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Analyzing patterns of frequent mental distress in Alzheimer's patients: A generative AI approach
1Faculty of Data Science, Musashino University, 3-3-3 Ariake Koto-ku, Tokyo 135-8181, Japan.
Abstract:
This study tackles creating Python code for beginners with generative AI and analyzing trends in mental distress among Alzheimer's patients in the US (2015-2022 CDC data). It guides beginners through using AI to generate code for visualizing these trends by age and sex. The findings reveal females, particularly those 50-64 years old, experience the highest rates of mental distress. This emphasizes the importance of considering age and sex when developing care and interventions for mental distress in Alzheimer's patients.
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