Computational and Mathematical Methods in Medicine

Knowledge Discovery-Based Computational Technologies for Medical Big Data


Publishing date
01 Dec 2022
Status
Closed
Submission deadline
12 Aug 2022

Lead Editor
Guest Editors

1City University of Hong Kong, Hong Kong

2Shantou University, Shantou, China

3University of Alberta, Edmonton, Canada

This issue is now closed for submissions.

Knowledge Discovery-Based Computational Technologies for Medical Big Data

This issue is now closed for submissions.

Description

The advent of the 5G era has greatly promoted the development of telemedicine. However, as medical equipment is upgraded, this causes the amount of obtained medical data to increase exponentially and the data to become high-dimensional, diversified, and multi-structured. Medical big data includes physical parameters, biochemical indicators, electromyogram (EMG) signals, electroencephalogram (EEG) signals, X-ray images, ultrasound, and text files, among others.

Discovering the hidden valuable knowledge in massive and irregular data is challenging work. A new effective approach to deal with medical big data is the use of artificial intelligence (AI) technology, which mainly includes three tasks: supervised learning, semi-supervised learning, and unsupervised learning. Supervised learning is mainly used for disease diagnosis and prediction of medical events, whereas unsupervised learning and semi-supervised learning are mainly used to mine the potential correlation information in medical features. The aim of learning is to find useful information in the original data. Generally speaking, the collected medical original data will be preprocessed, which includes data denoising, filling, dimensionality reduction, and transformation. The mathematical model is then constructed and solved using statistical methods, nonlinear optimization, and intelligent algorithms, among other technologies.

The purpose of this Special Issue is to collect recent research into the construction of innovative mathematical models for medical big data processing and to discuss the latest machine learning methods for processing medical data. We also aim to collect the latest association rule mining methods, classification mining and analysis methods, cluster analysis methods, anomaly mining and analysis methods, and epidemic monitoring and prediction models. We welcome both original research and review articles.

Potential topics include but are not limited to the following:

  • Feature selection technology in medical data
  • Feature extraction technology in medical data
  • Data dimensionality reduction methods in medical data
  • Disease diagnosis and treatment based on medical data
  • Epidemic monitoring and forecasting models based on medical data
  • Mining and analysis models of abnormal medical data
  • Chronic disease prevention models based on medical big data
  • Medical data association rule discovery based on deep learning
  • Health management models based on deep learning
  • Multi-source medical data fusion

Articles

  • Special Issue
  • - Volume 2023
  • - Article ID 9851706
  • - Retraction

Retracted: A Retrospective Analysis of Internet-Based Sharing Nursing Service Appointment Data

Computational and Mathematical Methods in Medicine
  • Special Issue
  • - Volume 2022
  • - Article ID 3542942
  • - Research Article

Dynamic Monitoring of Serum Protein in Acute Respiratory Distress Syndrome Based on Artificial Neural Network

Zhihui Zhou | Yi Long
  • Special Issue
  • - Volume 2022
  • - Article ID 8284870
  • - Research Article

Effect of Nursing Intervention on Promoting Healing of RW in Patients with Diabetic Foot: A Systematic Review and Meta-Analysis

Huan Chen | Xiaoxia Lv | Yingying Zhang
  • Special Issue
  • - Volume 2022
  • - Article ID 4117261
  • - Research Article

Preliminary Investigation on the Relationship between Raman Spectra of Beef and Metmyoglobin and Metmyoglobin Reductase Activity

Tonggang Zhang | Yalei Li | ... | Shuang Bo
  • Special Issue
  • - Volume 2022
  • - Article ID 4398614
  • - Research Article

The Value of Macrogene Second-Generation Sequencing in the Diagnosis, Guidance of Drug Use, and Efficacy Monitoring of Infectious Pneumonia in Premature Infants

LiLi Wang | Ping Zha | ... | Yang Wang
  • Special Issue
  • - Volume 2022
  • - Article ID 7200678
  • - Research Article

Study on Antidepressant Emotion Regulation Based on Feedback Analysis of Music Therapy with Brain-Computer Interface

Mengru Sun
  • Special Issue
  • - Volume 2022
  • - Article ID 2665339
  • - Research Article

Analysis of Diabetes Disease Risk Prediction and Diabetes Medication Pattern Based on Data Mining

Lindong Zhang | Min Liu
  • Special Issue
  • - Volume 2022
  • - Article ID 2845114
  • - Research Article

Early Clinical Outcomes of ACL Reconstruction Using Semitendinosus Tendon Combined with LARS Synthetic

Baocai Zhang | Peng Xiang | ... | Yuzhuo Ma
  • Special Issue
  • - Volume 2022
  • - Article ID 5627550
  • - Research Article

Three Acupuncture Methods for Postoperative Pain in Mixed Hemorrhoids: A Systematic Review and Network Meta-Analysis

Sunsong Ye | Jianhua Zhou | ... | Xiaoxue Jiang
  • Special Issue
  • - Volume 2022
  • - Article ID 6371994
  • - Research Article

The Effects of Combuxil and Leizumab on Retinal Function and Serum Interleukin-17A in Premature Infants with Retinopathy

Huixuan Ren | Gang Su | ... | Shanjun Cai

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