RDET stacking classifier: a novel machine learning based approach for stroke prediction using imbalance data

RDET stacking classifier: a novel machine learning based approach for stroke prediction using imbalance data

The main cause of stroke is the unexpected blockage of blood flow to the brain. The brain cells die if blood is not supplied to them, resulting in body disability. The timely identification of medical conditions ensures patients receive the necessary treatments and assistance. This early diagnosis p...

Full description

Bibliographic Details
Main Authors:	Amjad Rehman, Teg Alam, Muhammad Mujahid, Faten S. Alamri, Bayan Al Ghofaily, Tanzila Saba
Format:	Article
Language:	English
Published:	PeerJ Inc. 2023-11-01
Series:	PeerJ Computer Science
Subjects:	Stacking ensemble Machine learning Stroke prediction SMOTE Voting classifier
Online Access:	https://peerj.com/articles/cs-1684.pdf

Similar Items

A Sampling-Based Stack Framework for Imbalanced Learning in Churn Prediction
by: Soumi De, et al.
Published: (2022-01-01)

An Empirical Analysis of Machine Learning Algorithms for Crime Prediction Using Stacked Generalization: An Ensemble Approach
by: Sapna Singh Kshatri, et al.
Published: (2021-01-01)

FEATURE SUB-SPACING BASED STACKING FOR EFFECTIVE IMBALANCE HANDLING IN SENSITIVE DATA
by: S Josephine Theresa, et al.
Published: (2021-10-01)

An Efficient Ensemble Approach for Alzheimer’s Disease Detection Using an Adaptive Synthetic Technique and Deep Learning
by: Muhammad Mujahid, et al.
Published: (2023-07-01)

Real-Time Underwater Acoustic Homing Weapon Target Recognition Based on a Stacking Technique of Ensemble Learning
by: Jianjing Deng, et al.
Published: (2023-12-01)

Soft voting ensemble model to improve Parkinson’s disease prediction with SMOTE
by: Jumanto Unjung, et al.
Published: (2025-02-01)

Optimization of Cocoa Pods Maturity Classification Using Stacking and Voting with Ensemble Learning Methods in RGB and LAB Spaces
by: Kacoutchy Jean Ayikpa, et al.
Published: (2024-12-01)

Multi-Fault Detection and Classification of Wind Turbines Using Stacking Classifier
by: Prince Waqas Khan, et al.
Published: (2022-09-01)

Analysis of the Ensemble method Classifier's performance on Handwritten Arabic Characters dataset
by: Abdul Rachman Manga', et al.
Published: (2023-04-01)

Pendekatan Metode Ensemble Learning untuk Prakiraan Cuaca menggunakan Soft Voting Classifier
by: Steven Joses, et al.
Published: (2024-06-01)

A stacked ensemble approach with resampling techniques for highly effective fraud detection in imbalanced datasets
by: Idongesit E. Eteng, et al.
Published: (2025-02-01)

Efficient Heart Disease Classification Through Stacked Ensemble with Optimized Firefly Feature Selection
by: Krishnamoorthy Natarajan, et al.
Published: (2024-07-01)

Brake fault diagnosis using a voting ensemble of machine learning classifiers
by: Sivagurunathan Viswanathan, et al.
Published: (2024-09-01)

Two Majority Voting Classifiers Applied to Heart Disease Prediction
by: Talha Karadeniz, et al.
Published: (2023-03-01)

Learning a Nonlinear Combination of Generalized Heterogeneous Classifiers
by: M. Rahimi, et al.
Published: (2023-01-01)

Novel stacking models based on SMOTE for the prediction of rockburst grades at four deep gold mines
by: Peng Xiao, et al.
Published: (2024-12-01)

An improved soft voting-based machine learning technique to detect breast cancer utilizing effective feature selection and SMOTE-ENN class balancing
by: Indu Chhillar, et al.
Published: (2025-01-01)

Innovative Date Fruit Classifier Based on Scatter Wavelet and Stacking Ensemble
by: Ali A. Al-Kharaz, et al.
Published: (2024-06-01)

Evaluating the Performance of Voting Classifier in Multiclass Classification of Dry Bean Varieties
by: I Putu Adi Pratama, et al.
Published: (2024-03-01)

Heart Disease Prediction Using Concatenated Hybrid Ensemble Classifiers
by: Annwesha Banerjee Majumder, et al.
Published: (2023-11-01)

Integration and Selection of Linear SVM Classifiers in Geometric Space
by: Robert Burduk, et al.
Published: (2019-06-01)

Cardiovascular and Diabetes Diseases Classification Using Ensemble Stacking Classifiers with SVM as a Meta Classifier
by: Asfandyar Khan, et al.
Published: (2022-10-01)

Computer-aided diagnostic for classifying chest X-ray images using deep ensemble learning
by: Lara Visuña, et al.
Published: (2022-10-01)

Advanced Tax Fraud Detection: A Soft-Voting Ensemble Based on GAN and Encoder Architecture
by: Masad A. Alrasheedi, et al.
Published: (2025-02-01)

Enhancing Accuracy by Using Boosting and Stacking Techniques on the Random Forest Algorithm on Data from Social Media X
by: Teri Ade Putra, et al.
Published: (2024-08-01)

En-RfRsK: An ensemble machine learning technique for prognostication of diabetes mellitus
by: Bhuvaneswari Amma N.G.
Published: (2024-03-01)

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 voting ensemble classifier for stress detection
by: Sami Hadhri, et al.
Published: (2024-07-01)

Decision Tree Integration Using Dynamic Regions of Competence
by: Jędrzej Biedrzycki, et al.
Published: (2020-10-01)

A Novel Bearing Multi-Fault Diagnosis Approach Based on Weighted Permutation Entropy and an Improved SVM Ensemble Classifier
by: Shenghan Zhou, et al.
Published: (2018-06-01)

Stack-VTP: prediction of vesicle transport proteins based on stacked ensemble classifier and evolutionary information
by: Yu Chen, et al.
Published: (2023-04-01)

An improved selective ensemble learning approach in enabling load classification considering base classifier redundancy and class imbalance
by: Shiqian Wang, et al.
Published: (2022-09-01)

Rockburst Intensity Classification Prediction Based on Multi-Model Ensemble Learning Algorithms
by: Jiachuang Wang, et al.
Published: (2023-02-01)

Distinct Multiple Learner-Based Ensemble SMOTEBagging (ML-ESB) Method for Classification of Binary Class Imbalance Problems
by: Dilip Singh Sisodia, et al.
Published: (2019-07-01)

A Novel Stacked Ensemble for Hate Speech Recognition
by: Mona Khalifa A. Aljero, et al.
Published: (2021-12-01)

Offensive Language Detection Using Soft Voting Ensemble Model
by: Brillian Fieri, et al.
Published: (2023-06-01)

Portrait Segmentation Using Ensemble of Heterogeneous Deep-Learning Models
by: Yong-Woon Kim, et al.
Published: (2021-02-01)

Confidence-Based Voting for the Design of Interpretable Ensembles with Fuzzy Systems
by: Vladimir Stanovov, et al.
Published: (2020-04-01)

Weighted Scoring in Geometric Space for Decision Tree Ensemble
by: Jedrzej Biedrzycki, et al.
Published: (2020-01-01)

EEG-Based Emotion Classification Using Stacking Ensemble Approach
by: Subhajit Chatterjee, et al.
Published: (2022-11-01)