“Researchers at Lawrence Berkeley National Laboratory (Berkeley Lab) are working with the Department of Veterans Affairs and Department of Energy (DOE) to apply deep learning strategies to the challenge of identifying and addressing suicide risks among veterans.”
“The collaboration, first launched in 2017, is leveraging the VA’s vast electronic health record data assets, the VA’s MVP genomic databank, and the DOE’s experience with artificial intelligence to reduce the staggering toll of self-harm among veterans…”
“Deep learning has the potential to support this work by combing through EHR data, genomic data, and other records, then synthesizing vast datasets in a highly detailed manner.”
“Running neural networks requires significant computing resources – resources which the DOE has in abundance…” Read the full article here.
Source: Berkeley Lab, VA Use Deep Learning to Address Veteran Suicide Risks – By Jennifer Bresnick, April 4, 2019. Health IT Analytics.