Search Results for author: Bradley Malin

Found 7 papers, 1 papers with code

Distillation to Enhance the Portability of Risk Models Across Institutions with Large Patient Claims Database

no code implementations6 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.

Readmission Prediction Transfer Learning

EVA: Generating Longitudinal Electronic Health Records Using Conditional Variational Autoencoders

no code implementations18 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.

Variational Inference

GOAT: GPU Outsourcing of Deep Learning Training With Asynchronous Probabilistic Integrity Verification Inside Trusted Execution Environment

no code implementations17 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.

Self-Driving Cars

Get Your Workload in Order: Game Theoretic Prioritization of Database Auditing

no code implementations22 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.

Generating Multi-label Discrete Patient Records using Generative Adversarial Networks

3 code implementations19 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.

Cannot find the paper you are looking for? You can Submit a new open access paper.