Holistic Approaches to Monitoring Dementia Progression Beyond Cognitive Measures

Bimsara Dinura Jayasena, Rashmi Tharindya Dahanayaka, Jenny Krishara, Nithya Ravishini Abeysinghe, Janith Buddhika and Mihiri Samaraweera
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Bimsara Dinura Jayasena: Faculty of Computing- Department of Software Engineering, Sri Lanka Institute of Information Technology, Malabe, Sri Lanka
Rashmi Tharindya Dahanayaka: Faculty of Computing, Sri Lanka Institute of Information Technology, Malabe, Sri Lanka
Jenny Krishara: Faculty of Computing, Sri Lanka Institute of Information Technology, Malabe, Sri Lanka
Nithya Ravishini Abeysinghe: Faculty of Computing, Sri Lanka Institute of Information Technology, Malabe, Sri Lanka
Janith Buddhika: Faculty of Computing, Sri Lanka Institute of Information Technology, Malabe, Sri Lanka
Mihiri Samaraweera: Faculty of Computing, Sri Lanka Institute of Information Technology, Malabe, Sri Lanka

International Journal of Research and Innovation in Social Science, 2024, vol. 8, issue 11, 1414-1422

Abstract: This research aims to advance the diagnosis and management of vascular dementia by integrating machine learning and natural language processing into traditional diagnostic frameworks. The enhanced system targets the early detection of vascular dementia, a condition often overlooked by current neuropsychological tests. Unlike conventional methods, this proposed system provides continuous monitoring and real-time data analysis, enabling dynamic disease management. This approach not only increases diagnostic accuracy but also allows for timely interventions that could significantly alter disease progression and improve patient outcomes. Additionally, the system’s capability for personalized care helps tailor treatment plans to individual patient needs, optimizing therapeutic efficacy. The research also explores the potential for reducing healthcare costs through early diagnosis and efficient resource management. Overall, this study contributes to the field by offering innovative solutions that could revolutionize dementia research and treatment, potentially leading to broader applications for various cognitive disorders.

Date: 2024
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