Russell Greiner

Assessing the Value of Long-Range Medical Record Timeseries for Predicting ICU Stay Outcomes With Transformers (Preprint)

Michael Parkes, Russell Greiner, S. Davis, J. Ross Mitchell

Censoring-adjusted tree-based policy learning for estimating dynamic treatment regimes with censored outcomes

Animesh Kumar Paul, Russell Greiner

ca (code pays fourni par la source)

Development of Deep-Learning Models that Predict Quantitative Protein-Ligand Interactions in Glycobiology as a part of a Capstone Course

Haoyan Yin, Weibo Liu, W Zhou, Zechen Chang et autres

ca (code pays fourni par la source)

Development of Deep-Learning Models that Predict Quantitative Protein-Ligand Interactions in Glycobiology as a part of a Capstone Course

Haoyan Yin, Weibo Liu, W Zhou, Zechen Chang et autres

ca (code pays fourni par la source)

Development of Deep-Learning Models that Predict Quantitative Protein-Ligand Interactions in Glycobiology as a part of a Capstone Course

Haoyan Yin, Weibo Liu, W Zhou, Zechen Chang et autres

ca (code pays fourni par la source)

Leveraging administrative health records and machine learning for population-level prediction of preterm birth

Animesh Kumar Paul, Sunil V. Kalmady, Russell Greiner, Padma Kaul

ca (code pays fourni par la source)

Fluorescence spectroscopy and machine learning methods for detection of Alzheimer's disease from circulating white blood cells

Shigeki Tsutsui, Anastasiia A. Stepanchuk, Julian P. Stys, Stefanie A. G. Black et autres

ca (code pays fourni par la source)

Temporally consistent survival prediction for non-uniform longitudinal data

Harrison Fah, Russell Greiner, Roger A. Dixon

ca (code pays fourni par la source)

Atom-level machine learning of protein-glycan interactions and cross-chiral recognition in glycobiology

Eric J Carpenter, Chuanhao Peng, Simatsidk Haregu, Nicholas Twells et autres

ca, us, tw (code pays fourni par la source)

Comprehensive analysis platform to understand, remedy, and eliminate amyotrophic lateral sclerosis (CAPTURE ALS): Study protocol for a Canadian multicenter, multimodal, longitudinal observational study

Claire Magnussen, HyungMo Kang, Mathieu Blais, Harpreet Bhinder et autres

ca, us (code pays fourni par la source)

Using machine learning to predict clinical remission with exclusive enteral nutrition in pediatric Crohn disease

R G Suarez Suarez, Daniel G. McClement, Roberto Vega, Hien Q. Huynh et autres

ca (code pays fourni par la source)

Supplementary Data 1 from Learning Individual Survival Models from PanCancer Whole Transcriptome Data

Neeraj Kumar, Daniel Skubleny, Michael Parkes, Ruchika Verma et autres