JSM2023
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Contributed Papers

Statistical Learning in Healthcare

Sun, Aug 6, 2:00 PM
Doudou ZhouChair
Section on Statistical Learning and Data Science

6 Presentations

Using deep learning neural networks to identify gene signatures that predict cancer survival
2:05 PM - 2:20 PM
Minya Pu
Co-authors: Jingjing Zou, Karen Messer (UCSD Division of Biostatistics and Bioiformatics)
A New CNN Model with Quantization for Big Sleep Polysomnogram Data
2:20 PM - 2:35 PM
Anna Wang
WITHDRAWN A General Sparse Tensor Canonical Correlation Analysis for Alzheimer's Disease Prediction
2:35 PM - 2:50 PM
Co-authors: Jun Yu, Lifang He (University of Pennsylvania), Yong Chen (University of Pennsylvania, Perelman School of Medicine)
Individualized Dynamic Model for Multi-resolutional Data
2:50 PM - 3:05 PM
Jiuchen Zhang (University of California, Irvine)
Co-authors: Fei Xue (Purdue University), Qi Xu (University of California-Irvine), Jung-Ah Lee (University of California, Irvine), Annie Qu (University of California Irvine)
Multiple Augmented Reduced Rank Regression for Pan-Cancer Analysis
3:05 PM - 3:20 PM
Jiuzhou Wang (University of Minnesota)
Co-authors: Eric Lock (University of Minnesota)
Analysis of High Dimensional Clinical Data to Predict Time Until Intubation in Bronchiolitis Pediatric Patients
3:20 PM - 3:35 PM
Eduardo Trujillo Rivera (Children's National Hospital)
Co-authors: Murray Pollack, MD (Children's National Hospital and George Washington), Alice Shanklin (Children's National Hospital)

Session participants

Cheryl Brooks (AT&T Data Science and AI Research)
Participant
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