p-Health in Breast Oncology: A Framework for Predictive and Participatory e-Systems

José Manuel Matos Ribeiro da Fonseca; DEE Group Author

doi:10.1109/DeSE.2009.68

p-Health in Breast Oncology: A Framework for Predictive and Participatory e-Systems

José Manuel Matos Ribeiro da Fonseca, DEE Group Author

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

1 Citation (Scopus)

Abstract

Maintaining the financial sustainability of healthcare provision makes developments in e-Systems of the utmost priority in healthcare. In particular, it leads to a radical review of healthcare delivery for the future as personalised, preventive, predictive and participatory, or p-Health. It is a vision that places e-Systems at the core of healthcare delivery, in contrast to current practice . This view of the demands of the 21st century sets an agenda that builds upon advances in engineering devices and computing infrastructure , but also computational intelligence and new models for communication between healthcare providers and the public. This paper gives an overview of p-Health with reference to decision support in breast cancer.

Original language	Unknown
Title of host publication	-
Pages	123-129
DOIs	https://doi.org/10.1109/DeSE.2009.68
Publication status	Published - 1 Jan 2009
Event	2009 Second International Conference on Developments in eSystems Engineering (DESE), - Duration: 1 Jan 2009 → …

Conference

Conference	2009 Second International Conference on Developments in eSystems Engineering (DESE),
Period	1/01/09 → …

Access to Document

10.1109/DeSE.2009.68

http://oa.uninova.pt/2128/

Cite this

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title = "p-Health in Breast Oncology: A Framework for Predictive and Participatory e-Systems",

abstract = "Maintaining the financial sustainability of healthcare provision makes developments in e-Systems of the utmost priority in healthcare. In particular, it leads to a radical review of healthcare delivery for the future as personalised, preventive, predictive and participatory, or p-Health. It is a vision that places e-Systems at the core of healthcare delivery, in contrast to current practice . This view of the demands of the 21st century sets an agenda that builds upon advances in engineering devices and computing infrastructure , but also computational intelligence and new models for communication between healthcare providers and the public. This paper gives an overview of p-Health with reference to decision support in breast cancer.",

keywords = "machine learning, cancer, decision support, personalized medicine",

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year = "2009",

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AU - DEE Group Author

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N2 - Maintaining the financial sustainability of healthcare provision makes developments in e-Systems of the utmost priority in healthcare. In particular, it leads to a radical review of healthcare delivery for the future as personalised, preventive, predictive and participatory, or p-Health. It is a vision that places e-Systems at the core of healthcare delivery, in contrast to current practice . This view of the demands of the 21st century sets an agenda that builds upon advances in engineering devices and computing infrastructure , but also computational intelligence and new models for communication between healthcare providers and the public. This paper gives an overview of p-Health with reference to decision support in breast cancer.

AB - Maintaining the financial sustainability of healthcare provision makes developments in e-Systems of the utmost priority in healthcare. In particular, it leads to a radical review of healthcare delivery for the future as personalised, preventive, predictive and participatory, or p-Health. It is a vision that places e-Systems at the core of healthcare delivery, in contrast to current practice . This view of the demands of the 21st century sets an agenda that builds upon advances in engineering devices and computing infrastructure , but also computational intelligence and new models for communication between healthcare providers and the public. This paper gives an overview of p-Health with reference to decision support in breast cancer.

KW - machine learning

KW - cancer

KW - decision support

KW - personalized medicine

U2 - 10.1109/DeSE.2009.68

DO - 10.1109/DeSE.2009.68

M3 - Conference contribution

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EP - 129

BT - -

Y2 - 1 January 2009

ER -