Byeon H. Developing a nomogram for predicting the depression of senior citizens living alone while focusing on perceived social support. World J Psychiatr 2021; 11(12): 1314-1327 [PMID: 35070780 DOI: 10.5498/wjp.v11.i12.1314]
Corresponding Author of This Article
Haewon Byeon, DSc, PhD, Associate Professor, Director, Department of Medical Big Data, Inje University, 197, Inje-ro, Gimhae, 50834, Gyeonsangnamdo, South Korea. bhwpuma@naver.com
Research Domain of This Article
Psychiatry
Article-Type of This Article
Case Control Study
Open-Access Policy of This Article
This article is an open-access article which was selected by an in-house editor and fully peer-reviewed by external reviewers. It is distributed in accordance with the Creative Commons Attribution Non Commercial (CC BY-NC 4.0) license, which permits others to distribute, remix, adapt, build upon this work non-commercially, and license their derivative works on different terms, provided the original work is properly cited and the use is non-commercial. See: http://creativecommons.org/licenses/by-nc/4.0/
Table 4 Validating a nomogram for predicting the depression of senior citizens living alone
Measure
Description
Value
TP
1012
TN
49
FP
29
FN
18
AUC
0.96
Accuracy
(TP + TN)/(TP + TN + FP + FN)
0.95
Balanced accuracy
[TP/(TP + FN) + TN/(TN + FP)]/2
0.80
Sens
TP/(TP + FN)
0.98
Spec
TN/(TN + FP)
0.62
FPR
FP/(TN + FP)
0.37
FNR
FN/(TP + FN)
0.01
F1 score
2/(1/Sens + 1/PPV)
0.97
Citation: Byeon H. Developing a nomogram for predicting the depression of senior citizens living alone while focusing on perceived social support. World J Psychiatr 2021; 11(12): 1314-1327