Intelligent Digital Health Interventions
A special issue of Digital (ISSN 2673-6470).
Deadline for manuscript submissions: closed (31 December 2021) | Viewed by 8592
Special Issue Editors
Interests: mobile health; medical informatics; pervasive computing; artificial intelligence; computerised decision support
Special Issues, Collections and Topics in MDPI journals
Interests: e-health; telemedicine; digital health; public health; health promotion; health literacay; digital health literecy; respiratory medicine
Special Issues, Collections and Topics in MDPI journals
Interests: Internet of Things; security of data; health care; blockchains; diseases; learning (artificial intelligence); data privacy; patient monitoring; cryptography; decision support systems; mobile robots; neural nets; authorisation; computer network security
Special Issues, Collections and Topics in MDPI journals
Special Issue Information
Dear Colleague,
Digital health technology, including modalities such as mobile apps, Internet-linked systems, electronic health records, and monitoring sensors, shows enormous potential to transform healthcare by supporting independent living and self-management, reducing health care costs, and providing significant health outcomes for both patients and medical professionals. The challenge now is to take advantage of the knowledge generated through the collection, processing, and evaluation of clinical, sensed, and behavioral data, in order to support remote medical management and coach patients where required. Toward this end, new intelligent digital health interventions based on tools and algorithms for computerized decision support and machine learning need to be carefully designed, developed, and deployed in real-world settings.
The Special Issue on Intelligent Digital Health Interventions aims to present the latest advances in the application of digital health technologies. Theoretical and practical aspects related to digital health, reviews, as well as interventions targeting the COVID-19 pandemic period are appropriate.
Topics of interest include, but are not limited to:
Mobile and pervasive computing;
- Machine learning approaches;
- Real-world digital health interventions;
- Decision support systems;
- Knowledge discovery in intelligent health systems;
- Natural language processing;
- Mining of electronic health records;
- Security of health information;
- Medical devices, smart biosensors, and sensor networks;
- Internet of Things;
- Augmented or virtual reality applications;
- Usability and patient satisfaction;
- Health education;
- Robotics interventions;
- Digital health technologies designed specifically for children, seniors, or people with chronic disease.
Dr. Andreas Triantafyllidis
Prof. Dr. Mariusz Duplaga
Dr. Konstantinos Votis
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. Digital is an international peer-reviewed open access quarterly journal published by MDPI.
Please visit the Instructions for Authors page before submitting a manuscript. Currently, publication in this open access journal is free. 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
- Digital health
- Machine learning
- Decision support systems
- Mobile computing
- Pervasive health
- Knowledge discovery
- Internet of Things
- Intelligent sensors
- Medical interventions
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