Journal of Healthcare Engineering

Deep Unsupervised Learning for Healthcare Data Analytics


Publishing date
01 May 2022
Status
Closed
Submission deadline
31 Dec 2021

Guest Editors

1Rathinam Technical Campus, Coimbatore, India

2University of Teramo, Teramo, Italy

3University of Electronic Science and Technology of China, Chenghua, China

This issue is now closed for submissions.

Deep Unsupervised Learning for Healthcare Data Analytics

This issue is now closed for submissions.

Description

Healthcare requires a substantial amount of data from patients. Artificial intelligence (AI) is a technology that is based on a mathematical model or algorithm that makes decisions based on existing data. It simulates a human's decision-making skills. During the training phase, it develops a self-correction method based on unsupervised learning and reasoning. AI has only developed recently from many years of study and development. It is capable of identifying and rectifying the problems of uncertainty. It does so by using unsupervised data analytics and deep learning methods. To make AI a more convenient tool in our daily life, we must take unsupervised learning principles to improve the efficiency and accuracy rate of health-based application systems.

Meanwhile, intelligent healthcare applications are becoming extremely relevant as the automation of health monitoring and disease diagnosis becomes increasingly vital. They are commonly used for health index monitoring based on unsupervised learning, drug discovery, medical imaging diagnosis, Alzheimer's disease, genomics, and more. Unfortunately, some logistics and supply issues can cause the process of the healthcare system to fail. Unsupervised learning can be used to overcome limitations and improve the efficiency of healthcare applications. Research connecting healthcare applications, AI with deep learning algorithms, unsupervised learning methods can improve the healthcare system process. Healthcare is a priority and researchers are continually searching for better solutions.

The aim of this Special Issue is to bring together original research and review articles that highlight the challenges and trends of unsupervised learning and deep learning methods in healthcare.

Potential topics include but are not limited to the following:

  • Intelligent health monitoring and management based on big data
  • Intelligent disease diagnosis based on unsupervised learning
  • Medical robots and imaging diagnosis based on computer vision technology
  • Drug research and development based on unsupervised learning
  • Natural language processing and speech technology in electronic medical records
  • Intelligent unsupervised learning nursing system
  • Epidemic forecasting based on intelligent algorithm and mathematical modelling

Articles

  • Special Issue
  • - Volume 2023
  • - Article ID 9810474
  • - Retraction

Retracted: Research on the Improved CNN Deep Learning Method for Motion Intention Recognition of Dynamic Lower Limb Prosthesis

Journal of Healthcare Engineering
  • Special Issue
  • - Volume 2023
  • - Article ID 9791704
  • - Retraction

Retracted: Detection of Tibiofemoral Joint Injury in High-Impact Motion Based on Neural Network Reconstruction Algorithm

Journal of Healthcare Engineering
  • Special Issue
  • - Volume 2023
  • - Article ID 9764046
  • - Retraction

Retracted: Action Recognition, Tracking, and Optimization Analysis of Training Process Based on the Support Vector Regression Model

Journal of Healthcare Engineering
  • Special Issue
  • - Volume 2023
  • - Article ID 9859708
  • - Retraction

Retracted: Deep Learning-Based Three-Dimensional Oral Conical Beam Computed Tomography for Diagnosis

Journal of Healthcare Engineering
  • Special Issue
  • - Volume 2023
  • - Article ID 9804176
  • - Retraction

Retracted: Deep Learning-Based Real-Time AI Virtual Mouse System Using Computer Vision to Avoid COVID-19 Spread

Journal of Healthcare Engineering
  • Special Issue
  • - Volume 2023
  • - Article ID 9765645
  • - Retraction

Retracted: The Design of a Track Monitoring System for Sports Injury Rehabilitation Training

Journal of Healthcare Engineering
  • Special Issue
  • - Volume 2023
  • - Article ID 9787824
  • - Retraction

Retracted: Application of Microspectral Imaging in Motor and Sensory Nerve Classification

Journal of Healthcare Engineering
  • Special Issue
  • - Volume 2023
  • - Article ID 9827613
  • - Retraction

Retracted: The Application Value of MRI in the Training and Physical Rehabilitation of Gastrocnemius with Acute Sports Injury

Journal of Healthcare Engineering
  • Special Issue
  • - Volume 2023
  • - Article ID 9759764
  • - Retraction

Retracted: Analyzing the Treatment of Patients with Acute Exacerbation of COPD with the Aid of Intelligent Diagnosis Method

Journal of Healthcare Engineering
  • Special Issue
  • - Volume 2023
  • - Article ID 9803984
  • - Retraction

Retracted: Construction of the Maximum Oxygen Intake Regression Equations for Exercise Training on Respiration and Heart Rate

Journal of Healthcare Engineering

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