Deep learning-based prediction of one-year mortality in Finland is an accurate but unfair aging marker
Year of publication
2024
Authors
Vabalas, Andrius; Hartonen, Tuomo; Vartiainen, Pekka; Jukarainen, Sakari; Viippola, Essi; Rodosthenous, Rodosthenis S.; Liu, Aoxing; Hägg, Sara; Perola, Markus; Ganna, Andrea
Organizations and authors
University of Helsinki
Ganna Andrea
Vabalas Andrius
Liu Aoxing
Viippola Essi
Perola Markus
Vartiainen Pekka
Rodosthenous Rodosthenis S.
Jukarainen Sakari
Hartonen Tuomo
Helsinki University Hospital
Ganna Andrea
Vabalas Andrius
Liu Aoxing
Viippola Essi
Perola Markus
Vartiainen Pekka
Rodosthenous Rodosthenis S.
Jukarainen Sakari
Hartonen Tuomo
Finnish Institute for Health and Welfare
Perola Markus
Publication type
Publication format
Article
Report
No
Parent publication type
Journal
Article type
Original articleAudience
ScientificPeer-reviewed
Peer-ReviewedMINEDU's publication type classification code
A1 Journal article (refereed), original researchPublication channel information
Journal/Series
Parent publication name
Volume
4
Pages
1014–1027
ISSN
Publication forum
Publication forum level
1
Open access
Open access in the publisher’s service
Yes
Open access of publication channel
Partially open publication channel
License of the publisher’s version
CC BY
Self-archived
Yes
License of the self-archived publication
CC BY
Other information
Fields of science
Biochemistry, cell and molecular biology; Neurosciences; General medicine, internal medicine and other clinical medicine; Neurology and psychiatry
Identified topic
[object Object]
Publication country
United States
Internationality of the publisher
International
Language
English
International co-publication
Yes
Co-publication with a company
No
DOI
10.1038/s43587-024-00657-5
The publication is included in the Ministry of Education and Culture’s Publication data collection
Yes