# 26: BIA: Body Imaging (Gender, Weight, Height, Body Mass Index) Analyzer
Project ID:
26
Team Members:
Steven Varghese, Song Haoyang, Williams Jordan Brian, Philip Troy Xavier, Mendoza David
Faculty Advisor(s):
Aera Kim LeBoulluec
Department:
Industrial, Manufacturing & Systems Engineering
Project Type:
REU
Title:
BIA: Body Imaging (Gender, Weight, Height, Body Mass Index) Analyzer
Abstract:
Through 10 independent variables, such as gender, age, BMI, marital status and heart disease, we can predict whether a patient is likely to suffer a stroke. The potential techniques used will be logistic regression and classification tree.