• J Natl Med Assoc · Feb 2025

    Analyzing patterns of frequent mental distress in Alzheimer's patients: A generative AI approach.

    • Yoshiyasu Takefuji.
    • Faculty of Data Science, Musashino University, 3-3-3 Ariake Koto-ku, Tokyo 135-8181, Japan. Electronic address: takefuji@keio.jp.
    • J Natl Med Assoc. 2025 Feb 8.

    AbstractThis 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.Copyright © 2025 National Medical Association. Published by Elsevier Inc. All rights reserved.

      Pubmed     Copy Citation     Plaintext  

      Add institutional full text...

    Notes

     
    Knowledge, pearl, summary or comment to share?
    300 characters remaining
    help        
    You can also include formatting, links, images and footnotes in your notes
    • Simple formatting can be added to notes, such as *italics*, _underline_ or **bold**.
    • Superscript can be denoted by <sup>text</sup> and subscript <sub>text</sub>.
    • Numbered or bulleted lists can be created using either numbered lines 1. 2. 3., hyphens - or asterisks *.
    • Links can be included with: [my link to pubmed](http://pubmed.com)
    • Images can be included with: ![alt text](https://bestmedicaljournal.com/study_graph.jpg "Image Title Text")
    • For footnotes use [^1](This is a footnote.) inline.
    • Or use an inline reference [^1] to refer to a longer footnote elseweher in the document [^1]: This is a long footnote..

    hide…