Published on in Vol 19, No 9 (2017): September

Internet Searches and Their Relationship to Cognitive Function in Older Adults: Cross-Sectional Analysis

Internet Searches and Their Relationship to Cognitive Function in Older Adults: Cross-Sectional Analysis

Internet Searches and Their Relationship to Cognitive Function in Older Adults: Cross-Sectional Analysis

Journals

  1. Woods S, Kordovski V, Tierney S, Babicz M. The neuropsychological aspects of performance-based Internet navigation skills: A brief review of an emerging literature. The Clinical Neuropsychologist 2019;33(2):305 View
  2. Soufian M, Nefti-Mezian S, Drake J. Toward Kinecting cognition by behaviour recognition-based deep learning and big data. Universal Access in the Information Society 2022;21(1):33 View
  3. Kordovski V, Babicz M, Ulrich N, Woods S. Neurocognitive Correlates of Internet Search Skills for eHealth Fact and Symptom Information in a Young Adult Sample. Perceptual and Motor Skills 2020;127(5):960 View
  4. Piau A, Wild K, Mattek N, Kaye J. Current State of Digital Biomarker Technologies for Real-Life, Home-Based Monitoring of Cognitive Function for Mild Cognitive Impairment to Mild Alzheimer Disease and Implications for Clinical Care: Systematic Review. Journal of Medical Internet Research 2019;21(8):e12785 View
  5. Vanoh D, Shahar S, Razali R, Ali N, Manaf Z, Mohd Noah S, Nur A, Anstey K, Peters R. The Effectiveness of a Web-Based Health Education Tool, WESIHAT 2.0, among Older Adults: A Randomized Controlled Trial. Journal of Alzheimer's Disease 2019;70(s1):S255 View
  6. Shu S, Woo B. Use of technology and social media in dementia care: Current and future directions. World Journal of Psychiatry 2021;11(4):109 View
  7. Bernstein J, Dorociak K, Mattek N, Leese M, Beattie Z, Kaye J, Hughes A. Passively-Measured Routine Home Computer Activity and Application Use Can Detect Mild Cognitive Impairment and Correlate with Important Cognitive Functions in Older Adulthood. Journal of Alzheimer's Disease 2021;81(3):1053 View
  8. Shaklai S, Gilad-Bachrach R, Yom-Tov E, Stern N. Detecting Impending Stroke From Cognitive Traits Evident in Internet Searches: Analysis of Archival Data. Journal of Medical Internet Research 2021;23(5):e27084 View
  9. Josephy-Hernandez S, Norise C, Han J, Smith K. Survey on Acceptance of Passive Technology Monitoring for Early Detection of Cognitive Impairment. Digital Biomarkers 2020;5(1):9 View
  10. Ferrario A, Luo M, Polsinelli A, Moseley S, Mehl M, Yordanova K, Martin M, Demiray B. Predicting Working Memory in Healthy Older Adults Using Real-Life Language and Social Context Information: A Machine Learning Approach. JMIR Aging 2022;5(1):e28333 View
  11. Kordovski V, Tierney S, Rahman S, Medina L, Babicz M, Yoshida H, Holcomb E, Cushman C, Woods S. Older age and online health information search behaviors: The mediating influence of executive functions. Journal of Clinical and Experimental Neuropsychology 2021;43(7):689 View
  12. Cook D, Schmitter-Edgecombe M, Jonsson L, Morant A. Technology-Enabled Assessment of Functional Health. IEEE Reviews in Biomedical Engineering 2019;12:319 View
  13. Beattie Z, Miller L, Almirola C, Au-Yeung W, Bernard H, Cosgrove K, Dodge H, Gamboa C, Golonka O, Gothard S, Harbison S, Irish S, Kornfeld J, Lee J, Marcoe J, Mattek N, Quinn C, Reynolds C, Riley T, Rodrigues N, Sharma N, Siqueland M, Thomas N, Truty T, Wall R, Wild K, Wu C, Karlawish J, Silverberg N, Barnes L, Czaja S, Silbert L, Kaye J. The Collaborative Aging Research Using Technology Initiative: An Open, Sharable, Technology-Agnostic Platform for the Research Community. Digital Biomarkers 2020;4(Suppl. 1):100 View
  14. Yom‐Tov E, Navar I, Fraenkel E, Berry J. Identifying amyotrophic lateral sclerosis through interactions with an internet search engine. Muscle & Nerve 2024;69(1):40 View

Books/Policy Documents

  1. Hantke N, O’Hara R, Beaudreau S, Etkin A. Handbook of Mental Health and Aging. View
  2. Gwizdka J, Tessmer R, Chan Y, Radhakrishnan K, Henry M. Information Systems and Neuroscience. View