73 citations · 83 across the 7 of their papers we have counts for
6 papers · 1 filter
Understanding Missingness in Time-series Electronic Health Records for Individualized Representation
Ghadeer O. Ghosheh, Jin Li, Tingting Zhu
With the widespread of machine learning models for healthcare applications, there is increased interest in building applications for personalized medicine. Despite the plethora of…
A Perspective on Individualized Treatment Effects Estimation from Time-series Health Data
Ghadeer O. Ghosheh, Moritz Gögl, Tingting Zhu
The burden of diseases is rising worldwide, with unequal treatment efficacy for patient populations that are underrepresented in clinical trials. Healthcare, however, is driven by…
IGNITE: Individualized GeNeration of Imputations in Time-series Electronic health records
Ghadeer O. Ghosheh, Jin Li, Tingting Zhu
Electronic Health Records present a valuable modality for driving personalized medicine, where treatment is tailored to fit individual-level differences. For this purpose, many dat…
Dynamic Inter-treatment Information Sharing for Individualized Treatment Effects Estimation
Vinod Kumar Chauhan, Jiandong Zhou, Ghadeer Ghosheh +2
Estimation of individualized treatment effects (ITE) from observational studies is a fundamental problem in causal inference and holds significant importance across domains, includ…
Synthesizing Mixed-type Electronic Health Records using Diffusion Models
Taha Ceritli, Ghadeer O. Ghosheh, Vinod Kumar Chauhan +3
Electronic Health Records (EHRs) contain sensitive patient information, which presents privacy concerns when sharing such data. Synthetic data generation is a promising solution to…
A review of Generative Adversarial Networks for Electronic Health Records: applications, evaluation measures and data sources
Ghadeer Ghosheh, Jin Li, Tingting Zhu
Electronic Health Records (EHRs) are a valuable asset to facilitate clinical research and point of care applications; however, many challenges such as data privacy concerns impede…