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 .
Read moreWhat is diabetes pedigree?
DiabetesPedigreeFunction: Diabetes pedigree function (a function which scores likelihood of diabetes based on family history ) Age: Age (years) Outcome: Class variable (0 if non-diabetic, 1 if diabetic)
Read moreWhat are diabetic parameters?
At 2 hours, a blood sugar level of 140 mg/dL or lower is considered normal, 140 to 199 mg/dL indicates you have prediabetes, and 200 mg/dL or higher indicates you have diabetes.
Read moreHow do you deal with diabetes mentally?
10 Tips for Coping with Diabetes Distress
Read moreWhat 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, …
Read moreHow 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 .
Read moreHow do I download sklearn datasets in Python?
download() function to download the datasets that are comes with the NLP suite . In sklearn, it talks about loading data sets (http://scikit-learn.org/stable/datasets/) and fetching datas from http://mldata.org/ but for the rest of the datasets, the instructions were to download from the source.
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