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A machine learning-based pipeline for modeling medical, socio-demographic, lifestyle and self-reported psychological traits as predictors of mental health outcomes after breast cancer diagnosis:An initial effort to define resilience effects

Year of publication

2021

Authors

Kourou, Konstantina; Manikis, Georgios; Poikonen-Saksela, Paula; Mazzocco, Ketti; Pat-Horenczyk, Ruth; Sousa, Berta; Oliveira-Maia, Albino J.; Mattson, Johanna; Roziner, Ilan; Pettini, Greta; Kondylakis, Haridimos; Marias, Kostas; Karademas, Evangelos; Simos, Panagiotis; Fotiadis, Dimitrios
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Organizations and authors

University of Helsinki

Mattson Johanna

Poikonen-Saksela Paula

Helsinki University Hospital Catchment Area

Mattson Johanna

Poikonen-Saksela Paula

Publication type

Publication format

Article

Parent publication type

Journal

Article type

Original article

Audience

Scientific

Peer-reviewed

Peer-Reviewed

MINEDU's publication type classification code

A1 Journal article (refereed), original research

Publication channel information

Journal

Computers in biology and medicine

Parent publication name

Computers in Biology and Medicine

Volume

131

Article number

104266

ISSN

0010-4825

​Publication forum

53971

​Publication forum level

1

Open access

Open access in the publisher’s service

No

Self-archived

No

Other information

Fields of science

Biomedicine; Cancers

Keywords

[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]

Publication country

United Kingdom

Internationality of the publisher

International

Language

English

International co-publication

Yes

Co-publication with a company

No

DOI

10.1016/j.compbiomed.2021.104266

The publication is included in the Ministry of Education and Culture’s Publication data collection

Yes