Web based project 34

Diabetes Prediction Using Data Mining

A major challenge facing healthcare organizations (hospitals, medical centers) is the provision of quality services at affordable costs. Quality service implies diagnosing patients correctly and administering treatments that are effective. Poor clinical decisions can lead to disastrous consequences which are therefore unacceptable. Hospitals must also minimize the cost of clinical tests. They can achieve these results by employing appropriate computer-based information and/or decision support systems. Most hospitals today employ some sort of hospital information systems to manage their healthcare or patient data. These systems typically generate huge amounts of data which take the form of numbers, text, charts and images. Unfortunately, these data are rarely used to support clinical decision making. There is a wealth of hidden information in these data that is largely untapped. This raises an important question: “How can we turn data into useful information that can enable healthcare practitioners to make intelligent clinical decisions?” Although data mining has been around for more than two decades, its potential is only being realized now. Data mining combines statistical analysis, machine learning and database technology to extract hidden patterns and relationships from large databases. The two most common modeling objectives are classification and prediction. Classification models predict categorical labels (discrete, unordered) while prediction models predict continuous-valued functions. Decision Trees and Neural Networks use classification algorithms while Regression, Association Rules and Clustering use prediction algorithms.

The system comprises of 2 major modules as follows:

  1. Admin:
  2. Add / View Training Data
  3. Add / View Doctor Details
  4. View User Details
  5. View Feedback
  1. User:
  2. Register (With basic details like Name, mobile no., age, etc.)
  3. Login
  4. Check Diabetes (By providing Details like
  • Pregnancies
  • Glucose
  • Blood Pressure
  • Skin Thickness
  • Insulin
  • BMI (Body Mass Index)
  • Diabetes Pedigree Function
  • Age
  1. View Doctor
  2. Give Feedback
  • Hardware Requirement:-
  • i3 Processor Based Computer or higher
  • Memory: 1 GB RAM
  • Hard Drive: 50 GB
  • Monitor
  • Internet Connection
  • Software Requirement:
  • Windows 7 or higher
  • Visual studio 2010
  • SQL Server 2008
  • Google Chrome Browser
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