JSM2024
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Contributed Posters

Contributed Poster Presentations: Section on Statistical Learning and Data Science

Mon, Aug 5, 10:30 AM - 12:20 PM
Ryan PetersonChair
Section on Statistical Learning and Data Science

24 Presentations

41 A Comparison of Multi-Lead ECG Arrythmia Detection Methods Using Variational Autoencoders
10:30 AM - 11:15 AM
Kayla Hallmark
Co-authors: Ethan Fogarty (University of Central Oklahoma), Emily Hendryx Lyons (University of Central Oklahoma), Tyler Cook (University of Central Oklahoma)
42 A Deep Learning-Statistical Framework for Uncertainty Mitigation of Noisy Labels on Pathology Image
10:30 AM - 11:15 AM
Lucas Liu (Fred Hutchinson Cancer Center)
Co-authors: Ruth Etzioni (Fred Hutchinson Cancer Research Center), Wei Sun (Fred Hutchinson Cancer Center)
43 An Improvement for Variable Selection in GAMLSS Models and Quantile Regression
10:30 AM - 11:15 AM
Myriam Maumy-Bertrand (Universite De Technologie De Troyes)
Co-authors: Frederic Bertrand (University of Technology of Troyes)
44 Cardiovascular Surgery Patient Length of Stay Model
10:30 AM - 11:15 AM
Brendan Broderick (Mayo Clinic)
Co-authors: Ethan Heinzen (Mayo Clinic)
45 Clustering with the Distinguishability criterion
10:30 AM - 11:15 AM
Ali Turfah (University of Michigan Ann Arbor)
Co-authors: Xiaoquan Wen (University of Michigan)
46 Confidence Intervals for Feature Importance Ranking
10:30 AM - 11:15 AM
Yuval Benjamini (Hebrew University of Jerusalem)
Co-authors: Bitya Neuhof (Hebrew University)
47 Contrasting Subset Selection Methods in Multilead Electrocardiogram Data
10:30 AM - 11:15 AM
Autumn Langer
Co-authors: Kassidy Crockett (University of Central Oklahoma), Tyler Cook (University of Central Oklahoma), Emily Hendryx Lyons (University of Central Oklahoma)
48 Developing an AI-Computer Based Antimicrobial Monitoring (AI-CBAM) to Address Inefficiencies in an Antimicrobial Stewardship Program at Mayo Clinic Rochester
10:30 AM - 11:15 AM
Ricardo Rojas
Co-authors: Peter Martin (Mayo Clinic), Patrick Wilson (Mayo Clinic), Curtis Storlie (Mayo Clinic)
49 Enhancement of Downstream Performance Leveraging Active Subspace of Generative Molecular Model
10:30 AM - 11:15 AM
Sanket Jantre
Co-authors: A N M Nafiz Abeer (Texas A&M University), Byung-Jun Yoon (Texas A&M University)
50 Enhancing Tobacco Cessation: PATH Data Analysis via Mixed-Effect Temporal Machine Learning
10:30 AM - 11:15 AM
Hanxia Li
Co-authors: Sixia Chen
52 Integrating CHIS and ACS Data to Enhance Health Metric Estimations for Small Populations
10:30 AM - 11:15 AM
ZHEYU JIANG (UCLA CENTER FOR HEALTH POLICY RESEARCH)
Co-authors: YuChing Yang (UCLA), TARA BECKER (UCLA CENTER FOR HEALTH POLICY RESEARCH), TODD HUGHES (UCLA CENTER FOR HEALTH POLICY RESEARCH), JIANGZHOU FU (UCLA CENTER FOR HEALTH POLICY RESEARCH), NINEZ PONCE (UCLA CENTER FOR HEALTH POLICY RESEARCH)
53 Integrating genetic data and electronic health records for health risk predictions using a graph convolution network
10:30 AM - 11:15 AM
Yuqi Miao
Co-authors: Chunhua Weng (Columbia University), Krzysztof Kiryluk (Columbia University), Shuang Wang (Columbia University)
55 On partial envelope approach for modeling spatial-temporally dependent data
10:30 AM - 11:15 AM
REISA FEBRIANI WIDJAJA (University of Texas at San Antonio)
56 Optimal Thresholding Linear Bandit
10:30 AM - 11:15 AM
Eduardo Ochoa Rivera (University of Michigan)
Co-authors: Ambuj Tewari (University of Michigan)
57 Optimizing Decision Trees for Clustered and Hierarchical Data
10:30 AM - 11:15 AM
Kevin McCoy (Rice University)
Co-authors: Christine Peterson (University of Texas MD Anderson Cancer Center)
58 Penalized Bayesian FCR Model for High-dimensional Genomic Data with Discrete Survival Outcomes
10:30 AM - 11:15 AM
Anna Seffernick (St. Jude Children's Research Hospital)
Co-authors: Kellie Archer (The Ohio State University)
59 Performance Comparison of Models for Analysis of Ordinal Data
10:30 AM - 11:15 AM
Jillian Morrison (College of Wooster)
Co-authors: Matthew Jobrack, Nairanjana Dasgupta (Washington State University)
60 Predicting unplanned Caesarean sections with a one-hour lead time using LSTM models
10:30 AM - 11:15 AM
Katherine Bews
Co-authors: Louis Faust (Mayo Clinic), Gavin Schaeferle, James Moriarty (Mayo Clinic), Bijan Borah (Mayo Clinic), Jason Greenwood (Mayo Clinic), Vanessa Torbenson (Mayo Clinic), Abimbola Famuyide (Mayo Clinic), Che Ngufor (Mayo Clinic)
61 Selection of Transformation for a Better and Explainable Model
10:30 AM - 11:15 AM
Shenghao Ye (George Mason University)
Co-authors: Jiayang Sun (George Mason University), Cynthia Beall (Case Western Reserve University)
62 Sparse Heteroskedastic PCA in High Dimensions
10:30 AM - 11:15 AM
Rui Kang (University of Pittsburgh)
Co-authors: Peiliang Zhang (University of Pittsburgh), Zhao Ren (University of Pittsburgh)
63 The association between water physicochemical properties and microbiome in the St. Lawrence River.
10:30 AM - 11:15 AM
Sucharitha Dodamgodage
Co-authors: Austin Marshall (Clarkson University), Kelsey Cullen (Clarkson University), Sumona Mondal (Clarkson University), Shantanu Sur (Clarkson University)
64 Transfer Learning with Mismatched Covariates
10:30 AM - 11:15 AM
Jinhong Li (University of Pittsburgh)
Co-authors: Lu Tang (University of Pittsburgh), Guan Yu (University of Pittsburgh)
65 Unveiling Fall Triggers in Older Adults: A Mixed Undirected Graphical Model Analysis
10:30 AM - 11:15 AM
Tho Nguyen
Co-authors: Ladda Thiamwong (University of Central Florida), Rui Xie (University of Central Florida)
66 Selection in Generalized Linear Models with Fairness Constraint
10:30 AM - 11:15 AM
Yixiao Lin
Co-authors: James Booth
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