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.
More articles will be published in the near future.

Deep Unsupervised Learning for Healthcare Data Analytics

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

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 2022
  • - Article ID 1933617
  • - Research Article

A Dual Discriminator Adversarial Learning Approach for Dental Occlusal Surface Reconstruction

Sukun Tian | Renkai Huang | ... | Haifeng Ma
  • Special Issue
  • - Volume 2022
  • - Article ID 8725030
  • - Research Article

Image Analysis Application of Motherwort Total Alkaloid Injection in the Treatment of Postabortion Hemorrhage

Wenjing Wang
  • Special Issue
  • - Volume 2022
  • - Article ID 2174240
  • - Research Article

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

Mingjiang Zhu
  • Special Issue
  • - Volume 2022
  • - Article ID 7399119
  • - Research Article

Effects of Aerobic Training on Cardiopulmonary Function Based on Multiple Linear Regression Analysis

Quan Zhao | Feng Mao
  • Special Issue
  • - Volume 2022
  • - Article ID 9957916
  • - Research Article

Modeling and Analysis of the Relationship between Aerobic Exercise and Obesity Reduction in Adolescents

Nan Fu | Kesen Li
  • Special Issue
  • - Volume 2022
  • - Article ID 4752609
  • - Research Article

Effects of Different Anesthetic and Analgesic Methods on Cellular Immune Function and Stress Hormone Levels in Patients Undergoing Esophageal Cancer Surgery

Chaojun Hu | Shan Zhang | ... | Rong Wang
  • Special Issue
  • - Volume 2022
  • - Article ID 3962074
  • - Research Article

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

Qina Jiang | Guangxiang Zhao | ... | Yujuan Chen
  • Special Issue
  • - Volume 2022
  • - Article ID 5961197
  • - Research Article

Study on Maximal Oxygen Uptake of Respiration and Heart Rate in Exercise Training Based on Regression Equation

Yongqing Liang | Qiufen Yu
  • Special Issue
  • - Volume 2022
  • - Article ID 8169203
  • - Review Article

Deep Learning in Healthcare System for Quality of Service

Dibyahash Bordoloi | Vijay Singh | ... | Rajasekhar Boddu
  • Special Issue
  • - Volume 2022
  • - Article ID 3642799
  • - Research Article

Association of Paraoxonase 1 Gene Polymorphisms with the Risk of Breast Fibroadenoma and Breast Cancer in the Females of Guangxi, China

Kun Chen | Xiaogang Wang | ... | Yong Kong
Journal of Healthcare Engineering
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Acceptance rate37%
Submission to final decision42 days
Acceptance to publication25 days
CiteScore2.900
Journal Citation Indicator0.860
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.