Predicting Adherence to Computer-Based Cognitive Training Programs Among Older Adults: Study of Domain Adaptation and Deep Learning.

Journal: JMIR aging
PMID: 39283346

Abstract

BACKGROUND: Cognitive impairment and dementia pose a significant challenge to the aging population, impacting the well-being, quality of life, and autonomy of affected individuals. As the population ages, this will place enormous strain on health care and economic systems. While computerized cognitive training programs have demonstrated some promise in addressing cognitive decline, adherence to these interventions can be challenging.

Authors

  • Ankita Singh
    Department of Computer Science, Florida State University, Tallahassee, FL, United States.
  • Shayok Chakraborty
  • Zhe He
    School of Information, Florida State University, Tallahassee, FL, USA.
  • Yuanying Pang
    School of Information, Florida State University, Tallahassee, FL, United States.
  • Shenghao Zhang
    Tencent Robotics X, Shenzhen 518057, China.
  • Ronast Subedi
    Nepal Applied Mathematics and Informatics Institute for research (NAAMII), Nepal.
  • Mia Liza Lustria
    School of Information, Florida State University, Tallahassee, FL, United States.
  • Neil Charness
    Department of Psychology, Florida State University, Tallahassee, FL, United States.
  • Walter Boot
    Division of Geriatrics and Palliative Medicine, Weill Cornell Medicine, New York, NY, United States.

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