Refereed

CS034 Time-Series Clustering, Joint Modeling, and Multimodal Fusion in Biomedical Research

Fri, May 1, 9:50 AM - 11:20 AM Room Milwaukee A Hyatt Regency Milwaukee

Data Science Applications

3 Presentations

Time series clustering of ambulatory blood pressure data

9:55 AM - 10:20 AM

Co-authors: Kristina Vatcheva (University of Texas Rio Grande Valley), John Knight (University of Texas Rio Grande Valley), Kristina Vatcheva (University of Texas Rio Grande Valley)

blood pressure time series clustering DTW TEWD

Bayesian Joint Models for Time-Varying Risk Factor Exposure, Medication Use, and Time-to-Event Outcomes

10:20 AM - 10:45 AM

Co-authors: Zeynab Aghabazaz (Northwestern University), Michael Daniels (University of Florida), Zeynab Aghabazaz (Northwestern University), Donald Lloyd-Jones (Department of Medicine, Boston University Chobanian & Avedisian School of Medicine), Juned Siddique (Northwestern University)

Bayesian method Cardiovascular risk prediction Life course epidemiology Longitudinal risk factors Survival analysis

Late-Fusion Cox Modeling With Random Survival Forest Integration for NSCLC Prognosis

10:45 AM - 11:10 AM

Co-authors: Zarindokht Helforoush, Nezamoddin N Kachouie (Florida Institute of Technology-Department of Mathematical Sciences), Zarindokht Helforoush

Non–small cell lung cancer (NSCLC)Survival Prediction Radiomics Late-Fusion Cox Model Random Survival Forest (RSF)