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

Methods and Instruments in Medical Informatics (126) Web-based and Mobile Health Interventions (3297) Statistical Methods (23) Cognitive and Neurorehabilitation (262) Internet for Rehabilitation (75)

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 (16) Tweetations (5) Metrics

Journals

  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
  2. Zhou Q, Liu J, Xin L, Fang Y, Wan L, Huang D, Guo J, Wen J, Wang B, Rodrigues E. Exploratory Compatibility Regularity of Traditional Chinese Medicine on Osteoarthritis Treatment: A Data Mining and Random Walk-Based Identification. Evidence-Based Complementary and Alternative Medicine 2021;2021:1 View
  3. Sun Y, Zhang Q, Yang Q, Yao M, Xu F, Chen W. Screening of Gene Expression Markers for Corona Virus Disease 2019 Through Boruta_MCFS Feature Selection. Frontiers in Public Health 2022;10 View
  4. Chen X, Cheng G, Wang F, Tao X, Xie H, Xu L. Machine and cognitive intelligence for human health: systematic review. Brain Informatics 2022;9(1) View
  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
  6. Xiong Z, Huang W, Zhong W, Fu J, Feng J, Wang X, Ling F. Breast Cancer Subtypes Based on Hypoxia-Related Gene Sets Identify Potential Therapeutic Agents. Frontiers in Molecular Biosciences 2022;9 View
  7. Li Z, Wang S, Zhao H, Yan P, Yuan H, Zhao M, Wan R, Yu G, Wang L. Artificial neural network identified the significant genes to distinguish Idiopathic pulmonary fibrosis. Scientific Reports 2023;13(1) View
  8. Golubev A. Personalized Critical Care Medicine (Review). General Reanimatology 2022;18(4):45 View
  9. Kim J, Nath K, Schmidlin K, Schaufelberger H, Quattropani C, Vannini S, Mossi S, Thumshirn M, Manz M, Litichevskiy L, Fan J, Dmitrieva-Posocco O, Li M, Levy M, Schär P, Zwahlen M, Thaiss C, Truninger K. Hierarchical contribution of individual lifestyle factors and their interactions on adenomatous and serrated polyp risk. Journal of Gastroenterology 2023;58(9):856 View
  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
  11. Boschetti A, Maida E, Dini M, Tacchini M, Gamberini G, Comi G, Leocani L. A Review on the Feasibility and Efficacy of Home-Based Cognitive Remediation in People with Multiple Sclerosis. Journal of Clinical Medicine 2024;13(7):1916 View
  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