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Cited by in CrossRef
For: Byeon H. Screening dementia and predicting high dementia risk groups using machine learning. World J Psychiatry 2022; 12(2): 204-211 [PMID: 35317343 DOI: 10.5498/wjp.v12.i2.204]
URL: https://www.wjgnet.com/2220-3206/full/v12/i2/204.htm
Number Citing Articles
1
Kadir Uludag. Clinical Practice and Unmet Challenges in AI-Enhanced Healthcare SystemsAdvances in Medical Technologies and Clinical Practice 2024; : 207 doi: 10.4018/979-8-3693-2703-6.ch011
2
Samuel O. Danso, Sindhu Prattipati, Ibrahim Alqatawneh, Georgios Ntailianis. Exploration of Machine Learning and Deep Learning Architectures for Dementia Risk Prediction Based on ATN Framework2024 29th International Conference on Automation and Computing (ICAC) 2024; : 1 doi: 10.1109/ICAC61394.2024.10718816
3
Paul E. Rapp, Christopher Cellucci, David Darmon, David Keyser. Cautionary Observations Concerning the Introduction of Psychophysiological Biomarkers into Neuropsychiatric PracticePsychiatry International 2022; 3(2): 181 doi: 10.3390/psychiatryint3020015
4
Silvia Ottaviani, Fiammetta Monacelli. Rethinking Dementia Risk Prediction: A Critical Evaluation of a Multimodal Machine Learning Predictive ModelJournal of Alzheimer's Disease 2024; 97(3): 1097 doi: 10.3233/JAD-231071
5
Haewon Byeon. Innovative approaches to managing chronic multimorbidity: A multidisciplinary perspectiveWorld Journal of Clinical Cases 2025; 13(19): 102484 doi: 10.12998/wjcc.v13.i19.102484
6
Swati Gupta, Jolly Parikh, Rachna Jain, Namit Kashi, Piyush Khurana, Janya Mehta, Jude Hemanth. Dementia detection using parameter optimization for multimodal datasetsIntelligent Decision Technologies 2024; 18(1): 343 doi: 10.3233/IDT-230532