameters from Bangladesh

    doi: 10.1016/j.dib.2026.112457

    Figure Lengend Snippet: Overview of dataset features and their relationship with Type 2 Diabetes status. The figure shows each feature’s distribution across five categories, summarizing the dataset’s categorical composition.

    Article Snippet: Mendeley Data Type-2 Diabetes Dataset Bangladesh (Original data) .

    Techniques:

    Correlation Heatmap of dataset features. The figure shows pairwise feature correlations in the Type 2 Diabetes dataset for analysis and feature selection.

    Journal: Data in Brief

    Article Title: A clinical dataset on type-2 diabetes including demographic, anthropometric, and biochemical parameters from Bangladesh

    doi: 10.1016/j.dib.2026.112457

    Figure Lengend Snippet: Correlation Heatmap of dataset features. The figure shows pairwise feature correlations in the Type 2 Diabetes dataset for analysis and feature selection.

    Article Snippet: Mendeley Data Type-2 Diabetes Dataset Bangladesh (Original data) .

    Techniques: Selection

    Relationship between key features (Age, BMI, Glucose, Insulin) and Type 2 Diabetes status. Points are colored by diabetes status (blue for non-diabetic, green for diabetic) to show feature distribution across classes.

    Journal: Data in Brief

    Article Title: A clinical dataset on type-2 diabetes including demographic, anthropometric, and biochemical parameters from Bangladesh

    doi: 10.1016/j.dib.2026.112457

    Figure Lengend Snippet: Relationship between key features (Age, BMI, Glucose, Insulin) and Type 2 Diabetes status. Points are colored by diabetes status (blue for non-diabetic, green for diabetic) to show feature distribution across classes.

    Article Snippet: Mendeley Data Type-2 Diabetes Dataset Bangladesh (Original data) .

    Techniques: