Models applied in health based on Transfer Learning

This project promotes digital innovation in the water sector by improving the operation of WWTPs with machine learning and Digital Twin techniques to promote sustainable management.

This team has extensive expertise in developing models based on artificial intelligence and machine learning for data -poor health projects. Many of the models developed are based on the concept of “Transfer Learning ”, which allows the generation of algorithms based on artificial intelligence in cases where a sufficiently large database is not available to train an algorithm. This is especially useful in health , especially in minority diseases and mental health, for which there is not enough data to allow the use of these technologies.  

PI: Antoni Morell Pérez

Research Group: Wireless Information Networking (WIN)

Institution: Autonomous University of Barcelona

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