Diabetes Detection Using ML

Rajdeep Deb

Rajdeep Deb

Bengaluru, Karnataka

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Detects whether the persons in the database have diabetes or not ...learn more

Project status: Concept

oneAPI

Intel Technologies
oneAPI, Intel Python

Code Samples [1]

Overview / Usage

Diabetes is a group of metabolic disorders in which there are high blood sugar levels over a prolonged period. Symptoms of high blood sugar include frequent urination, increased thirst, and increased hunger. If left untreated, diabetes can cause many complications. Acute complications can include diabetic ketoacidosis, hyperosmolar hyperglycemic state, or death. Serious long-term complications include cardiovascular disease, stroke, chronic kidney disease, foot ulcers, and damage to the eyes.

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 specific diagnostic measurements included in the dataset. Several constraints were placed on selecting these instances from a more extensive database. In particular, all patients here are females at least 21 years old of Pima Indian heritage.

Repository

https://github.com/raj345ewq/diabetes-prediction

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