Rapid learning in practice:a lung cancer survival decision support system in routine patient care data
BACKGROUND AND PURPOSE: A rapid learning approach has been proposed to extract and apply knowledge from routine care data rather than solely relying on clinical trial evidence. To validate this in practice we deployed a previously developed decision support system (DSS) in a typical, busy clinic for non-small cell lung cancer (NSCLC) patients. MATERIAL AND METHODS: Gender, age, performance status, lung function, lymph node status, tumor volume and survival were extracted without review from clinical data sources for lung cancer patients. With these data the DSS was tested to predict overall su... Mehr ...
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Dokumenttyp: | Artikel |
Erscheinungsdatum: | 2014 |
Reihe/Periodikum: | Dekker , A , Vinod , S , Holloway , L , Oberije , C , George , A , Goozee , G , Delaney , G P , Lambin , P & Thwaites , D 2014 , ' Rapid learning in practice : a lung cancer survival decision support system in routine patient care data ' , Radiotherapy and Oncology , vol. 113 , no. 1 , pp. 47-53 . https://doi.org/10.1016/j.radonc.2014.08.013 |
Schlagwörter: | Aged / Carcinoma / Non-Small-Cell Lung / Decision Support Techniques / Female / Humans / Kaplan-Meier Estimate / Lung Neoplasms / Male / Neoplasm Staging / Netherlands / New South Wales / Patient Care / Professional Practice / Prognosis |
Sprache: | Englisch |
Permalink: | https://search.fid-benelux.de/Record/base-28775081 |
Datenquelle: | BASE; Originalkatalog |
Powered By: | BASE |
Link(s) : | https://cris.maastrichtuniversity.nl/en/publications/9c56e25c-b316-459f-a702-b28ffa918680 |