Predictive modeling of nontuberculous mycobacterial pulmonary disease epidemiology using German health claims data

Predictive modeling of nontuberculous mycobacterial pulmonary disease epidemiology using German health claims data

Objectives: Administrative claims data are prone to underestimate the burden of non-tuberculous mycobacterial pulmonary disease (NTM-PD). Methods: We developed machine learning-based algorithms using historical claims data from cases with NTM-PD to predict patients with a high probability of having...

Full description

Bibliographic Details
Main Authors: Felix C. Ringshausen, Raphael Ewen, Jan Multmeier, Bondo Monga, Marko Obradovic, Roald van der Laan, Roland Diel
Format: Article
Language:English
Published: Elsevier 2021-03-01
Series:International Journal of Infectious Diseases
Subjects:
Epidemiology
Insurance claims analysis
Machine learning
Nontuberculous mycobacteria
Nontuberculous mycobacterium infections
Probability learning
Online Access:http://www.sciencedirect.com/science/article/pii/S1201971221000060

Internet

http://www.sciencedirect.com/science/article/pii/S1201971221000060

Similar Items