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20232026
most citedPerspectives on Privacy in the Post-Roe Era: A Mixed-Methods of Machine Learning and Qualitative Analyses of Tweets

2 citations · 4 across the 4 of their papers we have counts for

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cs.HC2026

We Need Granular Sharing of De-Identified Data-But Will Patients Engage? Investigating Health System Leaders' and Patients' Perspectives on A Patient-Controlled Data-Sharing Platform

Xi Lu, Di Hu, An T. Nguyen +6

Patient-controlled data-sharing systems are increasingly promoted as a way to empower patients with greater autonomy over their health data. Yet it remains unclear how different st…

cs.HC2025

Supporting Patients in Managing Electronic Health Records and Biospecimens Consent for Research: Insights from a Mixed-Methods Usability Evaluation of the iAGREE Portal

Di Hu, Xi Lu, Yunan Chen +6

De-identified health data are frequently used in research. As AI advances heighten the risk of re-identification, it is important to respond to concerns about transparency, data pr…

cs.HC2024★ 2 cited

Investigating the effects of housing instability on depression, anxiety, and mental health treatment in childhood and adolescence

Rachael Zehrung, Di Hu, Yawen Guo +2

Housing instability is a widespread phenomenon in the United States. In combination with other social determinants of health, housing instability affects children's overall health…

cs.HC2023★ 2 cited

Perspectives on Privacy in the Post-Roe Era: A Mixed-Methods of Machine Learning and Qualitative Analyses of Tweets

Yawen Guo, Rachael Zehrung, Katie Genuario +4

Abortion is a controversial topic that has long been debated in the US. With the recent Supreme Court decision to overturn Roe v. Wade, access to safe and legal reproductive care i…