Special Issue "Computer Technologies in Personalized Medicine and Healthcare"

A special issue of Computers (ISSN 2073-431X).

Deadline for manuscript submissions: 15 June 2019

Special Issue Editors

Guest Editor
Prof. Dr. Wenbing Zhao

Department of Electrical Engineering and Computer Science, Cleveland State University, Cleveland, OH 44011, USA.
Website 1 | Website 2 | E-Mail
Interests: distributed systems; blockchains; smart healthcare; sensor networks; Internet of Things
Guest Editor
Dr. Yongqiang Cheng

School of Engineering and Computer Science, University of Hull, Hull, HU6 7RX, UK
Website | E-Mail
Interests: digital healthcare technologies; embedded systems; control theory and applications; AI; data mining

Special Issue Information

Dear Colleagues,

Various computer technologies are transforming the practice of medicine and healthcare. It has been well-recognized that personalized medicine and healthcare would be much more effective than the traditional one-size-for-all model. The availability of smartphones, smartwatches, and health trackers makes it possible for collect valuable data from individuals. The collected data can then be analyzed and used to train personalized models, which could lead to early diagnosis of diseases and personized treatments. Technologies have also been used to help diagnose some diseases much faster, and potentially with higher accuracy. On the other hand, the availability of consumer-grade depth cameras makes it possible to develop systems that be deployed at residential homes to help guide patients to perform rehabilitation exercises for a speedy recovery. Furthermore, virtual reality has been used in the medical setting to reduce patient pain levels. It is foreseeable that similar technologies exemplified by Microsoft HoloLens, Mixed Reality Headsets, virtual reality headsets such as HTC Vive and Oculus, can be used to deliver personalized immersive content to reduce stress, depression, addiction, and to treat other mental illnesses. Technologies are also being developed to monitor seniors who suffer from mild cognitive impairments and dementia, and to provide the necessary intervention. In summary, there are tremendous exciting opportunities for computer scientists and medical professionals to work together to transform medicine and healthcare.  

Prof. Dr. Wenbing Zhao
Dr. Yongqiang Cheng
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 papers will be 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. Computers is an international peer-reviewed open access quarterly 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 550 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

  • mHealth
  • sensors
  • virtual reality
  • mixed reality
  • machine learning
  • activities of daily life
  • image processing

Published Papers (1 paper)

View options order results:
result details:
Displaying articles 1-1
Export citation of selected articles as:

Research

Open AccessArticle Prototypes of User Interfaces for Mobile Applications for Patients with Diabetes
Received: 7 October 2018 / Revised: 7 December 2018 / Accepted: 18 December 2018 / Published: 23 December 2018
PDF Full-text (1238 KB) | HTML Full-text | XML Full-text
Abstract
We live in a heavily technologized global society. It is therefore not surprising that efforts are being made to integrate current information technology into the treatment of diabetes mellitus. This paper is dedicated to improving the treatment of this disease through the use [...] Read more.
We live in a heavily technologized global society. It is therefore not surprising that efforts are being made to integrate current information technology into the treatment of diabetes mellitus. This paper is dedicated to improving the treatment of this disease through the use of well-designed mobile applications. Our analysis of relevant literature sources and existing solutions has revealed that the current state of mobile applications for diabetics is unsatisfactory. These limitations relate both to the content and the Graphical User Interface (GUI) of existing applications. Following the analysis of relevant studies, there are four key elements that a diabetes mobile application should contain. These elements are: (1) blood glucose levels monitoring; (2) effective treatment; (3) proper eating habits; and (4) physical activity. As the next step in this study, three prototypes of new mobile applications were designed. Each of the prototypes represents one group of applications according to a set of given rules. The most optimal solution based on the users’ preferences was determined by using a questionnaire survey conducted with a sample of 30 respondents participating in a questionnaire after providing their informed consent. The age of participants was from 15 until 30 years old, where gender was split to 13 males and 17 females. As a result of this study, the specifications of the proposed application were identified, which aims to respond to the findings discovered in the analytical part of the study, and to eliminate the limitations of the current solutions. All of the respondents expressed preference for an application that includes not only the key functions, but a number of additional functions, namely synchronization with one of the external devices for measuring blood glucose levels, while five-sixths of them found suggested additional functions as being sufficient. Full article
(This article belongs to the Special Issue Computer Technologies in Personalized Medicine and Healthcare)
Figures

Figure 1

Computers EISSN 2073-431X Published by MDPI AG, Basel, Switzerland RSS E-Mail Table of Contents Alert
Back to Top