Computational Intelligence and Neuroscience

Computational Intelligence for Medical Internet of Things (MIoT) Applications


Publishing date
01 Apr 2022
Status
Closed
Submission deadline
26 Nov 2021

1Menoufia University, Menoufia, Egypt

2Texas A&M University, San Antonio, USA

3University Sultan Moulay Slimane, Beni Mellal, Morocco

This issue is now closed for submissions.
More articles will be published in the near future.

Computational Intelligence for Medical Internet of Things (MIoT) Applications

This issue is now closed for submissions.
More articles will be published in the near future.

Description

Computational intelligence is a powerful methodology for addressing complex real-world problems when mathematical or traditional modeling can have limited use. Computational intelligence paradigms have numerous branches, including neural networks, swarm intelligence, expert systems, evolutionary computation, fuzzy systems, and learning systems. Such systems can play a vital role in handling the different aspects of healthcare.

With the advances in Medical Internet of Things (MIoT), it has become feasible to design numerous automated diagnostic models for early-stage diagnosis of different diseases. Machine learning models have been broadly employed to evaluate biomedical data collected from MIoT. However, these models need effective feature extraction and selection approaches as a pre-processing tool to evaluate the collected biomedical data. As such, the feature extraction and selection approaches may hinder the performance of machine learning-based biomedical data analysis. Therefore, deep learning models have been implemented to evaluate the biomedical data collected from MIoT. These models apply numerous filters at each layer to automatically extract and select the potential features of biomedical data. These models have achieved considerably better results than machine learning models, but the model building process is extremely expensive, both in terms of resources and time. Additionally, deep learning models perform efficiently when a huge amount of data is available.

The purpose of this Special Issue is to determine the new advancements and applications of deep learning models and intelligent systems for MIoT applications. We welcome original research and review articles covering novel theories, innovative methods, and meaningful applications that can potentially lead to significant advances in computational intelligence for Medical Internet of Things (MIoT) applications.

Potential topics include but are not limited to the following:

  • Healthcare informatics
  • Machine intelligence techniques for Medical Internet of Things (MIoT)
  • Recognition and optimization methods for MIoT
  • Soft computing approaches for MIoT
  • Medical imaging and pattern recognition for MIoT
  • Biomedical imaging and image processing for MIoT
  • Pattern mining algorithms for biological problems
  • Artificial intelligence and pattern recognition technologies for recommendation for MIoT
  • Deep learning and machine learning algorithms for efficient indexing and retrieval in medical imaging
  • Computational intelligence for data analysis and pattern recognition
  • Internet of medical things platform for e-health applications

Articles

  • Special Issue
  • - Volume 2022
  • - Article ID 7617551
  • - Research Article

ResNet-50 for 12-Lead Electrocardiogram Automated Diagnosis

Nizar Sakli | Haifa Ghabri | ... | Mustapha Najjari
  • Special Issue
  • - Volume 2022
  • - Article ID 2898061
  • - Research Article

Internet of Medical Things (IoMT) and Reflective Belief Design-Based Big Data Analytics with Convolution Neural Network-Metaheuristic Optimization Procedure (CNN-MOP)

A. Sampathkumar | Miretab Tesfayohani | ... | Meshal Albeedan
  • Special Issue
  • - Volume 2022
  • - Article ID 8623586
  • - Research Article

Examining the Determinants of Patient Perception of Physician Review Helpfulness across Different Disease Severities: A Machine Learning Approach

Adnan Muhammad Shah | Wazir Muhammad | KangYoon Lee
  • Special Issue
  • - Volume 2021
  • - Article ID 4931450
  • - Research Article

Ensemble of Deep Learning Based Clinical Decision Support System for Chronic Kidney Disease Diagnosis in Medical Internet of Things Environment

Suliman A. Alsuhibany | Sayed Abdel-Khalek | ... | Romany F. Mansour
  • Special Issue
  • - Volume 2021
  • - Article ID 1160454
  • - Research Article

CNN-Based Personal Identification System Using Resting State Electroencephalography

Yongdong Fan | Xiaoyu Shi | Qiong Li
  • Special Issue
  • - Volume 2021
  • - Article ID 8016525
  • - Research Article

Secure Health Monitoring Communication Systems Based on IoT and Cloud Computing for Medical Emergency Applications

Ali I. Siam | Mohammed Amin Almaiah | ... | Nirmeen A. El-Bahnasawy
  • Special Issue
  • - Volume 2021
  • - Article ID 9619079
  • - Research Article

A Computer-Aided Diagnosis System Using Deep Learning for Multiclass Skin Lesion Classification

Mehak Arshad | Muhammad Attique Khan | ... | Seifedine Kadry
  • Special Issue
  • - Volume 2021
  • - Article ID 2487759
  • - Research Article

An IoMT-Enabled Smart Healthcare Model to Monitor Elderly People Using Machine Learning Technique

Muhammad Farrukh Khan | Taher M. Ghazal | ... | Muhammad Adnan Khan
  • Special Issue
  • - Volume 2021
  • - Article ID 4376418
  • - Research Article

A Blockchain-Based Federated Learning Method for Smart Healthcare

Yuxia Chang | Chen Fang | Wenzhuo Sun
  • Special Issue
  • - Volume 2021
  • - Article ID 1616806
  • - Research Article

Research on PM2.5 Spatiotemporal Forecasting Model Based on LSTM Neural Network

Fang Zhao | Ziyi Liang | ... | Xiyuan Chen
Computational Intelligence and Neuroscience
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Article of the Year Award: Outstanding research contributions of 2021, as selected by our Chief Editors. Read the winning articles.