Years: 2020 – 2021
Training Site: University of Zambia
Mentors: Deanna Saylor, MD, MHS; Patrick Musonda, MSc, PhD
Title: “Applications of artificial intelligence to identify Stroke risks for HIV patients in cognitive science modeling using Bayesian Network Model”
Program Objectives: This study will explore the use of BN models that make use of widely available data to predict stroke risk and outcomes for PLWH.
Aim 1: To develop a Bayesian network model to predict stroke risk among ART-treated PLWH in Zambia.
Hypothesis 1: A BN model will be developed which can predict stroke risk from observed data and infer conditional dependencies between demographic, clinical and stroke-related behavior indicators.
Aim 2: To develop a Bayesian network model to predict poor functional outcomes and mortality after a stroke among ART-treated PLWH in Zambia.
Hypothesis 2: A BN model can be developed which predicts poor post-stroke outcomes and mortality.
NIH Support: NINDS