© Anshik 2021
AnshikAI for Healthcare with Keras and Tensorflow 2.0https://doi.org/10.1007/978-1-4842-7086-8_7

7. Federated Learning and Healthcare

New Delhi, India

With better and more computer and hardware technology so easily accessible, there is a huge influx of analytical data available from different healthcare stakeholders, from clinical institutions to insurance companies and from patients to pharmaceutical industries. This huge amount of data is a gold mine for uncovering insights that can help design an AI-integrated healthcare system aimed at providing better outcomes and quality at a reasonable cost.

Healthcare data, however generated in volumes, is still fragmented, with legal, ethical, and privacy concerns inhibiting large ...

Get AI for Healthcare with Keras and Tensorflow 2.0: Design, Develop, and Deploy Machine Learning Models Using Healthcare Data now with O’Reilly online learning.

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