Human Centered Machine Learning in Healthcare

We are building a framework to see how machine learning can stay grounded in human needs while solving them in unique ways in healthcare.

STORY

Machine learning (ML) is the science of helping computers discover patterns and relationships in data. It’s a powerful tool for creating personalized and dynamic experiences, and it’s already driving everything from Netflix recommendations to autonomous cars. But as more and more experiences are built with ML, it’s clear that UXers still have a lot to learn about how to make users feel in control of the technology, and not the other way round.

SOLUTION

We are working on a framework for  human-centered machine learning (HCML) to help guide building algorithms in healthcare. We look to see how ML can stay grounded in human needs while solving problems in unique ways that is only possible through ML. 

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RESULTS

We have created principles that can guide the designing, validation and implementation of ML algorithms in healthcare.

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