Senior Design Team sdmay20-41 • Machine Learning for Understanding Aging

About the Project

Human aging is a topic that has been studied throughout history. Scientists, doctors, sociologists, and the general public all want to know what characteristics indicate a decline in health and what actions can be taken to slow down this decline. Knowing this information can allow people to increase their life expectancy and overall quality of life.

Using health data collected in the MIDUS data study with our data extraction and machine-learning modules, our product will return the a decreasing error plot if the expected association between files is confirmed through machine learning.

This tool provides convenience for scientist and gerontologist who hope to find solutions in their data studies by using machine learning. They can also check the accuracy of their conclusions by running the program using their files of interest.