Machine-learned models using hematological inflammation markers in the prediction of short-term acute coronary syndrome outcomes

K. Pieszko; J. Hiczkiewicz; P. Budzianowski; J. Rzeźniczak; Jerzy Błaszczyński; Roman Słowiński; P. Burchardt

doi:10.1186/s12967-018-1702-5

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Title

Machine-learned models using hematological inflammation markers in the prediction of short-term acute coronary syndrome outcomes

Authors

K. Pieszko
J. Hiczkiewicz
P. Budzianowski
J. Rzeźniczak
Jerzy Błaszczyński (WI) ^{[ 1 ][ 2.3 ][ P ]}
Roman Słowiński (WI) ^{[ 1 ][ 2.3 ][ P ]}
P. Burchardt

^{[ 1 ]} Instytut Informatyki, Wydział Informatyki, Politechnika Poznańska | ^{[ P ]} employee

Scientific discipline (Law 2.0)

[2.3] Information and communication technology

Year of publication

2018

Published in

Journal of Translational Medicine

Journal year: 2018 | Journal volume: vol. 16 | Journal number: iss. 1

Article type

scientific article

Publication language

english

Keywords

EN

acute coronary syndrome
machine learning
risk assessment
biomarkers
inflammation
outcomes research

Date of online publication

03.12.2018

Pages (from - to)

1 - 12

DOI

10.1186/s12967-018-1702-5

License type

CC BY (attribution alone)

Open Access Mode

publisher's website

Open Access Text Version

final published version

Date of Open Access to the publication

at the time of publication

Ministry points / journal

35

Ministry points / journal in years 2017-2021

35

Impact Factor

4,098

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