Balancing accuracy and cost in machine learning models for detecting medial vascular calcification in chronic kidney disease: a pilot study

Urszula Bialonczyk; Malgorzata Debowska; Lu Dai; Abdul Rashid Qureshi; Leon Bobrowski; Magnus Soderberg; Bengt Lindholm; Peter Stenvinkel; Tomasz Lukaszuk; Jan Poleszczuk

doi:10.1038/s41598-025-02457-2

Balancing accuracy and cost in machine learning models for detecting medial vascular calcification in chronic kidney disease: a pilot study

U Urszula Bialonczyk M Malgorzata Debowska L Lu Dai A Abdul Rashid Qureshi L Leon Bobrowski M Magnus Soderberg B Bengt Lindholm P Peter Stenvinkel T Tomasz Lukaszuk J Jan Poleszczuk

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Article Details

Journal Scientific Reports

Volume / Issue Vol. 15, Issue 1

Published May 20, 2025

DOI 10.1038/s41598-025-02457-2

ISSN 2045-2322

Publisher Nature Portfolio

Journal Info

Scientific Reports

Nature Portfolio

ISSN: 2045-2322 Open Access Life Sciences

Authors (10)

U

Urszula Bialonczyk

M

Malgorzata Debowska

L

Lu Dai

A

Abdul Rashid Qureshi

L

Leon Bobrowski

M

Magnus Soderberg

B

Bengt Lindholm

P

Peter Stenvinkel

T

Tomasz Lukaszuk

J

Jan Poleszczuk

Balancing accuracy and cost in machine learning models for detecting medial vascular calcification in chronic kidney disease: a pilot study

Article Details

Journal Info

Authors (10)

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