AN ENHANCED DEEP LEARNING BASED HEART DISEASE PREDICTION MODEL (DL-HDP) USING PARTICLE SWARM OPTIMIZATION.
The role of heart disease prediction in healthcare is especially important, as it allows taking timely actions and making informed decisions. This paper has proposed an Enhanced Deep Learning-based Heart Disease Prediction Model (DL-HDP) that integrates optimization via Particle Swarm Optimization (...
| Publicado en: | Scientific Culture Vol. 12; no. 1, Part 1; pp. 2439 - 2451 |
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| Autores principales: | , , , |
| Formato: | Artículo |
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University of the Aegean
2026
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| Acceso en línea: | Ver este registro en EBSCOhost |
| fields | @attributes: recordID: 1 pdfLink: plink: https://search.ebscohost.com/login.aspx?direct=true&db=hlh&AN=192213585&site=ehost-live header: @attributes: shortDbName: hlh uiTerm: 192213585 longDbName: Humanities International Complete uiTag: AN controlInfo: bkinfo: jinfo: jid: 24080071 I6HU jtl: Scientific Culture issn: 24080071 maglogo: N pubinfo: dt: 2026 vid: 12 iid: 1, Part 1 pid: 47715 pub: University of the Aegean artinfo: ui: 192213585 10.5281/zenodo.121126171 ppf: 2439 ppct: 12 formats: tig: atl: AN ENHANCED DEEP LEARNING BASED HEART DISEASE PREDICTION MODEL (DL-HDP) USING PARTICLE SWARM OPTIMIZATION. aug: au: Venkataraman, Haripriya Ramachandraprabu, Surya Prakash T., Senthil Kumar A., Sridevi affil: Lead Engineer - Machine Learning, Flybuys, Australia. Senior Specialist - Enterprise Data, Yarra Valley Water, Australia. Professor, Department of Computing Technologies, Faculty of Engineering & Technology, SRM Institute of Science and Technology, Kattankulathur, Chennai, India. Professor, Department of ECE, M.Kumarasamy College of Engineering, Karur, Tamilnadu, India. su: Deep learning Particle swarm optimization Feature selection Multilayer perceptrons Machine learning Diagnosis sug: subj: Deep learning Particle swarm optimization Feature selection Multilayer perceptrons Machine learning Diagnosis keyword: Classification Accuracy Deep Learning Healthcare Heart Disease Prediction Hyperparameter Tuning Multilayer Perceptron (MLP) Particle Swarm Optimization (PSO) ab: The role of heart disease prediction in healthcare is especially important, as it allows taking timely actions and making informed decisions. This paper has proposed an Enhanced Deep Learning-based Heart Disease Prediction Model (DL-HDP) that integrates optimization via Particle Swarm Optimization (PSO). The model is based on the deep learning model, namely Multilayer Perceptron (MLP), to classify heart disease with the use critical medical features like age, blood pressure, cholesterol levels, and ECG results. It uses PSO optimization algorithm to tune hyperparameters and select features and optimizes hyperparameters to tune the number of neurons, learning rates, and activation functions to improve the performance of the model. The performance of DL-HDP on experimental data proves that it is much more accurate, precise, and recalls than any traditional machine learning algorithms, proving the potency of deep learning with nature-inspired optimization. This is a valid method that has resulted in a reliable and effective tool in identifying heart disease early on, which is in aid of informing better clinical practice. pubtype: Academic Journal doctype: Article src: R language: English refInfo: copyright: @attributes: flag: Y dt: @attributes: year: 2026 holdings: @attributes: islocal: N |
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