Our work on fusion-based suicide prediction is featured in JAMIA

Our work on using fusion learning t0 build suicide risk prediction models for diverse clinical settings (link) is featured in the most recent issue of the Journal of the American Medical Informatics Association (JAMIA).

Here is the Editorial by JAMIA editor Suzanne Bakken: Addressing Consequential Public Health Problems Through Informatics and Data Science.

Congratulations to the team!