HOME
Back
4010
Big Data and Machine Learning for Health Research
Tuesday, November 8, 8:30 a.m. - 10:00 a.m.
Westin, Grand Ballroom C, Concourse Level
Program:
Applied Public Health Statistics
Session Format:
Oral
Moderators
Russell Miller
Department of Community and Global Health, The University of Tokyo
Presentations
8:30 AM
15
Using machine learning to identify influential contextual factors of late-stage diagnosis among early-onset colorectal cancer
Presenter:
Hadiza Galadima
Hadiza Galadima, PhD
1
, James Blando, PhD
1
, Ghalib Bello, PhD
2
, Michael Allen, PhD
1
, Anne Dumadag, MPH
1
1
Old Dominion University,
2
Icahn School of Medicine at Mount Sinai
8:45 AM
15
Predicting functional recovery following inpatient post-stroke rehabilitation- a machine learning approach.
Presenter:
Md Marufuzzaman Khan
Md Marufuzzaman Khan
1
, Yasin Wahid Rabby, Postdoc Research Associate
2
1
Department of Public Health, University of Tennessee, Knoxville,
2
Department of Engineering, Wake Forest University
9:00 AM
15
Behavioral Community Segmentation for COVID-19 Vaccine Outreach: From Clustering Analysis to Tailored Implementation in Missouri
Presenter:
Ellie Chessen
Ellie Chessen, MPP
1
, Madelyn Ganser, MS
1
, Colin Paulish, MBA
1
, Aamia Malik, MBDS
1
, Allison Wishner, MBDS
1
, Mike Daggitt, BS
1
, James Howgate, DrPH
1
, Tiffany Bayer, BA
2
, Zinan Zhang, MS
1
, Chris Eshleman, MS, MPA
1
, Ryan D. James, PhD
1
, Andrew J. Miller, PhD
1
, Vivek Khatri, PhD, MHS
1
, George Turabelidze, MD
2
, Jeffrey J. Glenn, PhD
1
1
Deloitte Consulting LLP,
2
Missouri Department of Health and Senior Services
9:15 AM
15
Predicting Counties with Elevated COVID-19 Vaccine Hesitancy Utilizing a Data Mining Approach
Presenter:
Joel Hartsell
Joel Hartsell, MPH, PMP, CPMAI
1
, Jonnell Sanciangco, BS, GISP
2
, Roberto Mejia, DDS, Ph.D.
1
, Karin Hoelzer, DVM, Ph.D.
1
1
Maximus Public Health Data Analytics,
2
Maximus Public Health
