Data-Driven User-Type Clustering of a Physical Activity Promotion App: Usage Data Analysis Study.

Christina Kranzinger Verena Venek Harald Rieser Sonja Jungreitmayr Susanne Ring-Dimitriou

Published in: JMIR formative research (2022)

The application of different clustering approaches showed that data-driven calculations of user groups can complement expert-based definitions, provide objective thresholds for the analysis of app usage data, and identify groups that can be targeted individually based on their specific group characteristics.

Keyphrases

data analysis
physical activity
single cell
rna seq
molecular dynamics
density functional theory
electronic health record
molecular dynamics simulations
big data
machine learning
drug delivery