Disease Information & ML Models

Diabetes

Diabetes mellitus refers to a group of diseases that affect how your body uses blood sugar (glucose). Glucose is vital to your health because it's an important source of energy for the cells that make up your muscles and tissues. It's also your brain's main source of fuel. The underlying cause of diabetes varies by type. But, no matter what type of diabetes you have, it can lead to excess sugar in your blood. Too much sugar in your blood can lead to serious health problems.

ML Model: Random Forest Classifier

Accuracy: 85%

Parameters:
  • Glucose Level
  • Blood Pressure
  • Insulin
  • BMI
  • Age

Heart Disease

Conditions that affect the heart's structure and function. Common risk factors include high blood pressure, high cholesterol, and smoking.

ML Model: Support Vector Machine

Accuracy: 88%

Parameters:
  • Age
  • Blood Pressure
  • Cholesterol
  • Max Heart Rate
  • Blood Sugar

Kidney Disease

A condition that impairs kidney function. Early detection through specific markers can help prevent progression to kidney failure.

ML Model: Gradient Boosting

Accuracy: 87%

Parameters:
  • Age
  • Blood Pressure
  • Specific Gravity
  • Albumin
  • Sugar

Liver Disease

Various conditions that affect liver function. Early detection through blood tests can help identify liver problems before they become severe.

ML Model: XGBoost

Accuracy: 86%

Parameters:
  • Age
  • Total Bilirubin
  • Direct Bilirubin
  • Alkaline Phosphatase
  • Alamine Aminotransferase

Malaria

A serious disease caused by parasites that infect red blood cells. Detection through blood cell image analysis can provide quick diagnosis.

ML Model: Convolutional Neural Network

Accuracy: 94%

Parameters:
  • Blood Cell Images

Pneumonia

An infection that inflames the air sacs in the lungs. Early detection through chest X-ray analysis can lead to better treatment outcomes.

ML Model: Deep Learning CNN

Accuracy: 92%

Parameters:
  • Chest X-Ray Images