A method to measure data complexity of a complicated medical data set-Reference-Cited by-同舟云学术

A method to measure data complexity of a complicated medical data set

Published:2022-05-27 Issue:6 Volume:32 Page:1822-1831
ISSN:0899-9457
Container-title:International Journal of Imaging Systems and Technology
language:en
Short-container-title:Int J Imaging Syst Tech

Author:

Juhola Martti¹^ORCID,Joutsijoki Henry¹,Penttinen Kirsi²,Shah Disheet³,Aalto‐Setälä Katriina²⁴

Affiliation:

1. Faculty of Information Technology and Communication Sciences Tampere University Tampere Finland

2. Faculty of Medicine and Health Technology Tampere University Tampere Finland

3. Department of Pharmacology Northwestern University Chicago Illinois USA

4. Heart Center Tampere University Hospital Tampere Finland

Funder

Academy of Finland

Publisher

Wiley

Subject

Electrical and Electronic Engineering,Computer Vision and Pattern Recognition,Software,Electronic, Optical and Magnetic Materials

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1002/ima.22760

Reference22 articles.

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3. Differentiation of genetic cardiac diseases on the basis of artificial intelligence;Juhola M;Eur J Biomed Inform,2019

4. Distinct electrophysiological and mechanical beating phenotypes of long QT syndrome type 1‐specific cardiomyocytes carrying different mutations;Kiviaho AL;Int J Cardiol Heart Vasc,2015

5. Low extracellular potassium prolongs repolarization and evokes early afterdepolarization in human induced pluripotent stem cell-derived cardiomyocytes

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