Data-driven cluster analysis for identifying groups within users of anti-osteoporosis medication, using real-world primary care data.
Khalid S., Ali MS., Silman A., Prieto-Alhambra D.
Data-driven methods can be used for pattern recognition within a clinical population, enriching the existing analytical tools for clinical data analysis. We clustered anti-osteoporosis drug users with similar risk factors, to better determine the influence of therapy on their fracture risk