According to the National Institute of Mental Health, for every five adults, one of them lives with a mental disorder such as depression, bipolar disorder, schizophrenia, and anxiety. Such disorders could lead to moderate to severe conditions (i.e., suicide). Psychiatrists use many tools and questionnaires to detect mental disorders and one the most common is Symptom Checklist-90-Revised (SCL-90-R) test, which composed of 90 questions and can detect symptoms for ten different mental disorders. This research proposes a new artificial intelligent framework for detecting mental disorders. The SCL-90-R questionnaire has been sent to more than 500 users in Turkey through a web system and evaluated by a psychiatrist. Then, a prediction model is developed by using Regularized Multinomial Logistic Regression (REM-LR). The results show that the accuracy of the final model is 97%. Experts and users can use the proposed model for enhancing clinical decisions.
|Original language||English (US)|
|Title of host publication||IISE Annual Conference and Expo 2019|
|Publisher||Institute of Industrial and Systems Engineers, IISE|
|State||Published - 2019|
|Event||2019 Institute of Industrial and Systems Engineers Annual Conference and Expo, IISE 2019 - Orlando, United States|
Duration: May 18 2019 → May 21 2019
|Name||IISE Annual Conference and Expo 2019|
|Conference||2019 Institute of Industrial and Systems Engineers Annual Conference and Expo, IISE 2019|
|Period||5/18/19 → 5/21/19|
Bibliographical notePublisher Copyright:
© 2019 IISE Annual Conference and Expo 2019. All rights reserved.
- Logistic Regression
- Machine Learning
- Mental Healthcare
- SCL-90-R test