Journal of Healthcare Engineering

The Use of Internet of Medical Things in Complex Data Analytics within Healthcare Systems


Publishing date
01 Apr 2022
Status
Closed
Submission deadline
03 Dec 2021

1Birla Institute of Technology, Mesra, India

2Supercomputing Center of Castile and León, León, Spain

3Providence University, Taichung, Taiwan

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

The Use of Internet of Medical Things in Complex Data Analytics within Healthcare Systems

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

Description

Health monitoring and diagnosis of the target structure of interest are achieved through the interpretation of the collected data on the Internet of Things. The rapid advances in wearable medical devices, technologies, and data acquisition tools have led to the new era of big data, where substantial and diverse data are collected by different sensors. This large volume of health data, often called big medical data, cannot readily be processed by traditional data processing algorithms and applications. Internet of Medical Things (IoMT) can enhance the decision-making process and early disease diagnosis for future healthcare systems. Hence, there is a need for scalable machine learning, deep learning, and intelligent algorithms that lead to more interoperable solutions. These solutions can make effective decisions for emerging medical data-driven requirements. Accessibility of data resources gives scope for health monitoring.

However, the current challenge is the data aggregated from multiple sensors for decisions. There are also challenges in terms of data blending in health monitoring. Fusion is a multi-domain developing field. It is mainly categorized as contextual information, observational data, complex health data, and learned knowledge. Health data fusion systems are providing dynamically changing situations by integrating sensors, outcomes, knowledge bases, databases, user mission, and contextual information.

This Special Issue aims to bring together original research and review articles reporting novel methodologies, theories, technologies, techniques, and solutions for big medical data analytics in healthcare systems. This Special Issue also hopes to address these topics across multiple abstraction levels, ranging from mathematical models, provisioning of services, optimization, short-or-long-range health informatics, and interfaces to specific implementation approaches. Submissions discussing the most important and relevant advances to overcome the challenges related to complex data analytics and processing via IoMT are welcome. Particularly, authors are encouraged to submit research considering current and potential applications for big complex healthcare systems.

Potential topics include but are not limited to the following:

  • IoMT-enabled big medical data analytics for smart healthcare
  • Computational complexity for IoMT-enabled health data analytics
  • Medical imaging and signal processing and precision medicine for IoMT
  • Cyber-physical systems and blockchain for complex health data
  • Cloud computing for complex health data
  • Context-aware security and privacy for medical data
  • Large-scale data analytics tools and technologies for healthcare
  • Complex biomedical complex data handling over IoMT
  • Machine learning and deep learning approaches in IoMT-enabled health data analytics
  • Intelligent decision making for big medical data analytics
  • Data-driven mathematical modelling for complex health data analytics
  • Modelling, simulation, and analysis for the resilience of complex health systems

Articles

  • Special Issue
  • - Volume 2022
  • - Article ID 9580991
  • - Review Article

Deep Neural Networks for Medical Image Segmentation

Priyanka Malhotra | Sheifali Gupta | ... | Wegayehu Enbeyle
  • Special Issue
  • - Volume 2022
  • - Article ID 8732213
  • - Research Article

Artificial Intelligence of Things- (AIoT-) Based Patient Activity Tracking System for Remote Patient Monitoring

Timothy Malche | Sumegh Tharewal | ... | Mohammad Aman Ullah
  • Special Issue
  • - Volume 2022
  • - Article ID 2950699
  • - Review Article

New Opportunities, Challenges, and Applications of Edge-AI for Connected Healthcare in Internet of Medical Things for Smart Cities

M. M. Kamruzzaman | Ibrahim Alrashdi | Ali Alqazzaz
  • Special Issue
  • - Volume 2022
  • - Article ID 7832618
  • - Research Article

Construction of an Immune-Autophagy Prognostic Model Based on ssGSEA Immune Scoring Algorithm Analysis and Prognostic Value Exploration of the Immune-Autophagy Gene in Endometrial Carcinoma (EC) Based on Bioinformatics

Xiaomin Xu | Fang Lu | ... | Shumin Liu
  • Special Issue
  • - Volume 2022
  • - Article ID 3978627
  • - Research Article

CNN-LSTM Hybrid Real-Time IoT-Based Cognitive Approaches for ISLR with WebRTC: Auditory Impaired Assistive Technology

Meenu Gupta | Narina Thakur | ... | Qiaozhi Hua
  • Special Issue
  • - Volume 2022
  • - Article ID 4138666
  • - Review Article

Discovering Knee Osteoarthritis Imaging Features for Diagnosis and Prognosis: Review of Manual Imaging Grading and Machine Learning Approaches

Yun Xin Teoh | Khin Wee Lai | ... | Samiappan Dhanalakshmi
  • Special Issue
  • - Volume 2022
  • - Article ID 6952304
  • - Research Article

Automated Detection of Nonmelanoma Skin Cancer Based on Deep Convolutional Neural Network

Muhammad Arif | Felix M. Philip | ... | Oana Geman
  • Special Issue
  • - Volume 2022
  • - Article ID 6462657
  • - Research Article

Data Mining in Employee Healthcare Detection Using Intelligence Techniques for Industry Development

Abolfazl Mehbodniya | Ihtiram Raza Khan | ... | Stephen Jeswinde Nuagah
  • Special Issue
  • - Volume 2022
  • - Article ID 1474298
  • - Research Article

A Meta-Analysis on the Effectiveness of Video Laryngoscopy versus Laryngoscopy for Emergency Orotracheal Intubation

Xiaotong Ba
  • Special Issue
  • - Volume 2022
  • - Article ID 4969527
  • - Research Article

Evaluation Algorithm for Team Strength Based on the Collected Healthcare Data through IoT and Smart Devices

Jian Qiao
Journal of Healthcare Engineering
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Acceptance rate37%
Submission to final decision42 days
Acceptance to publication25 days
CiteScore2.900
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Impact Factor3.822
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Article of the Year Award: Outstanding research contributions of 2021, as selected by our Chief Editors. Read the winning articles.