About

Years: 2020 – 2021

Training Site: University of Zambia

Country: 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