Classification Algorithms and Feature Selection Techniques for a Hybrid Diabetes Detection System

QR Code

Classification Algorithms and Feature Selection Techniques for a Hybrid Diabetes Detection System

Artificial intelligence is a future and valuable tool for early disease recognition and support in patient condition monitoring. It can increase the reliability of the cure and decision making by developing useful systems and algorithms. Healthcare workers, especially nurses and physicians, are over...

Full description

Bibliographic Details
Main Authors:	Al-Hameli, Bassam Abdo, Alsewari, Abdulrahman A., Alraddadi, Abdulaziz Saleh, Aldhaqm, Arafat
Format:	Article
Language:	English
Published:	MUK Publications 2021
Subjects:	QA Mathematics
Online Access:	http://umpir.ump.edu.my/id/eprint/32648/ http://umpir.ump.edu.my/id/eprint/32648/1/Classification%20Algorithms%20and%20Feature%20Selection%20Techniques%20for%20a%20Hybrid%20Diabetes%20Detection%20System.pdf

Similar Items

The efficiency of hidden naïve bayes technique compared with data mining techniques in early diagnosis of diabetes and prediction system
by: Bassam Abdo, Al-Hameli, et al.
Published: (2020)

Accuracy and performance analysis for classification algorithms based on biomedical datasets
by: Al-Hameli, Bassam Abdo, et al.
Published: (2021)

Prediction of Diabetes Using Hidden Naïve Bayes: Comparative Study
by: Al-Hameli, Bassam Abdo, et al.
Published: (2021)

Features selection for intrusion detection system using hybridize PSO-SVM
by: Tabaan, Alaa Abdulrahman
Published: (2016)

Performance evaluation of hybrid feature selection technique for sentiment classification based on food reviews
by: Suryanti, Awang, et al.
Published: (2021)

Phishing Email Detection Technique by using Hybrid Features
by: Lew, May Form, et al.
Published: (2015)

A review of feature selection methods on diabetes mellitus classification
by: Nur Farahaina, Idris, et al.
Published: (2025)

ABC: android botnet classification using feature selection and classification algorithms
by: Abdullah, Zubaile, et al.
Published: (2017)

Coral classification with hybrid feature representations
by: Mahmood, A., et al.
Published: (2016)

The hybrid feature selection technique using term frequency-inverse document frequency and support vector machine-recursive feature elimination for sentiment classification
by: Nur Syafiqah, Mohd Nafis
Published: (2022)

Examining the classification accuracy of TSVMs with feature selection in comparison with the GLAD algorithm
by: Helmi, Hala, et al.
Published: (2011)

An enhanced hybrid feature selection technique using term frequency-inverse document frequency and support vector machine-recursive feature elimination for sentiment classification
by: Nur Syafiqah, Mohd Nafis, et al.
Published: (2021)

Detection of colon cancer based on microarray dataset using machine learning as a feature selection and classification techniques
by: A. S. M, Shafi, et al.
Published: (2020)

Stacking with recursive feature elimination-isolation forest for classification of diabetes mellitus
by: Nur Farahaina, Idris, et al.
Published: (2024)

Diabetes disease prediction system using HNB classifier based on discretization method
by: Al-Hameli, Bassam Abdo, et al.
Published: (2023)

A study on feature selection and classification techniques for automatic genre classification of traditional Malay music
by: Doraisamy, Shyamala, et al.
Published: (2008)

Evaluation of feature selection algorithm for android malware detection
by: Mazlan, Nurul Hidayah, et al.
Published: (2018)

Automatic diabetic retinopathy detection and classification system
by: Omar, Zainab Awatif, et al.
Published: (2017)

Hybrid flower pollination algorithm strategies for t-way test suite generation
by: Abdullah, Nasser, et al.
Published: (2018)

A robust technique of brain MRI classification using color features and k-nearest neighbor algorithm
by: Fayaz, Muhammad, et al.
Published: (2016)

Feature selection based on particle swarm optimization algorithm for sentiment analysis classification
by: Nurcahyawati, Vivine, et al.
Published: (2021)

Diabetic Retinopathy Detection Model using Hybrid of U-Net and Vision Transformer Algorithms
by: Mudit, Khater
Published: (2024)

Enhancing Classification Algorithms with Metaheuristic Technique
by: Cokro, Nurwinto, et al.
Published: (2024)

Feature-based phishing detection technique
by: Xin, Mei Choo, et al.
Published: (2016)

An enhanced feature selection technique for classification of group-based holy quran verses
by: Oyekunle, Adeleke Abdullahi
Published: (2018)

An enhanced feature selection technique for classification of group based holy Quran verses
by: Abdullahi Oyekunle, Adeleke
Published: (2018)

Feature selection algorithms for Malaysian dengue outbreak detection model
by: Husam I.S. Abuhamad,, et al.
Published: (2017)

Solving 0/1 Knapsack Problem Using Hybrid HS and Jaya Algorithms
by: Alomoush, Alaa A., et al.
Published: (2018)

Feature Extraction and Classification for Detecting the Thermal Faults in Electrical Installations
by: M. S., Jadin, et al.
Published: (2014)

Fire Detection Based on Color Filters and Bag-of- Features Classification
by: Poobalan, Kumaraguru, et al.
Published: (2015)

Impact of feature extraction techniques on classification accuracy for EMG based ankle joint movements
by: Al-Quraishi, Maged Saleh Saeed, et al.
Published: (2015)

Detection Of Subsurface Geological Features Using Selected Geophysical Techniques
by: Arisona, Arisona
Published: (2018)

Steel strips surface classification and defect detection based on multiple integrated features and classification schemes
by: Ashour, Mohammed W. M.
Published: (2018)

Automated feature selection using boruta algorithm to detect mobile malware
by: Che Akmal, Che Yahaya, et al.
Published: (2020)

Pressure vessel design simulation using hybrid harmony search algorithm
by: Alaa A., Alomoush, et al.
Published: (2019)

Improving hand written digit recognition using hybrid feature selection algorithm
by: Wong, Khye Mun
Published: (2022)

Multi-Objective Hybrid Algorithm For The Classification Of Imbalanced Datasets
by: Saeed, Sana
Published: (2019)

Speaker identification based on hybrid feature extraction techniques
by: Abualadas, Feras E., et al.
Published: (2019)

Evaluation of feature extraction and classification techniques for EEG-based subject identification
by: Handayani, Dini Oktarina Dwi, et al.
Published: (2016)

A hybrid method of feature extraction and naive bayes classification for splitting identifiers
by: Alanee, Nahla, et al.
Published: (2017)