{"title":"Analyzing patterns of frequent mental distress in Alzheimer's patients: A generative AI approach.","authors":"Yoshiyasu Takefuji","doi":"10.1016/j.jnma.2025.01.002","DOIUrl":null,"url":null,"abstract":"<p><p>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.</p>","PeriodicalId":94375,"journal":{"name":"Journal of the National Medical Association","volume":" ","pages":""},"PeriodicalIF":0.0000,"publicationDate":"2025-02-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Journal of the National Medical Association","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1016/j.jnma.2025.01.002","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
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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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