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Survivability Prediction of Colorectal Cancer Patients: A System with Evolving Features for Continuous Improvement

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Survivability Prediction of Colorectal Cancer Patients: A System with Evolving Features for Continuous Improvement

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Oliveira, T.; Silva, A.; Satoh, K.; Julian Inglada, VJ.; Leao, P.; Novais, P. (2018). Survivability Prediction of Colorectal Cancer Patients: A System with Evolving Features for Continuous Improvement. Sensors. 18(9). https://doi.org/10.3390/s18092983

Por favor, use este identificador para citar o enlazar este ítem: http://hdl.handle.net/10251/146155

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Title: Survivability Prediction of Colorectal Cancer Patients: A System with Evolving Features for Continuous Improvement
Author: Oliveira, Tiago Silva, Ana Satoh, Ken Julian Inglada, Vicente Javier Leao, Pedro Novais, Paulo
UPV Unit: Universitat Politècnica de València. Departamento de Sistemas Informáticos y Computación - Departament de Sistemes Informàtics i Computació
Issued date:
Abstract:
[EN] Prediction in health care is closely related with the decision-making process. On the one hand, accurate survivability prediction can help physicians decide between palliative care or other practice for a patient. On ...[+]
Subjects: Survivability prediction , Clinical decision support , Machine learning
Copyrigths: Reconocimiento (by)
Source:
Sensors. (eissn: 1424-8220 )
DOI: 10.3390/s18092983
Publisher:
MDPI AG
Publisher version: https://doi.org/10.3390/s18092983
Thanks:
The work of Tiago Oliveira was supported by JSPS KAKENHI Grant Number JP18K18115.
Type: Artículo

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