Special Issue "Pattern Recognition and Medical Data Analytics in Telemedicine"

A special issue of Applied Sciences (ISSN 2076-3417). This special issue belongs to the section "Biomedical Engineering".

Deadline for manuscript submissions: 20 August 2022 | Viewed by 369

Special Issue Editors

Dr. Rafal Doniec
E-Mail Website
Guest Editor
Department of Biosensors and Processing of Biomedical Signals, Faculty of Biomedical Engineering, Silesian University of Technology, Roosevelta 40, 41-800 Zabrze, Poland
Interests: pattern recognition; telemedicine; machine and deep learning; biomedical data analysis; medical data
Prof. Dr. Marcin Grzegorzek
E-Mail Website
Guest Editor
Institute of Medical Informatics, University of Lubeck, 23562 Lubeck, Germany
Interests: medical data science; pattern recognition; machine learning; sensor data analysis
Prof. Dr. Ewaryst Tkacz
E-Mail Website
Guest Editor
Department of Biosensors and Processing of Biomedical Signals, Faculty of Biomedical Engineering, Silesian University of Technology, Roosevelta 40, 41-800 Zabrze, Poland
Interests: bioinformatics; biosensors; biomedical signals processing; miomedical image processing medical technology and medical devices
Prof. Dr. Wojciech Glinkowski
E-Mail Website
Guest Editor
Center of Excellence "TeleOrto" for Telediagnostics and Treatment of Disorders and Injuries of the Locomotor System, Department of Medical Informatics and Telemedicine, Medical University of Warsaw, Warsaw, Poland
Interests: image analysis; outcome measures; PROMIS; survey; survey methodology

Special Issue Information

Dear Colleagues,

Telemedicine is a rapidly evolving healthcare delivery mechanism via hardware and/or software through which consultation, medical assistance, and information can be communicated over the computer networks. There are many definitions of “Telemedicine”—each specific to the primary target of interest. During the COVID-19 pandemic, the importance of telemedicine increased. The reasons for applying telemedicine include: Separation or necessity to maintain social distance and distance between persons and/or resources; Conscious and more and more common use of telecommunications technologies; Dissemination and availability of data from smart and wearable sensors; Development of computing infrastructure and improvements of machine learning algorithms with the full inclusion of Artificial Intelligence; Optimization of costs and resources in healthcare. Background: Telemedicine has been around since the late 1980s, however, in the last two years there has been a significant increase in considerations and research regarding telemedicine, along with the growing importance of the development of mobile application implementation and production technology of sensors monitoring medical quantities. In this Special Issue, we would like to attract innovative and original research papers describing the latest research in the field of medical-based, engineering-based behavior. We also present a Special Issue to all those who wish to present their work in the area of health market management related to the use of sensor-based telemetry systems, using a wide range of artificial intelligence methods, including pattern recognition and machine learning algorithms. Potential topics include, but are not limited to:

  • Artificial Intelligence;
  • Cybersecurity processing of medical data;
  • Medical Data Analytics;
  • Future of Medical Data Analytics, Pattern Recognition and Telemedicine;
  • Machine Learning, Deep learning in Telemedicine application;
  • Pattern Recognition;
  • Personalized healthcare;

Dr. Rafal Doniec
Prof. Dr. Marcin Grzegorzek
Prof. Dr. Ewaryst Tkacz
Prof. Dr. Wojciech Glinkowski
Guest Editors

Manuscript Submission Information

Manuscripts should be submitted online at www.mdpi.com by registering and logging in to this website. Once you are registered, click here to go to the submission form. Manuscripts can be submitted until the deadline. All submissions that pass pre-check are peer-reviewed. Accepted papers will be published continuously in the journal (as soon as accepted) and will be listed together on the special issue website. Research articles, review articles as well as short communications are invited. For planned papers, a title and short abstract (about 100 words) can be sent to the Editorial Office for announcement on this website.

Submitted manuscripts should not have been published previously, nor be under consideration for publication elsewhere (except conference proceedings papers). All manuscripts are thoroughly refereed through a single-blind peer-review process. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page. Applied Sciences is an international peer-reviewed open access semimonthly journal published by MDPI.

Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 2300 CHF (Swiss Francs). Submitted papers should be well formatted and use good English. Authors may use MDPI's English editing service prior to publication or during author revisions.

Keywords

  • Artificial Intelligence
  • medical data analytics
  • machine learning
  • deep learning
  • cybersecurity
  • eHealth
  • mHealth telerehabilitation
  • telediagnostics
  • patient-oriented outcomes, personalized healthcare, digital modeling

Published Papers

This special issue is now open for submission.
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