Towards Clinical Decision Support for Veteran Mental Health Crisis Events using Tree Algorithm
Institute of Electrical and Electronics Engineers
2019 IEEE 43rd Annual Computer Software and Applications Conference (COMPSAC)
This research focuses on establishing a psychological treatment system especially for Milwaukee based veterans outside the traditional clinical environment of Veterans Affairs (VA). As part of this process, a 12- week intervention had been made. Data had been collected related to different health aspects and psychological measurements. With the help of expert veterans and psychologist, we had defined early warning signs, acute crisis and long-term crisis from this dataset. We had used different algorithms to predict long term crisis using acute crisis and early warning signs. At the end, we had established a clinical decision-making rule to assist peer mentor veterans to help their fellow mentee veterans especially those suffering from PTSD.
Hossain, Fitrat; George, Olawunmi; Johnson, Nadiyah Frances; Madiraju, Praveen; Flower, Mark; Franco, Zeno; Hooyer, Katinka; Mazaba, Jose Lizarraga; Rein, Lisa; and Ahamed, Sheikh Iqbal, "Towards Clinical Decision Support for Veteran Mental Health Crisis Events using Tree Algorithm" (2019). Computer Science Faculty Research and Publications. 19.
ADA Accessible Version
Accepted version. 2019 IEEE 43rd Annual Computer Software and Applications Conference (COMPSAC), (July 15-19, 2019): 386-390. DOI. © 2019 Institute of Electrical and Electronics Engineers. Used with permission