Multitask Learning Model Outperforms Traditional Machine Learning Models in RCTs, Developers Say

AJMC September 16, 2022
Hayden E. Klein

The proposed multitask learning (MTL) model was developed using data from wearable devices worn by individuals in a randomized controlled trial (RCT) to predict outcomes of a depression treatment.

Researchers developed a novel multitask learning (MTL) model designed specifically for randomized controlled trials (RCTs), which analyzes data from both the intervention and control patient groups in RCTs and eliminating the need to develop a separate model for each set of patients.

According to the researchers, this proposed MTL model outperforms the traditional and single-task machine learning models in predictive performance.

These findings were published in the Proceedings of the ACM on Interactive, Model, Wearable and Ubiquitous Technologies, and will be presented at the UbiComp 2022 conference in September.

RCTs traditionally...

Today's Sponsors

Today's Sponsor