PhysioNet: A Quarter Century of Open Health Data
Join Drs. Roger Mark and Tom Pollard as they present "PhysioNet: A Quarter Century of Open Health Data" during the December Data Sharing and Reuse Seminar.
PhysioNet is an NIH-supported research resource that provides open access to major collections of clinical data, including two cancer-related databases:
- Phenotype Annotations for Patient Notes in the MIMIC-III Database (credentialed access)
- VinDr-Mammo: A large-scale benchmark dataset for computer-aided detection and diagnosis in full-field digital mammography (restricted access)
The platform supports training requirements and access control that allows researchers to share sensitive resources. Each project is made available through open, restricted, or credential access.
This webinar is part of NIH Data Sharing and Reuse Seminar Series, which is hosted by the NIH Office of Data Science and Strategy. The monthly series highlights researchers who have taken existing data and found clever ways to reuse the data or generate new findings.
Dr. Mark is a distinguished professor in health sciences and technology at the Massachusetts Institute of Technology’s Institute of Medical Engineering and Science, and an assistant professor of medicine at Harvard Medical School. His research activities focus on physiological signal processing and database development, cardiovascular modeling, and critical care decision support and predictive modeling. He and his group launched PhysioNet, and they continue to add data collections to the research resource.
Dr. Pollard is a research scientist at Massachusetts Institute of Technology’s Institute of Medical Engineering and Science and the technical director of PhysioNet. His efforts center on sharing data for use in research, education, and industry, with a focus on critical care.
Upcoming Events
- 29th Annual Meeting and Education Day of the Society for Neuro-Oncology (SNO)November 21, 2024 - November 24, 2024Leveraging Optical Imaging and Data Science to Enable Precision Intervention in Brain Tumor SurgeryNovember 26, 2024Evaluating AI Models: Benchmarking and FairnessNovember 26, 20242024 U.S. Southeast Healthcare Innovation SummitDecember 04, 2024