Predictive Analysis app for Health Patients

Objective

About Client : The Client is a drug research and development organization.

The main difficulty of the client was to understand the effects post the medicine intake and predict from the data given and learned by machine, to what would be the possible outcome for a given case scenario.

Our Approach

Research : We organized a workshop along with client to understand their current process and their prediction system.

Approach :

The Predictive Analysis app for Health Patients is an app that predicts a patient’s health risks and provides a course of action to prevent those risks. The app is designed to be used by both patients and healthcare providers.

The Predictive Analysis app for Health Patients uses a variety of data, including medical history, family history, lifestyle data, and environmental data, to predict a patient’s health risks. The app then provides recommendations for how to prevent those risks. Read More here

Benefits Achieved

Client could achieve the desired result at 75% accuracy, also significantly reducing manual labor for almost 150%. 

United Kingdom

LOCATION

490 DAYS

TIMELINE FOR THE PROJECT

4

NUMBER OF MEMBERS

Protected

TECHNOLOGIES OR TOOLS USED

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