Automated Diagnostic Model Based on Heart Tissue Isoline Map Analysis

Olga Senyukova, Danuta Brotikovskaya, Svetlana Gorokhova, Ekaterina Tebenkova

2017

Abstract

Automated heart disease diagnostics is an important problem, especially for tissue structure defect cases. A new approach to automated diagnostics based on supervised machine learning algorithms is described in this paper. Main heart tissue layer, left ventricle myocardium, characteristics based on isoline map analysis are utilized at feature model construction stage. Histogram-based features are also extracted for comparison with the proposed method. Feature selection using chi-squared test and information gain is performed. SVM and Random Forest classifiers are used for normal/abnormal classification of left ventricle myocardium images. Different combinations of feature models and classifiers were evaluated and promising results were achieved. Isoline map-based features demonstrated superiority over histogram-based feature model and the best F-score value was above 96% on real data.

Download


Paper Citation


in Harvard Style

Senyukova O., Brotikovskaya D., Gorokhova S. and Tebenkova E. (2017). Automated Diagnostic Model Based on Heart Tissue Isoline Map Analysis.In Proceedings of the 9th International Joint Conference on Computational Intelligence - Volume 1: IJCCI, ISBN 978-989-758-274-5, pages 360-366. DOI: 10.5220/0006518203600366


in Bibtex Style

@conference{ijcci17,
author={Olga Senyukova and Danuta Brotikovskaya and Svetlana Gorokhova and Ekaterina Tebenkova},
title={Automated Diagnostic Model Based on Heart Tissue Isoline Map Analysis},
booktitle={Proceedings of the 9th International Joint Conference on Computational Intelligence - Volume 1: IJCCI,},
year={2017},
pages={360-366},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0006518203600366},
isbn={978-989-758-274-5},
}


in EndNote Style

TY - CONF

JO - Proceedings of the 9th International Joint Conference on Computational Intelligence - Volume 1: IJCCI,
TI - Automated Diagnostic Model Based on Heart Tissue Isoline Map Analysis
SN - 978-989-758-274-5
AU - Senyukova O.
AU - Brotikovskaya D.
AU - Gorokhova S.
AU - Tebenkova E.
PY - 2017
SP - 360
EP - 366
DO - 10.5220/0006518203600366