Machine learning for early detection of autism (and other conditions) using a parental questionnaire and home video screening.

2017 IEEE International Conference on Big Data. Existing screening tools for early detection of autism are expensive, cumbersome, time-intensive, and sometimes fall short in predictive value. In this work, we apply Machine Learning to gold standard clinical data obtained across thousands of children at risk for autism spectrum disorders to create a low-cost, quick, and easy to apply autism screening tool that performs better than most widely used standardized instruments. Read full publication here.

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