Accelerated clinical discovery using self-reported patient data collected online and a patient-matching algorithm

By P. Wicks, Timothy E Vaughan, M. Massagli, James Heywood. Nature Biotechnology, 2011

343 citations recorded by the source corpus.

Subfields: Genetics, Molecular Biology, Neurology

View Paper: https://www.semanticscholar.org/paper/4150d79cd20de734a4f82b3c1d993f0dc0cf4dd1

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Citations in the corpus

Best Care at Lower Cost: The Path to Continuously Learning Health Care in America (2013, methodology): “This research method, even with its drawbacks, has several advantages, including speed of data collection, low cost, patient engagement, the availability of control participants, and ease of patient access (Wicks et al., 2011).”
The next generation of evidence-based medicine (2023, positive): “For example, researchers developed an algorithm to dissect the data reported on the PatientsLikeMe website by people with amyotrophic lateral sclerosis who experimented with lithium carbonate treatment 84 .”
The influence of social networking sites on health behavior change: a systematic review and meta-analysis (2015, background): “At the individual level, they are able to facilitate access to health-related information and social support,(7,17) promoting better-informed treatment decisions.(18,19) Given that lifestyle behaviors are”
Editorial Overview---The Role of Information Systems in Healthcare: Current Research and Future Trends (2011, neutral): “com (Wicks et al. 2011))?”
Mining electronic health records: towards better research applications and clinical care (2012, background): “As a special case of today’s data sharing trend, online health resources such as PatientsLikeMe allow patients to share detailed health and treatment information, which again is providing a novel data source for cross-cohort studies 105 .”
Pharmacovigilance from social media: mining adverse drug reaction mentions using sequence labeling with word embedding cluster features (2015, background): “…information has recently encouraged researchers to explore other resources for drug-safety information extraction including various health social networking sites, such as DS, 11,25,26 PatientsLikeMe, 27,28 and MedHelp; 29 generic social networks such as Twitter; 8,9,30 and users’ web search logs.”