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

Mobile Health (mhealth) (5203) mHealth for Symptom and Disease Monitoring, Chronic Disease Management (2388) Depression and Mood Disorders; Suicide Prevention (2481) Digital Biomarkers and Digital Phenotyping (452) Ecological Momentary Assessment (EMA) (515) Chronic Conditions (558)

Published on in Vol 27 (2025)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/70871, first published .
Man in wheelchair drinks from cup held by helper, with laptop on table.

Longitudinal Digital Phenotyping of Multiple Sclerosis Severity Using Passively Sensed Behaviors and Ecological Momentary Assessments: Real-World Evaluation

Longitudinal Digital Phenotyping of Multiple Sclerosis Severity Using Passively Sensed Behaviors and Ecological Momentary Assessments: Real-World Evaluation

Authors of this article:

Zongqi Xia1 Author Orcid Image ;   Prerna Chikersal2 Author Orcid Image ;   Shruthi Venkatesh1 Author Orcid Image ;   Elizabeth Walker1 Author Orcid Image ;   Anind K Dey3 Author Orcid Image ;   Mayank Goel2 Author Orcid Image
Article Authors Cited by (8) Tweetations (1) Metrics

Journals

  1. Vevera A, Ianculescu M, Alexandru A. A Digital Health Platform for Remote and Multimodal Monitoring in Neurodegenerative Diseases. Future Internet 2025;17(12):571 View
  2. Baller E, Cooper E, Schindler M, Bar-Or A, Fox M, Shinohara R, Satterthwaite T. Depression as a Disease of White Matter Network Disruption: Learning From Multiple Sclerosis. Biological Psychiatry 2026;99(12):1088 View
  3. Cobreros-Mielgo R, Seco-Calvo J, Santamaría G, Fernández-Lázaro D. Digital, Remote, and Ecological Assessment of Fatigue/Fatigability, Mobility, and Functional Activity in Multiple Sclerosis: A Scoping Review. Sclerosis 2026;4(2):15 View
  4. Majer M, Taccardi D, Gowdy H, Li V, Zacharias A, Duan Q, Shawawrah M, Wing A, Baharnoori M, Finlayson M, Ghasemlou N. Feasibility of intra-day blood biomarker and ecological momentary assessment collection in multiple sclerosis. Multiple Sclerosis and Related Disorders 2026;114:107426 View
  5. Khaled N, Nousir A, Mohamed M, Ashraf H, Saeed Z, Haytham A, Nazeer Y, Gamal M. Artificial intelligence-based monitoring of multiple sclerosis: A comprehensive survey. Multiple Sclerosis and Related Disorders 2026;114:107446 View
  6. Behal A, Block V, Cree B, Abbasi-Asl R. Diurnal step count patterns in progressive multiple sclerosis. Multiple Sclerosis Journal 2026 View
  7. De Blasiis P, Attena A, Fullin A, De Girolamo C, Carotenuto A, Signoriello E, Brescia Morra V, Lus G, Isgrò F, Moccaldi N, Arpaia P. Passive digital monitoring via mobile apps and wearables in multiple sclerosis: A systematic review. Revue Neurologique 2026 View

Conference Proceedings

  1. D P, A A, N Y, S R, K S, S S. 2026 9th International Conference on Intelligent Computing and Control Systems (ICICCS). Survey on Novel AI/IoT Solution for Monitoring and Early Warning (MS-Alert System) View