61 citations · 99 across the 11 of their papers we have counts for
11 papers
Benchmarking Waitlist Mortality Prediction in Heart Transplantation Through Time-to-Event Modeling using New Longitudinal UNOS Dataset
Yingtao Luo, Reza Skandari, Carlos Martinez +2
Decisions about managing patients on the heart transplant waitlist are currently made by committees of doctors who consider multiple factors, but the process remains largely ad-hoc…
Towards Interpretable End-Stage Renal Disease (ESRD) Prediction: Utilizing Administrative Claims Data with Explainable AI Techniques
Yubo Li, Saba Al-Sayouri, Rema Padman
This study explores the potential of utilizing administrative claims data, combined with advanced machine learning and deep learning techniques, to predict the progression of Chron…
YouTube Video Analytics for Patient Engagement: Evidence from Colonoscopy Preparation Videos
Yawen Guo, Xiao Liu, Anjana Susarla +1
Videos can be an effective way to deliver contextualized, just-in-time medical information for patient education. However, video analysis, from topic identification and retrieval t…
Enhancing End Stage Renal Disease Outcome Prediction: A Multi-Sourced Data-Driven Approach
Yubo Li, Rema Padman
Objective: To improve prediction of Chronic Kidney Disease (CKD) progression to End Stage Renal Disease (ESRD) using machine learning (ML) and deep learning (DL) models applied to…
YouTube Videos for Public Health Literacy? A Machine Learning Pipeline to Curate Covid-19 Videos
Yawen Guo, Xiao Liu, Anjana Susarla +1
The COVID-19 pandemic has highlighted the dire necessity to improve public health literacy for societal resilience. YouTube, the largest video-sharing social media platform, provid…
On Curating Responsible and Representative Healthcare Video Recommendations for Patient Education and Health Literacy: An Augmented Intelligence Approach
Krishna Pothugunta, Xiao Liu, Anjana Susarla +1
Studies suggest that one in three US adults use the Internet to diagnose or learn about a health concern. However, such access to health information online could exacerbate the dis…