Non-imaging medical data synthesis for trustworthy AI: A comprehensive survey
X Xing, H Wu, L Wang, I Stenson, M Yong… - ACM Computing …, 2024 - dl.acm.org
Data quality is a key factor in the development of trustworthy AI in healthcare. A large volume
of curated datasets with controlled confounding factors can improve the accuracy …
of curated datasets with controlled confounding factors can improve the accuracy …
Unpacking ICT-supported Social Connections and Support of Late-life Migration: From the Lens of Social Convoys
Migration and aging-related dilemmas have limited the opportunities for late-life migrants to
rebuild social connections and access support. While research on migrants has drawn …
rebuild social connections and access support. While research on migrants has drawn …
Leveraging VQ-VAE tokenization for autoregressive modeling of medical time series
In this work, we present CodeAR, a medical time series generative model for electronic
health record (EHR) synthesis. CodeAR employs autoregressive modeling on discrete …
health record (EHR) synthesis. CodeAR employs autoregressive modeling on discrete …
The Privacy-Preserving High-Dimensional Synthetic Data Generation and Evaluation in the Healthcare Domain
In the fast-changing environment of healthcare research and technology, there is an
increasing demand for varied and vast information. However, issues with data privacy …
increasing demand for varied and vast information. However, issues with data privacy …
DP-SMOTE: Integrating Differential Privacy and Oversampling Technique to Preserve Privacy in Smart Homes
AT Elsayed, AS Alsharkawy… - Al-Azhar Bulletin …, 2024 - absb.researchcommons.org
Smart homes represent intelligent environments where interconnected devices gather
information, enhancing users' living experiences by ensuring comfort, safety, and efficient …
information, enhancing users' living experiences by ensuring comfort, safety, and efficient …