31 citations · 68 across the 19 of their papers we have counts for
5 papers · 1 filter
TempoQL: A Readable, Precise, and Portable Query System for Electronic Health Record Data
Ziyong Ma, Richard D. Boyce, Adam Perer +1
Electronic health record (EHR) data is an essential data source for machine learning for health, but researchers and clinicians face steep barriers in extracting and validating EHR…
Over-Relying on Reliance: Towards Realistic Evaluations of AI-Based Clinical Decision Support
Venkatesh Sivaraman, Katelyn Morrison, Will Epperson +1
As AI-based clinical decision support (AI-CDS) is introduced in more and more aspects of healthcare services, HCI research plays an increasingly important role in designing for com…
Tempo: Helping Data Scientists and Domain Experts Collaboratively Specify Predictive Modeling Tasks
Venkatesh Sivaraman, Anika Vaishampayan, Xiaotong Li +4
Temporal predictive models have the potential to improve decisions in health care, public services, and other domains, yet they often fail to effectively support decision-makers. P…
Static Algorithm, Evolving Epidemic: Understanding the Potential of Human-AI Risk Assessment to Support Regional Overdose Prevention
Venkatesh Sivaraman, Yejun Kwak, Courtney Kuza +6
Drug overdose deaths, including those due to prescription opioids, represent a critical public health issue in the United States and worldwide. Artificial intelligence (AI) approac…
Divisi: Interactive Search and Visualization for Scalable Exploratory Subgroup Analysis
Venkatesh Sivaraman, Zexuan Li, Adam Perer
Analyzing data subgroups is a common data science task to build intuition about a dataset and identify areas to improve model performance. However, subgroup analysis is prohibitive…