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

Medicine 2.0: Social Media, Open, Participatory, Collaborative Medicine (1570)

Published on in Vol 15, No 1 (2013): January

Quantifying Short-Term Dynamics of Parkinson’s Disease Using Self-Reported Symptom Data From an Internet Social Network

Quantifying Short-Term Dynamics of Parkinson’s Disease Using Self-Reported Symptom Data From an Internet Social Network

Quantifying Short-Term Dynamics of Parkinson’s Disease Using Self-Reported Symptom Data From an Internet Social Network

Authors of this article:

Max Little1 ;   Paul Wicks2 ;   Timothy Vaughan2 ;   Alex Pentland1
Article Authors Cited by (30) Tweetations (24) Metrics

Journals

  1. Richardson J, Reid M. The Promises and Pitfalls of Leveraging Mobile Health Technology for Pain Care: Table 1. Pain Medicine 2013;14(11):1621 View
  2. Giancardo L, Sánchez-Ferro A, Arroyo-Gallego T, Butterworth I, Mendoza C, Montero P, Matarazzo M, Obeso J, Gray M, Estépar R. Computer keyboard interaction as an indicator of early Parkinson’s disease. Scientific Reports 2016;6(1) View
  3. Chahine L, Chin I, Caspell-Garcia C, Standaert D, Brown E, Smolensky L, Arnedo V, Daeschler D, Riley L, Korell M, Dobkin R, Amondikar N, Gradinscak S, Shoulson I, Dean M, Kwok K, Cannon P, Marek K, Kopil C, Tanner C, Marras C. Comparison of an Online-Only Parkinson’s Disease Research Cohort to Cohorts Assessed In Person. Journal of Parkinson's Disease 2020;10(2):677 View
  4. Gómez-Vilda P, Palacios-Alonso D, Rodellar-Biarge V, Álvarez-Marquina A, Nieto-Lluis V, Martínez-Olalla R. Parkinson's disease monitoring by biomechanical instability of phonation. Neurocomputing 2017;255:3 View
  5. Jackson M, Bex P, Ellison J, Wicks P, Wallis J. Feasibility of a Web-Based Survey of Hallucinations and Assessment of Visual Function in Patients With Parkinson’s Disease. interactive Journal of Medical Research 2014;3(1):e1 View
  6. Chen D, Zhang R, Feng J, Liu K. Fulfilling information needs of patients in online health communities. Health Information & Libraries Journal 2020;37(1):48 View
  7. Wicks P, Stamford J, Grootenhuis M, Haverman L, Ahmed S. Innovations in e-health. Quality of Life Research 2014;23(1):195 View
  8. Liddle J, Ireland D, McBride S, Brauer S, Hall L, Ding H, Karunanithi M, Hodges P, Theodoros D, Silburn P, Chenery H. Measuring the Lifespace of People With Parkinson’s Disease Using Smartphones: Proof of Principle. JMIR mhealth and uhealth 2014;2(1):e13 View
  9. Nyman E, Vaughan T, Desta B, Wang X, Barut V, Emmas C. Characteristics and Symptom Severity of Patients Reporting Systemic Lupus Erythematosus in the PatientsLikeMe Online Health Community: A Retrospective Observational Study. Rheumatology and Therapy 2020;7(1):201 View
  10. Brajovic S, Blaser D, Zisk M, Caligtan C, Okun S, Hall M, Pamer C. Validating a Framework for Coding Patient-Reported Health Information to the Medical Dictionary for Regulatory Activities Terminology: An Evaluative Study. JMIR Medical Informatics 2018;6(3):e42 View
  11. Romano M, Sardella M, Alboni F. Web Health Monitoring Survey: A New Approach to Enhance the Effectiveness of Telemedicine Systems. JMIR Research Protocols 2016;5(2):e101 View
  12. Wannheden C, Revenäs Å. How People with Parkinson's Disease and Health Care Professionals Wish to Partner in Care Using eHealth: Co-Design Study. Journal of Medical Internet Research 2020;22(9):e19195 View
  13. Schroeder E, Desai J, Schmittdiel J, Paolino A, Schneider J, Goodrich G, Lawrence J, Newton K, Nichols G, O'Connor P, Fitz-Randolph M, Steiner J. An Innovative Approach to Informing Research: Gathering Perspectives on Diabetes Care Challenges From an Online Patient Community. interactive Journal of Medical Research 2015;4(2):e13 View
  14. van der Eijk M, Faber M, Aarts J, Kremer J, Munneke M, Bloem B. Using Online Health Communities to Deliver Patient-Centered Care to People With Chronic Conditions. Journal of Medical Internet Research 2013;15(6):e115 View
  15. Zhang H, Xu C, Li H, Rathore A, Song C, Yan Z, Li D, Lin F, Wang K, Xu W. PDMove. Proceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies 2019;3(3):1 View
  16. Stillerova T, Liddle J, Gustafsson L, Lamont R, Silburn P. Remotely Assessing Symptoms of Parkinson’s Disease Using Videoconferencing: A Feasibility Study. Neurology Research International 2016;2016:1 View
  17. Palacios-Alonso D, Melendez-Morales G, Lopez-Arribas A, Lazaro-Carrascosa C, Gomez-Rodellar A, Gomez-Vilda P. MonParLoc: A Speech-Based System for Parkinson’s Disease Analysis and Monitoring. IEEE Access 2020;8:188243 View
  18. Stillerova T, Liddle J, Gustafsson L, Lamont R, Silburn P. Could everyday technology improve access to assessments? A pilot study on the feasibility of screening cognition in people with Parkinson's disease using the Montreal Cognitive Assessment via Internet videoconferencing. Australian Occupational Therapy Journal 2016;63(6):373 View
  19. Perakslis E, Shon J. Translational Informatics in Personalized Medicine: An Update for 2014. Personalized Medicine 2014;11(3):339 View
  20. Xu X, Zeng Z, Qi Y, Ren K, Zhang C, Sun B, Li D. Remote video-based outcome measures of patients with Parkinson’s disease after deep brain stimulation using smartphones: a pilot study. Neurosurgical Focus 2021;51(5):E2 View
  21. Lai H, Sodini C, Sze V, Heldt T. Individualized Tracking of Neurocognitive-State-Dependent Eye-Movement Features Using Mobile Devices. Proceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies 2023;7(1):1 View
  22. Teixeira-dos-Santos D, Camelo D, Strelow M, Silva M, Führ P, Marins L, Schumacher Schuh A. Feasibility for evaluating motor aspects of Parkinson's disease through video consultations in a resource-limited setting in Southern Brazil. Arquivos de Neuro-Psiquiatria 2023;81(05):444 View
  23. Lu Y, Wang X, Su L, Zhao H. Multiplex Social Network Analysis to Understand the Social Engagement of Patients in Online Health Communities. Mathematics 2023;11(21):4412 View

Books/Policy Documents

  1. Gómez-Vilda P, Álvarez-Marquina A, Tsanas A, Lázaro-Carrascosa C, Rodellar-Biarge V, Nieto-Lluis V, Martínez-Olalla R. Recent Advances in Nonlinear Speech Processing. View
  2. Gómez-Vilda P, Vicente-Torcal M, Ferrández-Vicente J, Álvarez-Marquina A, Rodellar-Biarge V, Nieto-Lluis V, Martínez-Olalla R. Artificial Computation in Biology and Medicine. View