no code implementations • 6 Jul 2022 • Steve Nyemba, Chao Yan, Ziqi Zhang, Amol Rajmane, Pablo Meyer, Prithwish Chakraborty, Bradley Malin
We further show that the transfer learning approach based on the BAN produces models that are better than those trained on just a single institution's data.
no code implementations • 17 Jun 2022 • Chris Clifton, Bradley Malin, Anna Oganian, Ramesh Raskar, Vivek Sharma
Government agencies collect and manage a wide range of ever-growing datasets.
no code implementations • 18 Dec 2020 • Siddharth Biswal, Soumya Ghosh, Jon Duke, Bradley Malin, Walter Stewart, Jimeng Sun
De-identified EHRs do not adequately address the needs of health systems, as de-identified data are susceptible to re-identification and its volume is also limited.
no code implementations • 17 Oct 2020 • Aref Asvadishirehjini, Murat Kantarcioglu, Bradley Malin
Machine learning models based on Deep Neural Networks (DNNs) are increasingly deployed in a wide range of applications ranging from self-driving cars to COVID-19 treatment discovery.
no code implementations • SEMEVAL 2019 • Rajagopal Venkatesaramani, Doug Downey, Bradley Malin, Yevgeniy Vorobeychik
We introduce a novel topic modeling approach based on constructing a semantic set cover for clusters of similar documents.
no code implementations • 22 Jan 2018 • Chao Yan, Bo Li, Yevgeniy Vorobeychik, Aron Laszka, Daniel Fabbri, Bradley Malin
For enhancing the privacy protections of databases, where the increasing amount of detailed personal data is stored and processed, multiple mechanisms have been developed, such as audit logging and alert triggers, which notify administrators about suspicious activities; however, the two main limitations in common are: 1) the volume of such alerts is often substantially greater than the capabilities of resource-constrained organizations, and 2) strategic attackers may disguise their actions or carefully choosing which records they touch, making incompetent the statistical detection models.
3 code implementations • 19 Mar 2017 • Edward Choi, Siddharth Biswal, Bradley Malin, Jon Duke, Walter F. Stewart, Jimeng Sun
Access to electronic health record (EHR) data has motivated computational advances in medical research.