MACHINE LEARNING & AI FOR HEALTHCARE: A HIMSS EVENT
Boston, MA, June 13-14, 2019
Suicide is the 10th leading cause of death in the United States and the second leading cause of death among young people. Mental health professionals fare poorly at predicting suicide risk, mainly because patients hide these thoughts during counselling.
Machine learning and AI hold promise for analyzing patterns in data (EMR data and social media posts, for example) to help identify patients with suicidal thoughts and tendencies. These efforts toward an early warning system could help alert physicians, mental health professionals and family members when someone in their care needs help.
In this session, two healthcare experts discuss their efforts to use machine learning to detect suicidal thinking in two at-risk populations: convicts and veterans.
From the essentials of data and analytics to the increasingly more complex applications of machine learning and artificial intelligence within healthcare, this is one event you don't want to miss.
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