Breast Cancer Prognosis Using a Machine Learning Approach.
artificial intelligence
breast cancer prognosis
decision support systems
machine learning
Journal
Cancers
ISSN: 2072-6694
Titre abrégé: Cancers (Basel)
Pays: Switzerland
ID NLM: 101526829
Informations de publication
Date de publication:
07 Mar 2019
07 Mar 2019
Historique:
received:
18
12
2018
revised:
26
02
2019
accepted:
04
03
2019
entrez:
15
3
2019
pubmed:
15
3
2019
medline:
15
3
2019
Statut:
epublish
Résumé
Machine learning (ML) has been recently introduced to develop prognostic classification models that can be used to predict outcomes in individual cancer patients. Here, we report the significance of an ML-based decision support system (DSS), combined with random optimization (RO), to extract prognostic information from routinely collected demographic, clinical and biochemical data of breast cancer (BC) patients. A DSS model was developed in a training set (
Identifiants
pubmed: 30866535
pii: cancers11030328
doi: 10.3390/cancers11030328
pmc: PMC6468737
pii:
doi:
Types de publication
Journal Article
Langues
eng
Subventions
Organisme : European Social Fund
ID : PNR 2015-2020 ARS01_01163 PerMedNet - CUP B66G18000220005
Organisme : European Social Fund
ID : PON I&C 2014-2020 - F/050383/01-03/X32
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