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FEDERATED LEARNING SYSTEM FOR HEALTHCARE

FEDERATED LEARNING SYSTEM FOR HEALTHCARE

"EMPOWERING HEATHCARE WITH COLLABORATIVE INTELLIGENCE

Created on 16th April 2023

FEDERATED LEARNING SYSTEM FOR HEALTHCARE

FEDERATED LEARNING SYSTEM FOR HEALTHCARE

"EMPOWERING HEATHCARE WITH COLLABORATIVE INTELLIGENCE

The problem FEDERATED LEARNING SYSTEM FOR HEALTHCARE solves

Nowadays disease prediction is an active research area. The prediction results can be used to take preventive measures, such as lifestyle changes, early detection, and treatment to improve health outcomes. Machine learning is an important technique used in this field. But mostly we use centralised method for this prediction, which doesn’t ensure privacy of the patients’ data.
It also ensures availability of prective models to everyone across the globe.

Challenges we ran into

Inavailability of dataset for intial model creation.Some clients may not posses a dataset for initial creation and the geographical variation and lifestyle changes can may slight changes in the result .

Discussion

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