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Cognitive development continues throughout adulthood, undergoing significant shifts across early, middle, and late stages. Individual transition occurs from adolescent idealism to pragmatic and adaptable thinking in early adulthood. During this period, individuals learn to integrate personal beliefs with the recognition that other perspectives are equally valid. Exposure to the complexities of modern society, diverse experiences, and higher education contribute to this adaptive thought process,...
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CareD: Caregiver's Experience with Cognitive Decline in Reddit Posts.

Muskan Garg1, Sunghwan Sohn1

  • 1Artificial Intelligence and Informatics, Mayo Clinic, Rochester, MN, USA.

Proceedings. IEEE International Conference on Healthcare Informatics
|February 22, 2024
PubMed
Summary
This summary is machine-generated.

Researchers created a new dataset of 1005 Reddit posts, Caregivers experiences with cognitive Decline (CareD), to analyze discussions on dementia and Alzheimer's disease. This dataset offers insights into caregiver experiences and patient information.

Keywords:
Alzheimer’s diseasecognitive impairmentdementiaexperiencessocial media analysis

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Area of Science:

  • Computational linguistics
  • Social computing
  • Gerontology

Background:

  • Social media platforms are increasingly used by caregivers of individuals with cognitive decline.
  • Analyzing this data presents challenges in dataset diversity, data ethics, and clinical relevance.

Purpose of the Study:

  • To construct a novel dataset, Caregivers experiences with cognitive Decline (CareD), from Reddit discussions.
  • To explore trends in social media discourse surrounding cognitive decline, dementia, and Alzheimer's disease.
  • To identify latent symptoms, firsthand accounts, and potential longitudinal patient information from caregiver posts.

Main Methods:

  • Collected 1005 Reddit posts (over 194K words) related to dementia and Alzheimer's disease.
  • Developed annotation guidelines to identify caregiver experiences, self-reported articles, and patient information.
  • Analyzed posts to discover latent symptoms, firsthand information, and prospective longitudinal data.

Main Results:

  • The CareD dataset comprises 1005 posts with 194,000+ words and 9,541 sentences.
  • Identified discussions reflecting caregiver experiences, patient symptoms, and potential longitudinal data.
  • Highlighted trends and challenges in analyzing social media data for cognitive decline research.

Conclusions:

  • The CareD dataset provides a valuable resource for studying cognitive decline discussions online.
  • Social media analysis offers potential for discovering patient symptoms and caregiver insights.
  • Further research is needed to address NLP and social computing challenges in this domain.