0% Complete
Home
/
13th International Conference on Computer and Knowledge Engineering
Improving Machine Learning Classification of Heart Disease Using the Graph-Based Techniques
Authors :
Abolfazl Dibaji
1
Sadegh Sulaimany
2
1- Department of Computer Engineering University of Kurdistan Sanandaj, Iran
2- Department of Computer Engineering University of Kurdistan Sanandaj, Iran
Keywords :
Machine learning،graph-based،heart disease classification،ECG
Abstract :
Machine learning (ML) has revolutionized healthcare, including, the classification of heart diseases. Traditional ML techniques often struggle with complex and high-dimensional datasets of heart diseases. Graph-based techniques have emerged as a promising approach to address these challenges by capturing intricate relationships between data points. The aim of this article is to apply and improve ML classification of heart diseases using graph-based techniques. This study utilizes a dataset of 1190 samples with 23 features, including features derived from graphs. Several ML models are employed, and their performance is evaluated using accuracy, precision, and recall. The results demonstrate significant advancements in the classification of heart diseases, with the graph-based network model achieving an accuracy of 95%. The superior performance of the graph-based model can be attributed to its ability to take into account complex indirect relationships between risk factors and disease outcomes. Further improvements can be made by considering advanced properties of complex networks, such as their small-world or scale-free characteristics.
Papers List
List of archived papers
Analysis of Address Lifespans in Bitcoin and Ethereum
Amir Mohammad Karimi Mamaghan - Amin Setayesh - Behnam Bahrak
EfficientNetB0’s Hybrid Approach for Brain Tumor Classification from MRI Images Using Deep Learning and Bagging Trees
Yeganeh Modaresnia - Farhad Abedinzadeh Torghabeh - Seyyed Abed Hosseini
A Systematic Embedded Software Design Flow for Robotic Applications
Navid Mahdian - Seyed-Hosein Attarzadeh-Niaki - Armin Salimi-Badr
Optimization of quantum secret sharing communication using corresponding bits
Mahsa Khorrampanah - Mohammad Bolokian - Monireh Houshmand
A scalable blockchain-based educational network for data storage and assessment
Maryam Fattahi Vanani - Hamidreza Shayegh Borujeni - Ali Nourollah
IranITJobs2021: a Dataset for Analyzing Iranian Online IT Job Advertisements Collected Using a New Crowdsourcing Process
Fakhroddin Noorbehbahani - Nikta Akbarpour - Mohammad Reza Saeidi
Optimal PMU Placement Considering Reliability of Measurement System in Smart Grids
Mohammad Shahraeini - Shahla Khormali - Ahad Alvandi
Stock market prediction using multi-objective optimization
Mahshid Zolfaghari - Hamid Fadishei - Mohsen Tajgardan - Reza Khoshkangini
FarCQA: A Farsi Community Dataset for Question Classification and Answer Selection
Saba Emami - Maedeh Mosharraf
An Energy-efficient Clustering Method based on Butterfly Optimization Algorithm by Considering the Criterion of Intra-cluster Distances in WSNs
Fariba Saghi Hadi S. Aghdasi
more
Samin Hamayesh - Version 41.7.6