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Exploring the Association Between Caregiving Activities and Neuropsychological Disorders: Deep Learning Model and Emerging Solutions
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Author(s): Usharani Bhimavarapu (Department of Computer Science and Engineering, Koneru Lakshmaiah Education Foundation, India)
Copyright: 2025
Pages: 26
Source title:
Transforming Neuropsychology and Cognitive Psychology With AI and Machine Learning
Source Author(s)/Editor(s): Rohit Bansal (Stanford Institute of Management and Technology, Australia), Tariq Maqableh (Charles Sturt University, Australia), Gunjan Shuklaa (SICA College, Indore, India), Fazla Rabby (Stanford Institute of Management and Technology, Australia)and Remya Lathabhavan (Indian Institute of Management, Bodh Gaya, India)
DOI: 10.4018/979-8-3693-9341-3.ch017
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Abstract
Neuropsychological disorders, such as dementia and other cognitive impairments, pose significant challenges not only to patients but also to their caregivers. As the prevalence of these disorders increases globally, the demand for caregiving support has escalated, highlighting the critical role of caregivers in managing both the physical and emotional needs of affected individuals. This study explores the physical health, mental health, caregiving behaviors, and health indicators among caregivers, differentiating between high- and low-intensity caregiving groups. The research employed a mixed-methods approach that included both qualitative face-to-face interviews and quantitative standardized questionnaires. The study involved 32 caregivers with an average age of 68 years. The main objectives were to compare the frequency and intensity of caregiving activities, assess caregivers' physical and mental health status, and identify significant health behaviors associated with caregiving intensity.
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