TY  - JOUR
PY  - 2019//
TI  - Predictive apriori algorithm in youth suicide prevention by screening depressive symptoms from patient health questionnaire-9
JO  - TEM Journal
A1  - Sirisathitkul, Y.
A1  - Thanathamathee, P.
A1  - Aekwarangkoon, S.
SP  - 1449
EP  - 1455
VL  - 8
IS  - 4
N2  - This study employed the Predictive A priori algorithm in identifying significant questions of Patient Health Questionnaire-9 (PHQ-9) for suicide tendency prediction by using PHQ-9 and suicidal screening form (8Q). The random forest was applied to calculate the classification accuracy of PHQ-9 and 3 feature selection algorithms were applied to determine the attribute importance. The Predictive Apriori algorithm was applied to find the meaningful association rules. The classification accuracy of PHQ-9 is 92.12% and item no. 1 and no. 9 of PHQ-9 are less important. The significant risk factors associated with suicidal ideation are Item no. 2, no. 4, and no. 5. © 2019 Yaowarat Sirisathitkul, Putthiporn Thanathamathee, Saifon Aekwarangkoon.<p /> <p>Language: en</p>
LA  - en
SN  - 2217-8309
UR  - http://dx.doi.org/10.18421/TEM84-49
ID  - ref1
ER  -