@inproceedings{da6dc84ba93041e4beb3714b337f8a70,
title = "Analyze WZT Images to Predict the Type of Depression and Dementia in the Elderly Using Deep Learning",
abstract = "Analyzing depression and dementia in the elderly using deep learning based on drawing images created by the elderly in the Wartegg-Zeichentest (WZT) is limited. This study utilized drawing data expressed through the WZT test and employed deep learning to predict depression and dementia in the elderly. The analysis of geriatric diseases using Deep Learning necessitates further information gathering and related research on diseases, with the expectation of creating numerous opportunities in various fields of deep learning.",
keywords = "Convolution Neural Network, deep learning, depression and dementia, prediction, Wartegg-Zeichentest",
author = "Kim, {Kyung Yeul} and Yang, {Young Bo} and Kim, {Mi Ra} and Park, {Ji Su} and Jihie Kim",
note = "Publisher Copyright: {\textcopyright} The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. 2024.; 15th International Conference on Computer Science and its Applications, CSA 2023 and 17th KIPS International Conference on Ubiquitous Information Technologies and Applications, CUTE 2023 ; Conference date: 18-12-2023 Through 20-12-2023",
year = "2024",
doi = "10.1007/978-981-97-2447-5_50",
language = "English",
isbn = "9789819724468",
series = "Lecture Notes in Electrical Engineering",
publisher = "Springer Science and Business Media Deutschland GmbH",
pages = "325--329",
editor = "Park, {Ji Su} and Yang, {Laurence T.} and Yi Pan and Park, {James J.}",
booktitle = "Advances in Computer Science and Ubiquitous Computing - Proceedings of CUTE/CSA 2023",
address = "Germany",
}