no code implementations • 17 Sep 2020 • Maulik R. Kamdar, Michael Carroll, Will Dowling, Linda Wogulis, Cailey Fitzgerald, Matt Corkum, Danielle Walsh, David Conrad, Craig E. Stanley, Jr., Steve Ross, Dru Henke, Mevan Samarasinghe
Clinicians face several significant barriers to search and synthesize accurate, succinct, updated, and trustworthy medical information from several literature sources during the practice of medicine and patient care.
1 code implementation • 7 Jun 2020 • Maulik R. Kamdar, Mark A. Musen
While the biomedical community has published several "open data" sources in the last decade, most researchers still endure severe logistical and technical challenges to discover, query, and integrate heterogeneous data and knowledge from multiple sources.
no code implementations • 27 May 2019 • Maulik R. Kamdar, Tymor Hamamsy, Shea Shelton, Ayin Vala, Tome Eftimov, James Zou, Suzanne Tamang
Statistical learning methods that use data from multiple clinical centers across the US to detect opioid over-prescribing trends and predict possible opioid misuse are required.
no code implementations • 19 Mar 2019 • Rafael S. Gonçalves, Maulik R. Kamdar, Mark A. Musen
The metadata about scientific experiments published in online repositories have been shown to suffer from a high degree of representational heterogeneity---there are often many ways to represent the same type of information, such as a geographical location via its latitude and longitude.