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

Medicine 2.0: Social Media, Open, Participatory, Collaborative Medicine (1785)
Mining Online Social Network Data for Biomedical Research: A Comparison of Clinicians’ and Patients’ Perceptions About Amyotrophic Lateral Sclerosis Treatments

Mining Online Social Network Data for Biomedical Research: A Comparison of Clinicians’ and Patients’ Perceptions About Amyotrophic Lateral Sclerosis Treatments

Mining Online Social Network Data for Biomedical Research: A Comparison of Clinicians’ and Patients’ Perceptions About Amyotrophic Lateral Sclerosis Treatments

Authors of this article:

Carlos Nakamura1 ;   Mark Bromberg2 ;   Shivani Bhargava3 ;   Paul Wicks3 Author Orcid Image ;   Qing Zeng-Treitler1 Author Orcid Image
Article Authors Cited by (21) Tweetations (19) Metrics

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  11. Hartzler A, Taylor M, Park A, Griffiths T, Backonja U, McDonald D, Wahbeh S, Brown C, Pratt W. Leveraging cues from person-generated health data for peer matching in online communities. Journal of the American Medical Informatics Association 2016;23(3):496 View
  12. Hüning K, Weydt P, Hesse M, Ates G, Cuhls H, Radbruch L. Pharmakologische und nicht pharmakologische Symptomtherapie bei amyotropher Lateralsklerose. Nervenheilkunde 2020;39(12):791 View
  13. Samara V, Jerant P, Gibson S, Bromberg M. Bowel, bladder, and sudomotor symptoms in ALS patients. Journal of the Neurological Sciences 2021;427:117543 View
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  15. Chiò A, Canosa A, Calvo A, Moglia C, Cicolin A, Mora G. Developments in the assessment of non-motor disease progression in amyotrophic lateral sclerosis. Expert Review of Neurotherapeutics 2021;21(12):1419 View
  16. Xu T, Ma Y, Pan T, Chen Y, Liu Y, Zhu F, Zhou Z, Chen Q. Visual Analytics of Multidimensional Oral Health Surveys: Data Mining Study. JMIR Medical Informatics 2023;11:e46275 View

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Conference Proceedings

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