Developing an ML pipeline for asthma and COPD: The case of a Dutch primary care service

A complex combination of clinical, demographicand lifestyle parameters determines the correct diagnosis and the most effective treatment for asthma and Chronic Obstructive Pulmonary Disease patients. Artificial Intelligence techniques help clinicians in devising the correct diagnosis and designing the most suitable clinical pathway accordingly, tailored to the specific patient conditions. In the case of machine learning (ML) approaches, availability of real-world patient clinical data to train and evaluate the ML pipeline deputed to assist clinicians in their daily practice is crucial. However... Mehr ...

Verfasser: Mariani S.
Lahr M. M. H.
Metting E.
Vargiu E.
Zambonelli F.
Dokumenttyp: Artikel
Erscheinungsdatum: 2021
Schlagwörter: asthma / COPD / diagnosi / machine learning / prediction / primary care / treatment
Sprache: Englisch
Permalink: https://search.fid-benelux.de/Record/base-26676276
Datenquelle: BASE; Originalkatalog
Powered By: BASE
Link(s) : http://hdl.handle.net/11380/1251712