PROPHENTA

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  PROPHENTA ~Make Prediction, Take Action

Inspiration

Our team imagined a world where every health condition was recognized and treated before it came up - and we could make it happen.

In today's world, doctors do everything they can to keep patients healthy. However, healthcare organizations can look to their data and analytics to better support patients before, during and after their visit. The key to success is predictive analytics.

What it does

The use of predictive analytics and predictive modeling allows healthcare organizations to analyze massive amounts of patient, consumer, and market data, then produce actionable insights. This creates a win-win situation for patients and providers.

At every stage of a patient's journey, predictive analytics can help. By using it, we can get better care, get early interventions, optimize operations, and save money.

How we built it

         The predictive model is trained with data acquired from many sources, including clinical, EHR and healthcare activity data. The model then uses that data to make predictions about future behaviors. After certain period, the random forest tree and the neural network algorithm of ML is able to make accurate and actionable insights that are required to prevent and predict the ill-effects of the disease

Challenges we ran into

It was challenging to collect a large amount of data and to analyze the patterns and trends in them!

What we learned

We have learned various machine learning concepts to build the predictive models faster and more accurate

What's next for PROPHENTA

Let's create a world where every health condition was recognized and treated before they even emerged!!!

Built With

• ai
• flutter
• ml
• python