Analysis of Data Science Tools for Sensor-Based Assessment of Quality of Life in Health Care

摘要

QVida+ Project aims at continuously assessing the quality of life (QoL) of patients without requiring them to constantly fill QoL questionnaires. For this, QVida+ proposes to use a combination of sensor-based technology to acquire data on patients and data science (DS) algorithms to work this data in order to estimate the answers patients would give to the questionnaire items. One key decision of this project is the selection of the best data science tools to use. We compared different tools based on their popularity and support from the community, offered DS algorithms, price and licensing, and development environment. We concluded that R is the tool that best fits the purpose of our project, and we open the possibility for future use of Python in specific tasks of this project.