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Dataset Information

Artificial intelligence to differentiate asthma from COPD in medico-administrative databases.


ABSTRACT:

Introduction

Discriminating asthma from chronic obstructive pulmonary disease (COPD) using medico-administrative databases is challenging but necessary for medico-economic analyses focusing on respiratory diseases. Artificial intelligence (AI) may improve dedicated algorithms.

Objectives

To assess performance of different AI-based approaches to distinguish asthmatics from COPD patients in medico-administrative databases where the clinical diagnosis is absent. An "Asthma COPD Overlap" category was defined to further test whether AI can detect complexity.

Methods

This study included 178,962 patients treated by two "R03" treatment prescriptions at least from January 2016 to December 2018 and managed by either a general practitioner and/or a pulmonologist participating in

SUBMITTER: Joumaa H 

PROVIDER: S-EPMC9487098 | biostudies-literature | 2022 Sep

REPOSITORIES: biostudies-literature