Health Prediction System

Our Health Prediction System utilizes machine learning algorithms and developed different models which automatically learn patterns and relationships from the given data. Once our developed models learned the patterns and relationships within the data, they can use this knowledge to make predictions about individuals' health risks. For example, it can identify individuals who are at a higher risk of developing certain diseases or conditions based on their specific characteristics. By detecting disease risks early, healthcare providers can intervene with preventive measures, screenings, or targeted interventions to improve outcomes or save a life. The Health Prediction System facilitates data-driven decision-making for healthcare professionals. The predictions generated by the system provide valuable insights that can guide healthcare providers in developing and determining appropriate interventions.

Indicators/Diseases of Health Prediction System

The health predictive system allows the prediction of different indicators, diseases, and cancers including Infant Mortality Rate, Maternal Mortality Rate, LHW performance, Tuberculosis, Pneumonia, COVID-19, Breast Cancer, and Colorectal Cancer.