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Chanda Simfukwe, SangYun Kim, Seong Soo An & Young Chul Youn. (2022) Neuropsychological test using machine learning for cognitive impairment screening. Applied Neuropsychology: Adult 0:0, pages 1-6.
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Xia Zhong, Jie Yu, Feng Jiang, Haoyu Chen, Zhenyuan Wang, Jing Teng & Huachen Jiao. (2023) A risk prediction model based on machine learning for early cognitive impairment in hypertension: Development and validation study. Frontiers in Public Health 11.
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Muhammad Irfan, Seyed Shahrestani & Mahmoud Elkhodr. (2023) Early Detection of Alzheimer's Disease Using Cognitive Features: A Voting-Based Ensemble Machine Learning Approach. IEEE Engineering Management Review 51:1, pages 16-25.
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Yauhen Statsenko, Tetiana Habuza, Darya Smetanina, Gillian Lylian Simiyu, Liaisan Uzianbaeva, Klaus Neidl-Van Gorkom, Nazar Zaki, Inna Charykova, Jamal Al Koteesh, Taleb M. Almansoori, Maroua Belghali & Milos Ljubisavljevic. (2022) Brain Morphometry and Cognitive Performance in Normal Brain Aging: Age- and Sex-Related Structural and Functional Changes. Frontiers in Aging Neuroscience 13.
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Muhammad Irfan, Seyed Shahrestani & Mahmoud Elkhodr. 2022. Advances in Information, Communication and Cybersecurity. Advances in Information, Communication and Cybersecurity
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Mohammad Nahid Hossain, Mohammad Helal Uddin, K. Thapa, Md Abdullah Al Zubaer, Md Shafiqul Islam, Jiyun Lee, JongSu Park & S.-H. Yang. (2021) Detecting Cognitive Impairment Status Using Keystroke Patterns and Physical Activity Data among the Older Adults: A Machine Learning Approach. Journal of Healthcare Engineering 2021, pages 1-16.
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Akhilesh Vyas, Fotis Aisopos, Maria-Esther Vidal, Peter Garrard & George Paliouras. (2021) Calibrating Mini-Mental State Examination Scores to Predict Misdiagnosed Dementia Patients. Applied Sciences 11:17, pages 8055.
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Allen P F Chen, Sean A P Clouston, Minos Kritikos, Lauren Richmond, Jaymie Meliker, Frank Mann, Stephanie Santiago-Michels, Alison C Pellecchia, Melissa A Carr, Pei-Fen Kuan, Evelyn J Bromet & Benjamin J Luft. (2021) A deep learning approach for monitoring parietal-dominant Alzheimer’s disease in World Trade Center responders at midlife. Brain Communications 3:3.
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Chanda Simfukwe, Seong Soo AnYoung Chul Youn. (2021) Comparison of RCF Scoring System to Clinical Decision for the Rey Complex Figure Using Machine-Learning Algorithm. Dementia and Neurocognitive Disorders 20:4, pages 70.
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Young Chul Youn, Byoung Sub Lee, Gwang Je Kim, Ji Sun Ryu, Kuntaek Lim, Ryan Lee, Jeewon Suh, Young Ho Park, Jung-Min Pyun, Nayoung Ryu, Min Ju Kang, Hye Ryoun Kim, Sungmin Kang, Seong Soo A. An & SangYun Kim. (2020) Blood Amyloid-β Oligomerization as a Biomarker of Alzheimer’s Disease: A Blinded Validation Study. Journal of Alzheimer's Disease 75:2, pages 493-499.
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Jin-Hyuck Park. (2020) Machine-Learning Algorithms Based on Screening Tests for Mild Cognitive Impairment. American Journal of Alzheimer's Disease & Other Dementiasr 35, pages 153331752092716.
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Min Ju Kang, Sang Yun Kim, Duk L. Na, Byeong C. Kim, Dong Won Yang, Eun-Joo Kim, Hae Ri Na, Hyun Jeong Han, Jae-Hong Lee, Jong Hun Kim, Kee Hyung Park, Kyung Won Park, Seol-Heui Han, Seong Yoon Kim, Soo Jin Yoon, Bora Yoon, Sang Won Seo, So Young Moon, YoungSoon Yang, Yong S. Shim, Min Jae Baek, Jee Hyang Jeong, Seong Hye Choi & Young Chul Youn. (2019) Prediction of cognitive impairment via deep learning trained with multi-center neuropsychological test data. BMC Medical Informatics and Decision Making 19:1.
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