What are predictors of diabetes?

Based on a conceptual model (Fig 1), 16 potential predictors of diabetes status were considered for investigation: age, sex, race, marital status, body mass index (BMI) , physical activity, quantity of sleep, smoking status, fruit intake, vegetable consumption, hypertension, high cholesterol, arthritis, education, …

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Is there a diabetes database?

You can also use the US Diabetes Surveillance System , an interactive web tool that provides diabetes data at national, state, and county levels and by age, sex, race/ethnicity, and education. The latest data on diabetes incidence, prevalence, complications, costs, and more.

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How do diabetics collect data?

Examples of quantitative data collection strategies include extracting data from existing sources, such as electronic health records or other clinical data, as well as conducting surveys or questionnaires, which can be administered by telephone, mail, or internet .

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What is Pima Indians dataset?

This dataset is originally from the National Institute of Diabetes and Digestive and Kidney Diseases. The objective of the dataset is to diagnostically predict whether or not a patient has diabetes, based on certain diagnostic measurements included in the dataset .

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