Jove
Visualize
Contact Us
JoVE
x logofacebook logolinkedin logoyoutube logo
ABOUT JoVE
OverviewLeadershipBlogJoVE Help Center
AUTHORS
Publishing ProcessEditorial BoardScope & PoliciesPeer ReviewFAQSubmit
LIBRARIANS
TestimonialsSubscriptionsAccessResourcesLibrary Advisory BoardFAQ
RESEARCH
JoVE JournalMethods CollectionsJoVE Encyclopedia of ExperimentsArchive
EDUCATION
JoVE CoreJoVE BusinessJoVE Science EducationJoVE Lab ManualFaculty Resource CenterFaculty Site
Terms & Conditions of Use
Privacy Policy
Policies

Related Concept Videos

Documentation in Long-Term and Home Healthcare Setting01:29

Documentation in Long-Term and Home Healthcare Setting

1.2K
Documentation in long-term care facilities and home healthcare settings is crucial for ensuring continuous, coordinated, and comprehensive care for patients. Each setting has its specific documentation processes and tools:
Long-Term Care Facilities
1.2K

You might also read

Related Articles

Articles linked to this work by shared authors, journal, and citation graph.

Sort by
Same author

Anterior peri-iliopsoas muscle space block for analgesia in lower-limb orthopedic surgery: A randomized controlled trial.

Journal of clinical anesthesia·2026
Same author

Detection of disturbances and cyber-attacks in smart grids using explainable machine learning.

Scientific reports·2026
Same author

Integrating machine learning and explainable AI for employee attrition prediction in HR analytics.

Scientific reports·2026
Same author

Explainable Computational Imaging for Precision Oncology: An Interpretable Deep Learning Framework for Bladder Cancer Histopathology Diagnosis.

Bioengineering (Basel, Switzerland)·2026
Same author

A hierarchical deep learning framework with doubly regularized loss for robust malware detection and family categorization.

Scientific reports·2026
Same author

Securing IoT networks: a machine learning approach for detecting unusual traffic patterns.

Scientific reports·2025

Related Experiment Video

Updated: Oct 27, 2025

Electroencephalographic Signal Acquisition Framework for Neurodiverse: A Case Study of Dolphin-Assisted Therapy
07:21

Electroencephalographic Signal Acquisition Framework for Neurodiverse: A Case Study of Dolphin-Assisted Therapy

Published on: June 27, 2025

227

Ambient Healthcare Approach with Hybrid Whale Optimization Algorithm and Naïve Bayes Classifier.

Majed Alwateer1, Abdulqader M Almars1, Kareem N Areed2

  • 1College of Computer Science and Engineering, Taibah University, Yanbu 46421, Saudi Arabia.

Sensors (Basel, Switzerland)
|July 20, 2021
PubMed
Summary
This summary is machine-generated.

This study introduces a hybrid approach using Whale Optimization Algorithm and Naïve Bayes Classifier for efficient big healthcare data processing. It significantly reduces processing time and improves prediction accuracy for various diseases.

Keywords:
big healthcare dataclassificationdecision-makingfeature selectionnaive bayeswhale optimization

More Related Videos

Author Spotlight: Advancing Alzheimer's Research – Exploring Early Detection and Multi-Omics Approaches
09:47

Author Spotlight: Advancing Alzheimer's Research – Exploring Early Detection and Multi-Omics Approaches

Published on: December 15, 2023

1.4K
Spatial Multiobjective Optimization of Agricultural Conservation Practices using a SWAT Model and an Evolutionary Algorithm
11:53

Spatial Multiobjective Optimization of Agricultural Conservation Practices using a SWAT Model and an Evolutionary Algorithm

Published on: December 9, 2012

13.1K

Related Experiment Videos

Last Updated: Oct 27, 2025

Electroencephalographic Signal Acquisition Framework for Neurodiverse: A Case Study of Dolphin-Assisted Therapy
07:21

Electroencephalographic Signal Acquisition Framework for Neurodiverse: A Case Study of Dolphin-Assisted Therapy

Published on: June 27, 2025

227
Author Spotlight: Advancing Alzheimer's Research – Exploring Early Detection and Multi-Omics Approaches
09:47

Author Spotlight: Advancing Alzheimer's Research – Exploring Early Detection and Multi-Omics Approaches

Published on: December 15, 2023

1.4K
Spatial Multiobjective Optimization of Agricultural Conservation Practices using a SWAT Model and an Evolutionary Algorithm
11:53

Spatial Multiobjective Optimization of Agricultural Conservation Practices using a SWAT Model and an Evolutionary Algorithm

Published on: December 9, 2012

13.1K

Area of Science:

  • Health Informatics
  • Data Science
  • Computational Intelligence

Background:

  • Healthcare systems face challenges processing large, complex patient data efficiently.
  • Existing cloud-based IoT healthcare systems struggle with processing time and overall efficiency for big data.

Purpose of the Study:

  • To develop a novel, computationally efficient approach for processing big healthcare data.
  • To improve data classification accuracy and reduce processing time for immediate decision-making.
  • To enhance healthcare business agility, security, privacy, and reduce operational costs.

Main Methods:

  • A hybrid algorithm combining Whale Optimization Algorithm (WOA) for feature selection and Naïve Bayes Classifier (NBC) for real-time classification.
  • Implementation leveraging Fog Computing architecture for distributed data processing.
  • Evaluation of the approach on datasets for Diabetes, Heart Disease, Heart Attack Prediction, and Sonar.

Main Results:

  • Significant reduction in the number of dataset features through WOA.
  • Improved classification accuracy by an average of 3.6% across tested datasets.
  • Reduced processing time by an average of 8.7%, enhancing real-time capabilities.

Conclusions:

  • The proposed hybrid WOA-NBC approach effectively processes big healthcare data with reduced computational cost.
  • The method offers a promising solution for improving efficiency and accuracy in healthcare data analytics.
  • Fog Computing integration enhances the system's agility, security, and privacy while lowering operational expenses.