This project helps doctors predict a patients condition and diagnose any current conditions a patient may have.

In order to achieve this the application analyzes the historical data of patients conditions from patients that have had that condition and tries to find correlations between different factors (conditions, medications etc.) to find any early warning signs correlated to many types of conditions.

With this analysis a patient's information is passed to the learning model any risk factors (status, conditions, medications etc.) should be spotted enabling the learning model to produce an accurate outcome, letting the doctor know that something must be done now before the patient ends up with the predicted condition.

This is not designed to be a replacement for doctors but rather a tool to aid doctors. A patient's situation is not always as clear as it seems, sometimes not all risk factors for a specific patient are clear/obvious. This application aims to make doctors' lives easier by taking all these risk factors into consideration allowing the patient to avoid these conditions and allowing the doctor to tend to more important matters.