This paper is in the following e-collection/theme issue:

Methods and Instruments in Medical Informatics (164) Web-based and Mobile Health Interventions (3625) Statistical Methods (23) Cognitive and Neurorehabilitation (301) Internet for Rehabilitation (85)

Published on in Vol 8, No 10 (2020): October

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/16077, first published .
Personalized Web-Based Cognitive Rehabilitation Treatments for Patients with Traumatic Brain Injury: Cluster Analysis

Personalized Web-Based Cognitive Rehabilitation Treatments for Patients with Traumatic Brain Injury: Cluster Analysis

Personalized Web-Based Cognitive Rehabilitation Treatments for Patients with Traumatic Brain Injury: Cluster Analysis

Authors of this article:

Alejandro Garcia-Rudolph1, 2, 3 Author Orcid Image ;   Alberto Garcia-Molina1, 2, 3 Author Orcid Image ;   Eloy Opisso1, 2, 3 Author Orcid Image ;   Jose Tormos Muñoz1, 2, 3 Author Orcid Image
Article Authors Cited by (17) Tweetations (5) Metrics

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  1. García-Rudolph A, García-Molina A, Opisso E, Tormos J, Madai V, Frey D, Bernabeu M. Neuropsychological Assessments of Patients With Acquired Brain Injury: A Cluster Analysis Approach to Address Heterogeneity in Web-Based Cognitive Rehabilitation. Frontiers in Neurology 2021;12 View
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  5. Du G, Ren C, Wang J, Ma J, Lu L. The Clinical Value of Blood miR-654-5p, miR-126, miR-10b, and miR-144 in the Diagnosis of Colorectal Cancer. Computational and Mathematical Methods in Medicine 2022;2022:1 View
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  10. Moya A, Pretel E, Navarro E, Jaén J. A systematic literature review of clustering techniques for patients with traumatic brain injury. Artificial Intelligence Review 2023;56(S1):351 View
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  12. Kim D, Jiang T, Baek J, Jang S, Zhu Y. Understanding and comparing risk factors and subtypes in South Korean adult and adolescent women's suicidal ideation or suicide attempt using survey and social media data. DIGITAL HEALTH 2024;10 View
  13. Medenica V, Ivanovic L, Milosevic N. Applicability of artificial intelligence in neuropsychological rehabilitation of patients with brain injury. Applied Neuropsychology: Adult 2024:1 View
  14. Li X, Zhang L, Li Q, Zhang J, Qin X. Construction of prediction models for novel subtypes in patients with arteriosclerosis obliterans undergoing endovascular therapy: an unsupervised machine learning study. Journal of Cardiothoracic Surgery 2024;19(1) View
  15. Zhang L, Yang H, Zhou C, Li Y, Long Z, Li Q, Zhang J, Qin X. Artificial intelligence-driven multiomics predictive model for abdominal aortic aneurysm subtypes to identify heterogeneous immune cell infiltration and predict disease progression. International Immunopharmacology 2024;138:112608 View
  16. Serra L, Juan P, Díaz-Avalos C, Aragó P, Chaudhuri S, Trilles S. Classification of wildfires in relation to land cover types and associated variables by applying cluster analysis: a case study in the Iberian Peninsula. Environmental Monitoring and Assessment 2025;197(6) View

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  1. Alonso S, de Abajo B, de la Torre Diez I, Vargas G, Martin M. 2021 16th Iberian Conference on Information Systems and Technologies (CISTI). Using a Computer-Based Program to Treat Neurocognitive Deficit Disorders in Spanish Population View