1 citations · 1 across the 4 of their papers we have counts for
5 papers
GraphBEAT: Graph-based Bucketized Event Aggregation Over Time for Early Risk Stratification of Gastrointestinal Cancers
Leo Y. Li-Han, Chris Varghese, Elizabeth B. Habermann +4
Longitudinal electronic health records (EHRs) contain complementary diagnostic and laboratory information about patient health. However, irregularity, sparsity, heterogeneity, and…
Automated Prediction of Postoperative Pancreatic Fistula Using Preoperative Computed Tomography
Ashok Choudhary, Chris Varghese, Leo Y. Li-Han +5
Postoperative pancreatic fistula (POPF) is a serious complication after pancreatic resection, increasing morbidity, hospital stay, and healthcare costs. We present an automatic, en…
Digitally enriching a high-risk population for pancreatic cancer using routine blood-based measures and clinical histories
Chris Varghese, Leo Y. Li-Han, Richa Bisht +10
Earlier detection of pancreatic cancer is key to enabling wider access to curative treatment and reducing cancer deaths; however, screening is presently not viable. Latent digital…
GraD-IBD: Graph Representation Learning from Diagnosis Trajectories for Early Detection of Inflammatory Bowel Disease
Leo Y. Li-Han, Ellen L. Larson, Elizabeth B. Habermann +2
International Classification of Diseases (ICD) is a globally recognized coding system that records diagnostic events during each patient encounter, providing a standardized data fo…
Deep Learning-Based Automatic Diagnosis System for Developmental Dysplasia of the Hip
Yang Li, Leo Yan Li-Han, Hua Tian
Objective: The clinical diagnosis of developmental dysplasia of the hip (DDH) typically involves manually measuring key radiological angles -- Center-Edge (CE), Tonnis, and Sharp a…