Survival analysis with Cox regression and random non-linear projections

Samuel Branders; Benoît Frénay; Pierre Dupont

Survival analysis with Cox regression and random non-linear projections

Samuel Branders, Benoît Frénay, Pierre Dupont

Résultats de recherche: Contribution dans un livre/un catalogue/un rapport/dans les actes d'une conférence › Article dans les actes d'une conférence/un colloque

Résumé

Proportional Cox hazard models are commonly used in survival analysis, since they define risk scores which can be directly interpreted in terms of hazards. Yet they cannot account for non-linearities in their covariates. This paper shows how to use random non-linear projections to efficiently address this limitation.

langue originale	Anglais
titre	23rd European Symposium on Artificial Neural Networks, Computational Intelligence and Machine Learning, ESANN 2015 - Proceedings
Editeur	i6doc.com publication
Pages	119-124
Nombre de pages	6
ISBN (Electronique)	9782875870148
Etat de la publication	Publié - 2015
Evénement	23rd European Symposium on Artificial Neural Networks, Computational Intelligence and Machine Learning, ESANN 2015 - Bruges, Belgique Durée: 22 avr. 2015 → 24 avr. 2015

Une conférence

Une conférence	23rd European Symposium on Artificial Neural Networks, Computational Intelligence and Machine Learning, ESANN 2015
Pays/Territoire	Belgique
La ville	Bruges
période	22/04/15 → 24/04/15

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Link to publication in Scopus

Contient cette citation

@inproceedings{a44f8c1ee9ac4147a0107315b08b62e2,

title = "Survival analysis with Cox regression and random non-linear projections",

abstract = "Proportional Cox hazard models are commonly used in survival analysis, since they define risk scores which can be directly interpreted in terms of hazards. Yet they cannot account for non-linearities in their covariates. This paper shows how to use random non-linear projections to efficiently address this limitation.",

author = "Samuel Branders and Beno{\^i}t Fr{\'e}nay and Pierre Dupont",

year = "2015",

language = "English",

pages = "119--124",

booktitle = "23rd European Symposium on Artificial Neural Networks, Computational Intelligence and Machine Learning, ESANN 2015 - Proceedings",

publisher = "i6doc.com publication",

note = "23rd European Symposium on Artificial Neural Networks, Computational Intelligence and Machine Learning, ESANN 2015 ; Conference date: 22-04-2015 Through 24-04-2015",

}

Branders, S, Frénay, B & Dupont, P 2015, Survival analysis with Cox regression and random non-linear projections. Dans 23rd European Symposium on Artificial Neural Networks, Computational Intelligence and Machine Learning, ESANN 2015 - Proceedings. i6doc.com publication, p. 119-124, 23rd European Symposium on Artificial Neural Networks, Computational Intelligence and Machine Learning, ESANN 2015, Bruges, Belgique, 22/04/15.

Survival analysis with Cox regression and random non-linear projections. / Branders, Samuel; Frénay, Benoît; Dupont, Pierre.
23rd European Symposium on Artificial Neural Networks, Computational Intelligence and Machine Learning, ESANN 2015 - Proceedings. i6doc.com publication, 2015. p. 119-124.

Résultats de recherche: Contribution dans un livre/un catalogue/un rapport/dans les actes d'une conférence › Article dans les actes d'une conférence/un colloque

TY - GEN

T1 - Survival analysis with Cox regression and random non-linear projections

AU - Branders, Samuel

AU - Frénay, Benoît

AU - Dupont, Pierre

PY - 2015

Y1 - 2015

N2 - Proportional Cox hazard models are commonly used in survival analysis, since they define risk scores which can be directly interpreted in terms of hazards. Yet they cannot account for non-linearities in their covariates. This paper shows how to use random non-linear projections to efficiently address this limitation.

AB - Proportional Cox hazard models are commonly used in survival analysis, since they define risk scores which can be directly interpreted in terms of hazards. Yet they cannot account for non-linearities in their covariates. This paper shows how to use random non-linear projections to efficiently address this limitation.

UR - http://www.scopus.com/inward/record.url?scp=84961827973&partnerID=8YFLogxK

M3 - Conference contribution

AN - SCOPUS:84961827973

SP - 119

EP - 124

BT - 23rd European Symposium on Artificial Neural Networks, Computational Intelligence and Machine Learning, ESANN 2015 - Proceedings

PB - i6doc.com publication

T2 - 23rd European Symposium on Artificial Neural Networks, Computational Intelligence and Machine Learning, ESANN 2015

Y2 - 22 April 2015 through 24 April 2015

ER -

Survival analysis with Cox regression and random non-linear projections

Résumé

Une conférence

Autres fichiers et liens

Empreinte digitale

Contient cette citation