Diabetes Wizard

A recent development in the state of art technology machine learning plays a vital role in the image processing application a such as biomedical, satellite image processing, Artificial intelligence such as object identification and recognition and so on. The diabetes is one of lethal diseases in the

Project Title

Diabetes Wizard

Project Area of Specialization

Artificial Intelligence

Project Summary

A recent development in the state of art technology machine learning plays a vital role in the image processing application a such as biomedical, satellite image processing, Artificial intelligence such as object identification and recognition and so on. The diabetes is one of lethal diseases in the world. It is additional an inventor of various varieties of disorders foe example: coronary failure, blindness, urinary organ diseases etc. In such case the patient is required to visit a diagnostic centre, to get their reports after consultation. Due to every time they have to invest their time and currency. But with the growth of Machine Learning methods we have got the flexibility to search out an answer to the current issue, we have got advanced system mistreatment information processing that has the ability to forecast whether the patient has polygenic illness or not. Furthermore, forecasting the sickness initially ends up in providing the patients before it begins vital. Information withdrawal has the flexibility to remove unseen data from a large quantity of diabetes associated information. The aim of this analysis is to develop a system which might predict the diabetic risk level of a patient with a better accuracy. Model development is based on categorization methods as Decision Tree, ANN, Naive Bayes and SVM algorithms.

Project Objectives

• To develop and AI based diabetes prediction system
• To improve the accuracy of the early prediction of the diabetes.
• To develop and android based app for real time analysis of diabetes prone patients.

Project Implementation Method

1- Data source:

            Diabetes and cardiovascular disease are two of the main causes of death in the United States. Identifying and predicting these diseases in patients is the first step towards stopping their progression. We evaluate the capabilities of machine learning models in detecting at-risk patients using survey data (and laboratory results), and identify key variables within the data contributing to these diseases among the patients.

2- Data pre-processing:

• By segregating the dataset into training and test data.
• Cleaning the data
• Scaling the data between 0 and 1.

3- Classifiers:-

  We will use the following algorithms for our study which are listed below:

1. Decision Tree
2. Random Forest
3. Support Vector Machine
4. K-Nearest Neighbour

Benefits of the Project

Prediction of diabetes at an early stage can lead to improved treatment. Data mining techniques are widely used for prediction of disease at an early stage. In this project, diabetes is predicted using significant attributes, and the relationship of the differing attributes is also characterized. The capability to predict diabetes early, assumes a vital role for the patient's appropriate treatment procedure. The will specially hep that population which is at the corner of the diabetes. This app will provide a precautionary measure to change the habits to avoid the disease.

Technical Details of Final Deliverable

The final product will have the following capabilities

1. Registration of users
2. Collection of data according to the system requirements
3. Providing analysis based of the collected data as follows
   1. The user is safe from diabetes
   2. The user is prone to the diabetes
   3. The user is at the critical border line and need doctor advice
   4. The user is patient and need medical treatment.
4. The app will also have the follow up mechanism and will be subject to the approval the users.

Final Deliverable of the Project

Software System

Core Industry

Health

Other Industries

Core Technology

Artificial Intelligence(AI)

Other Technologies

Sustainable Development Goals

Good Health and Well-Being for People, Sustainable Cities and Communities

Required Resources

If you need this project, please contact me on contact@adikhanofficial.com