585 citations · 841 across the 29 of their papers we have counts for
5 papers · 1 filter
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…
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…
Deep Learning on Hester Davis Scores for Inpatient Fall Prediction
Hojjat Salehinejad, Ricky Rojas, Kingsley Iheasirim +2
Fall risk prediction among hospitalized patients is a critical aspect of patient safety in clinical settings, and accurate models can help prevent adverse events. The Hester Davis…
S-Rocket: Selective Random Convolution Kernels for Time Series Classification
Hojjat Salehinejad, Yang Wang, Yuanhao Yu +2
Random convolution kernel transform (Rocket) is a fast, efficient, and novel approach for time series feature extraction using a large number of independent randomly initialized 1-…
EDropout: Energy-Based Dropout and Pruning of Deep Neural Networks
Hojjat Salehinejad, Shahrokh Valaee
Dropout is a well-known regularization method by sampling a sub-network from a larger deep neural network and training different sub-networks on different subsets of the data. Insp…