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GDSC-IGDTUW-Autumn-of-Code-2022 / ML-projects-2023

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PIMA INDIAN DIABETES CLASSIFICATION AND PREDICTION #20

Open KanchanBora opened 1 year ago

KanchanBora commented 1 year ago

I'll be working with data for 768 patients of Pima Indian Women and drawing out some conclusions after data visualization using graphs and plots.

In this data 65% womens are healthy whereas 35% women are diabetic . From this data we'll be able to infer that : 1.Women after age of 30 are more prone to diabetes.

  1. Women after more pregnancies there are more chances to have high glucose levels.
  2. With age the blood pressure increases.
  3. Glucose is the most important factor in determining the onset of diabetes followed by BMI and Age.
  4. Other factors such as Diabetes Pedigree Function, Pregnancies, Blood Pressure, Skin Thickness and Insulin also contributes to the prediction.
  5. Diabetic people tend to have higher BP which leads to risk of many other diseases such as hypertension, heart diseases,strokes etc.
    1. Obese people develop more chances of higher insulin levels which in turn lead to pre diabetic or diabetic conditions.
KanchanBora commented 1 year ago

@072arushi @Parul-Mann Please assign this issue to me.