1 code implementation • 2 Aug 2022 • Chao Yan, Yao Yan, Zhiyu Wan, Ziqi Zhang, Larsson Omberg, Justin Guinney, Sean D. Mooney, Bradley A. Malin
The results illustrate that there is a utility-privacy tradeoff for sharing synthetic EHR data.
no code implementations • 28 Jun 2022 • Yao Yan, Thomas Yu, Kathleen Muenzen, Sijia Liu, Connor Boyle, George Koslowski, Jiaxin Zheng, Nicholas Dobbins, Clement Essien, Hongfang Liu, Larsson Omberg, Meliha Yestigen, Bradley Taylor, James A Eddy, Justin Guinney, Sean Mooney, Thomas Schaffter
Discussion We demonstrated the feasibility of using the NLP Sandbox to conduct a multi-site evaluation of clinical text de-identification models without the sharing of data.
no code implementations • 9 Nov 2020 • Elias Chaibub Neto, Phil Snyder, Solveig K Sieberts, Larsson Omberg
In health related machine learning applications, the training data often corresponds to a non-representative sample from the target populations where the learners will be deployed.