A Clinical Decision Support System for Breast Cancer Patients - Emerging Trends in Technological Innovation Access content directly
Conference Papers Year : 2010

A Clinical Decision Support System for Breast Cancer Patients


This paper proposes a Web clinical decision support system for clinical oncologists and for breast cancer patients making prognostic assessments, using the particular characteristics of the individual patient. This system comprises three different prognostic modelling methodologies: the clinically widely used Nottingham prognostic index (NPI); the Cox regression modelling and a partial logistic artificial neural network with automatic relevance determination (PLANN-ARD). All three models yield a different prognostic index that can be analysed together in order to obtain a more accurate prognostic assessment of the patient. Missing data is incorporated in the mentioned models, a common issue in medical data that was overcome using multiple imputation techniques. Risk group assignments are also provided through a methodology based on regression trees, where Boolean rules can be obtained expressed with patient characteristics.
Fichier principal
Vignette du fichier
FernandesAJEFL10.pdf (308.46 Ko) Télécharger le fichier
Origin : Files produced by the author(s)

Dates and versions

hal-01060795 , version 1 (24-11-2017)





Ana S. Fernandes, Pedro Alves, Ian H. Jarman, Terence A. Etchells, José M. Fonseca, et al.. A Clinical Decision Support System for Breast Cancer Patients. First IFIP WG 5.5/SOCOLNET Doctoral Conference on Computing, Electrical and Industrial Systems (DoCEIS), Feb 2010, Costa de Caparica, Portugal. pp.121-128, ⟨10.1007/978-3-642-11628-5_13⟩. ⟨hal-01060795⟩
68 View
128 Download



Gmail Facebook X LinkedIn More