Predicting Heart Diseases by Selective Machine Learning Algorithms

Predicting Heart Diseases by Selective Machine Learning Algorithms

Heart disease is among the leading causes of mortality worldwide. As a result, it’s critical to diagnose patients appropriately and promptly. Consequently, the objective of this paper was to predict heart diseases using selective machine learning algorithms. The leverage technique was evaluated us...

Full description

Saved in:

Bibliographic Details
Main Authors:	N. Umar, S. K. Hassan, A. Umar, S. S. Ahmed
Format:	Article
Language:	English
Published:	Joint Coordination Centre of the World Bank assisted National Agricultural Research Programme (NARP) 2025-02-01
Series:	Journal of Applied Sciences and Environmental Management
Subjects:	Heart Disease; Feature Improvement; Prediction; Data Smoothing; Feature Engineering
Online Access:	https://www.ajol.info/index.php/jasem/article/view/288089
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Enhancing heart disease classification based on greylag goose optimization algorithm and long short-term memory
by: Ahmed M. Elshewey, et al.
Published: (2025-01-01)

A Novel Approach for Stock Price Prediction Using Gradient Boosting Machine with Feature Engineering (GBM-wFE)
by: Rebwar M. Nabi, et al.
Published: (2020-04-01)

Sustainable Selection of Machine Learning Algorithm for Gender-Bias Attenuated Prediction
by: Raik Orbay, et al.
Published: (2025-01-01)

BIMSSA: enhancing cancer prediction with salp swarm optimization and ensemble machine learning approaches
by: Pinakshi Panda, et al.
Published: (2025-01-01)

A prediction study on the occurrence risk of heart disease in older hypertensive patients based on machine learning
by: Fei Si, et al.
Published: (2025-01-01)

PHYSICS-DRIVEN FEATURE CREATION TO IMPROVE MACHINE LEARNING MODELS PERFORMANCE FOR OIL PRODUCTION RATE PREDICTION
by: Eghbal Motaei, et al.
Published: (2024-12-01)

Missing Risk Factor Prediction in Cardiovascular Disease Using a Blended Dataset and Optimizing Classification With a Stacking Algorithm
by: Jannatul Mauya, et al.
Published: (2025-01-01)

A novel multi-source data-driven energy consumption prediction model for Venlo-type greenhouses in China
by: Yangda Chen, et al.
Published: (2025-03-01)

Improving Diabetes Prediction by Selecting Optimal K and Distance Measures in KNN Classifier
by: Emad Majeed Hameed, et al.
Published: (2024-09-01)

SVM Diagnosis of Gear Fault based on Improved Feature Selection Method
by: Jingjing Tan
Published: (2021-04-01)

Identification of Plasma Proteins Associated with Alzheimer's Disease Using Feature Selection Techniques and Machine Learning Algorithms
by: Zakaria Mokadem, et al.
Published: (2025-02-01)

Part A: Innovative Data Augmentation Approach to Enhance Machine Learning Efficiency—Case Study for Hydrodynamic Purposes
by: Hamed Majidiyan, et al.
Published: (2024-12-01)

A Comparative Study Evaluated the Performance of Two-class Classification Algorithms in Machine Learning
by: Shilan Abdullah Hassan, et al.
Published: (2024-10-01)

Prediction and diagnosis of cardiovascular disease using cloud and machine learning design
by: K. Babu, et al.
Published: (2025-01-01)

Efficient Feature Selection and Hyperparameter Tuning for Improved Speech Signal-Based Parkinson’s Disease Diagnosis via Machine Learning Techniques
by: Deepak Painuli, et al.
Published: (2025-01-01)

Improving Performance of KNN and C4.5 using Particle Swarm Optimization in Classification of Heart Diseases
by: Pareza Alam Jusia, et al.
Published: (2024-06-01)

Fluid volume status detection model for patients with heart failure based on machine learning methods
by: Haozhe Huang, et al.
Published: (2025-01-01)

Development and validation of a prediction model for coronary heart disease risk in depressed patients aged 20 years and older using machine learning algorithms
by: Yicheng Wang, et al.
Published: (2025-01-01)

Stacking ensemble learning with heterogeneous models and selected feature subset for prediction of service trust in internet of medical things
by: Junyu Ren, et al.
Published: (2023-03-01)

Prediction of urinary tract infection using machine learning methods: a study for finding the most-informative variables
by: Sajjad Farashi, et al.
Published: (2025-01-01)

Machine and deep learning performance in out-of-distribution regressions
by: Assaf Shmuel, et al.
Published: (2025-01-01)

IoT Security: Botnet Detection Using Self-Organizing Feature Map and Machine Learning
by: Susanto, et al.
Published: (2024-12-01)

Chaotic gradient based optimization with fuzzy temporal optimized CNN for heart failure prediction
by: G. Kajeeth Kumar, et al.
Published: (2025-01-01)

Quantitative Physiologic MRI Combined with Feature Engineering for Developing Machine Learning-Based Prediction Models to Distinguish Glioblastomas from Single Brain Metastases
by: Seyyed Ali Hosseini, et al.
Published: (2024-12-01)

Multi-label feature selection algorithm based on joint mutual information of max-relevance and min-redundancy
by: Li ZHANG, et al.
Published: (2018-05-01)

Enhancing rice seed purity recognition accuracy based on optimal feature selection
by: Thi-Thu-Hong Phan, et al.
Published: (2025-05-01)

Cloud-Based Intrusion Detection Approach Using Machine Learning Techniques
by: Hanaa Attou, et al.
Published: (2023-09-01)

Evaluation of machine learning algorithms in tunnel boring machine applications: a case study in Mashhad metro line 3
by: Morteza Abbasi, et al.
Published: (2024-12-01)

Breast Cancer Detection Using Ensemble Classifiers for Accuracy Improvement
by: Mahboubeh Shamsi, et al.
Published: (2023-03-01)

Fault diagnosis of a CNC hobbing cutter through machine learning using three axis vibration data
by: Nagesh Tambake, et al.
Published: (2025-01-01)

Spam detection using hybrid model on fusion of spammer behavior and linguistics features
by: Amna Iqbal, et al.
Published: (2025-03-01)

Advance in Significant Wave Height Prediction: A Comprehensive Survey
by: Jinyuan Mo, et al.
Published: (2024-12-01)

Digital watermarking algorithm in SWT domain based on robust local feature
by: Panpan NIU, et al.
Published: (2019-11-01)

Predicting financial distress in high-dimensional imbalanced datasets: a multi-heterogeneous self-paced ensemble learning framework
by: Ruize Gao, et al.
Published: (2025-01-01)

Machine learning algorithm for predict the in-hospital mortality in critically ill patients with congestive heart failure combined with chronic kidney disease
by: Xunliang Li, et al.
Published: (2024-12-01)

Efficient Encoding and Decoding of Voxelized Models for Machine Learning-Based Applications
by: Damjan Strnad, et al.
Published: (2025-01-01)

Software Defect Prediction For Quality Evaluation Using Learning Techniques Ensemble Stacking
by: Muhammad Romadhona Kusuma, et al.
Published: (2023-11-01)

Improving the Accuracy of Early Detection of Parkinson's Disease Using Brain Signals Based on Feature Selection in Machine Learning
by: Shamimeh Sadat Nabavi Monfared, et al.
Published: (2024-09-01)

Artificial Flora Algorithm-Based Feature Selection With Support Vector Machine for Cardiovascular Disease Classification
by: M. M. Asha, et al.
Published: (2025-01-01)

Feature selection method for software defect number prediction based on maximum information coefficient
by: Guoqing LIU, et al.
Published: (2021-05-01)