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Personalized prediction of depression treatment outcomes with wearables – Washington University in St. Louis

Friday, 16 September, 2022

Personalized prediction of depression treatment outcomes with wearables – Washington University in St. Louis

Over the past several years, managing one’s mental health has become more of a priority with an increased emphasis on self-care. Depression alone affects more than 300 million people worldwide annually. Recognizing this, there is significant interest to leverage popular wearable devices to monitor an individual’s mental health by measuring markers such as activity levels, sleep and heart rate.

A team of researchers at Washington University in St. Louis and at the University of Illinois Chicago used data from wearable devices to predict outcomes of treatment for depression on individuals who took part in a randomized clinical trial. They developed a novel machine learning model that analyzes data from two sets of patients — those randomly selected to receive treatment and those who did not receive treatment — instead of developing a separate model for each group. This unified multitask model is a step toward personalized medicine, in which physicians design a treatment plan specific to each patient’s needs and predict outcome based on an individual’s data.

Read more at: https://source.wustl.edu/2022/09/personalized-prediction-of-depression-treatment-outcomes-with-wearables/

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