ArticleJournal of the American Medical Informatics Association : JAMIA2015
The mobilize center: an NIH big data to knowledge center to advance human movement research and improve mobility.
Article in Journal of the American Medical Informatics Association : JAMIA, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
14 citing papers in PubMed, 28 citations in OpenAlex.
- Digital Therapeutics and Blended Care in Major Depressive Disorder: Current Evidence and Future Directions.Advances in experimental medicine and biology · 2026Review
- Estimation of Gross Motor Functions in Children with Cerebral Palsy Using Zebris FDM-T Treadmill.Journal of clinical medicine · 2022Article
- Mobile Health: making the leap to research and clinics.NPJ digital medicine · 2021Article
- The emerging clinical role of wearables: factors for successful implementation in healthcare.NPJ digital medicine · 2021Review
- Acceleration Gait Measures as Proxies for Motor Skill of Walking: A Narrative Review.IEEE transactions on neural systems and rehabilitation engineering : a publication of the IEEE Engineering in Medicine and Biology Society · 2021Review
- The Sensor-Based Biomechanical Risk Assessment at the Base of the Need for Revising of Standards for Human Ergonomics.Sensors (Basel, Switzerland) · 2020Article
- Soft tissue artifact causes underestimation of hip joint kinematics and kinetics in a rigid-body musculoskeletal model.Journal of biomechanics · 2020Article
- Biomedical REAl-Time Health Evaluation (BREATHE): toward an mHealth informatics platform.JAMIA open · 2020Article
- Snorkel: rapid training data creation with weak supervision.The VLDB journal : very large data bases : a publication of the VLDB Endowment · 2020Article
- Snorkel: Rapid Training Data Creation with Weak Supervision.Proceedings of the VLDB Endowment. International Conference on Very Large Data Bases · 2017Article
- Soft tissue artifact causes significant errors in the calculation of joint angles and range of motion at the hip.Gait & posture · 2017Article
- Gait biomechanics in the era of data science.Journal of biomechanics · 2016Article
- Longitudinal Patterns of Glycemic Control and Blood Pressure in Pregnant Women with Type 1 Diabetes Mellitus: Phenotypes from Functional Data Analysis.American journal of perinatology · 2016Article
- The Quantified Brain: A Framework for Mobile Device-Based Assessment of Behavior and Neurological Function.Applied clinical informatics · 2016Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
6 authors at 1 institution in 1 country.
Funding
Abstract
Regular physical activity helps prevent heart disease, stroke, diabetes, and other chronic diseases, yet a broad range of conditions impair mobility at great personal and societal cost. Vast amounts of data characterizing human movement are available from research labs, clinics, and millions of smartphones and wearable sensors, but integration and analysis of this large quantity of mobility data are extremely challenging. The authors have established the Mobilize Center (http://mobilize.stanford.edu) to harness these data to improve human mobility and help lay the foundation for using data science methods in biomedicine. The Center is organized around 4 data science research cores: biomechanical modeling, statistical learning, behavioral and social modeling, and integrative modeling. Important biomedical applications, such as osteoarthritis and weight management, will focus the development of new data science methods. By developing these new approaches, sharing data and validated software tools, and training thousands of researchers, the Mobilize Center will transform human movement research.
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.