TY - JOUR
T1 - Questionnaire-free machine-learning method to predict depressive symptoms among community-dwelling older adults
AU - Susanty, Sri
AU - Sufriyana, Herdiantri
AU - Su, Emily Chia Yu
AU - Chuang, Yeu Hui
N1 - Publisher Copyright:
© 2023 Susanty et al. This is an open access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.
PY - 2023/1
Y1 - 2023/1
N2 - The 15-item Geriatric Depression Scale (GDS-15) is widely used to screen for depressive symptoms among older populations. This study aimed to develop and validate a questionnaire-free, machine-learning model as an alternative triage test for the GDS-15 among community-dwelling older adults. The best models were the random forest (RF) and deep-insight visible neural network by internal validation, but both performances were undifferentiated by external validation. The AUROC of the RF model was 0.619 (95% CI 0.610 to 0.627) for the external validation set with a non-local ethnic group. Our triage test can allow healthcare professionals to preliminarily screen for depressive symptoms in older adults without using a questionnaire. If the model shows positive results, then the GDS-15 can be used for follow-up measures. This preliminary screening will save a lot of time and energy for healthcare providers and older adults, especially those persons who are illiterate.
AB - The 15-item Geriatric Depression Scale (GDS-15) is widely used to screen for depressive symptoms among older populations. This study aimed to develop and validate a questionnaire-free, machine-learning model as an alternative triage test for the GDS-15 among community-dwelling older adults. The best models were the random forest (RF) and deep-insight visible neural network by internal validation, but both performances were undifferentiated by external validation. The AUROC of the RF model was 0.619 (95% CI 0.610 to 0.627) for the external validation set with a non-local ethnic group. Our triage test can allow healthcare professionals to preliminarily screen for depressive symptoms in older adults without using a questionnaire. If the model shows positive results, then the GDS-15 can be used for follow-up measures. This preliminary screening will save a lot of time and energy for healthcare providers and older adults, especially those persons who are illiterate.
UR - http://www.scopus.com/inward/record.url?scp=85146867290&partnerID=8YFLogxK
U2 - 10.1371/journal.pone.0280330
DO - 10.1371/journal.pone.0280330
M3 - Article
C2 - 36696383
AN - SCOPUS:85146867290
SN - 1932-6203
VL - 18
JO - PLoS ONE
JF - PLoS ONE
IS - 1 January
M1 - e0280330
ER -