Predicting Early Stage Diabetes Risk in Indivisuals using Machine Learning

Data Scources

• https://archive.ics.uci.edu/ml/datasets/Early+stage+diabetes+risk+prediction+dataset.

• https://archive.ics.uci.edu/ml/machine-learning-databases/00529/

Problem at Hand

About Data

• Description :

  • The dataset was collected using direct questions from patients of Sylhet Diabetes Hospital in Sylhet, Bangladesh and approved by doctor

• Metadata :

  • The dataset is a multivariate datasets in CSV format.

  • It has 520 Datapoints and 17 fields or attribtues

• Attribute Information :

  • Age 1.20-65

  • Sex 1. Male, 2.Female

  • Polyuria 1.Yes, 2.No.

  • Polydipsia 1.Yes, 2.No.

  • sudden weight loss 1.Yes, 2.No.

  • weakness 1.Yes, 2.No.

  • Polyphagia 1.Yes, 2.No.

  • Genital thrush 1.Yes, 2.No.

  • visual blurring 1.Yes, 2.No.

  • Itching 1.Yes, 2.No.

  • Irritability 1.Yes, 2.No.

  • delayed healing 1.Yes, 2.No.

  • partial paresis 1.Yes, 2.No.

  • muscle stifness 1.Yes, 2.No.

  • Alopecia 1.Yes, 2.No.

  • Obesity 1.Yes, 2.No.

  • Class 1.Positive, 2.Negative.