@inproceedings{f7ae82a2158e4a41b4e8f692291d74d7,
title = "Detection of Dementia Signals from Longitudinal Clinical Visits Using One-Class Classification",
abstract = "Dementia is one of the major health challenges in aging populations, with 50 million people diagnosed worldwide. However, dementia is often underdiagnosed or delayed resulting in missed opportunities for appropriate care plans. Identifying early signs of dementia is essential for better life quality of aging populations. Monitoring early signs of individual health changes could help clinicians diagnose dementia in its early stages with more effective treatment plans. However, rare data for dementia cases compared to the normal (i.e., imbalance class distribution) make it challenging to develop robust supervised learning models. In order to alleviate this issue, we investigated one-class classification (OCC) techniques, which use only majority class (i.e., normal cases) in model development to detect dementia signals from older adult clinical visits. The OCC models identify abnormality of older adults' longitudinal health conditions to predict incident dementia. The predictive performance of the OCC was compared with a recent streaming clustering-based technique and demonstrated higher predictive power. Our analysis showed that OCC has a promising potential to increase power in predicting dementia.",
keywords = "Dementia, deep learning, machine learning, one-class classification, outlier detection",
author = "Ibrahim, {Omar A.} and Sunyang Fu and Maria Vassilaki and Mielke, {Michelle M.} and Sauver, {Jennifer St} and Petersen, {Ronald C.} and Sunghwan Sohn",
note = "Publisher Copyright: {\textcopyright} 2022 IEEE.; 10th IEEE International Conference on Healthcare Informatics, ICHI 2022 ; Conference date: 11-06-2022 Through 14-06-2022",
year = "2022",
doi = "10.1109/ICHI54592.2022.00040",
language = "English (US)",
series = "Proceedings - 2022 IEEE 10th International Conference on Healthcare Informatics, ICHI 2022",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
pages = "211--216",
booktitle = "Proceedings - 2022 IEEE 10th International Conference on Healthcare Informatics, ICHI 2022",
}