Dr. Frank Appiah

Dept Chair Associate Professor, Science, Technology, Engineering, and Math
Dr. Frank  Appiah

Education

Ph.D. in Epidemiology and Biostatistics
University of Kentucky
M.S. in Statistics
University of Kentucky
M.S. in Mathematics
Youngstown State University

Research Interests

Mixture modeling with applications and data science

Intellectual Contributions

A comparison of methods for predicting future cognitive status

Frank Appiah
January (1st Quarter/Winter) 1, 2022
PUBMED, Alzheimer Disease & Associated Disorders

Impact of Intravenous Access Site on Attenuation for Thoracic Computed Tomographic Angiography: A Time-Matched, Nested, Case-Control Study. JVA, in press.

Frank Appiah
September 23, 2021
Journal of Vascular Access

The Use of Intraosseous Needles for Injection of Contrast Media for Computed Tomographic Angiography of the Thoracic Aorta

Frank Appiah
January (1st Quarter/Winter) 2017
Journal of Radiology

Elucidating Risk Factors and Cognitive Profiles of Brain Arteriolosclerosis in ’Younger’ and ’Older’ Elderly Individuals

Frank Appiah
January (1st Quarter/Winter) 2016
Journal of Cerebral Blood Flow and Metabolism

Presentations

A comparison of methods for predicting future cognitive status

Colorado - Wyoming ASA Chapter
April 28, 2023

Predicting Alzheimer’s Disease with Mixture of Regression Modeling

Joint Statistical Meetings
August 2016

Trajectories Identifying Robust-Normal, Prodromal-Normal and Not-Normal Participants Using CERAD T-scores and Premorbid Estimates of Cognitive Abi- lity

11th Annual CCTS Spring Conference
April 2016

Predicting Alzheimer’s Disease with Bivariate Mixture Modeling, An Application to ADNI Data

ENAR
March 2016

Media Contributions

AI governance and why we must care

Public Blog
May 17, 2024
Social Media - Blog

How APUS is embracing AI technologies within CSDS department and beyond

Public Blog
May 17, 2024
Social Media - Blog

The pathway to artificial intelligence – how to transition into this field and what do you need:

Public Blog
May 17, 2024
Social Media - Blog

Alzheimer’s disease; why we should all be concerned and the role that data science continues to play in researching ways to mitigate the disease effects

School Blog
2023
Social Media - Blog

Data Science: Extracting Insights from Complex Data Sets

Public
2023
Social Media - Blog

Awards & Honors

June 16, 2021
2020 University Strategic Initiative – Catalyst – Learning Management System Migration
APUS
During 2020, the earner of this badge made significant contributions to the migration of courses to a new online classroom to improve user experience, promote student-to-student and faculty-to-student interaction, enable a robust mobile classroom, and further differentiate APUS as a leader in online learning.