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

Methods and Instruments in Medical Informatics (135) Web-based and Mobile Health Interventions (3357) Statistical Methods (23) Cognitive and Neurorehabilitation (267) Internet for Rehabilitation (76)

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

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  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
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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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  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
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