Current Trends and Practices in Smart Health Monitoring
A special issue of Sensors (ISSN 1424-8220). This special issue belongs to the section "Intelligent Sensors".
Deadline for manuscript submissions: closed (25 November 2023) | Viewed by 11935
Special Issue Editor
Interests: big data analysis and mining; mobility mining; social network data analysis and mining; health informatics
Special Issues, Collections and Topics in MDPI journals
Special Issue Information
Dear Colleagues,
Smart Health indicates the use of new technologies in the healthcare sector. Innovative tools include Internet of Things (IoT) devices, communication technologies, cloud computing, artificial intelligence (AI), and big data. Thanks to sensors and devices connected to patients, such as technologically advanced bracelets and watches, it is possible to collect data on the state of health of people and treat them, even remotely, anticipating critical situations before they occur. The use of those technologies to support healthcare helps to improve the quality of parental life, assist practitioners and healthcare providers in decision making, collect and exchange information, and prevent fatal events (such as a heart attacks). Such tools produce large amounts of high-dimensional, weakly structured data sets and massive amounts of unstructured information. The possibility of using this enormous and complex clinical data becomes real thanks to advances in AI techniques, which helps to integrate and analyze huge volumes of geographically distributed, heterogeneous clinical data. Recently, novel data sources, such as social network data, have been explored to monitor and analyze health issues with applications in disease surveillance and epidemiological studies. Seminal works have shown that geo-tagged data can be used to track and predict diseases. A number of smart health topics have started to be addressed, including early diagnosis of congestive heart failure, prevention of diabetes, and continuous monitoring of patients psychological and health conditions, in order to facilitate a timely response to emergency pharmacovigilance, user behavioral patterns, drug abuse, depression, well-being, assisted living, and tracking infectious/viral disease spread.
The Special Issue aims to address these topics by focusing on novel solutions, methodologies, algorithms, and models for smart health systems.
Topics of interest include, but are not limited to:
- Personal health virtual assistant;
- Early disease diagnosis and treatment prediction;
- Clinical decision support in disease diagnosis and treatment;
- Methods for the automatic detection and extraction of health-related concept;
- Application of deep learning methods to health data;
- Methods for capturing outbreaks of infectious diseases;
Drug adversial reaction; - Pervasive and unobtrusive physiological monitoring solutions;
- Wearable health monitoring technologies;
- Internet of Healthcare Things (IoHT);
- Multimodal sensing and analysis solutions;
- Data fusion and multivariate algorithm development;
- Machine learning/deep learning techniques for real-time wearable sensor data analytics;
- Symptom detection/forecasting using advanced AI-enabled techniques.
Submitted manuscripts should present novel contributions highlighting innovative technologies and applications. Relevant topical reviews are also encouraged for submission.
Dr. Carmela Comito
Guest Editor
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. Sensors 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 2600 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.
Benefits of Publishing in a Special Issue
- Ease of navigation: Grouping papers by topic helps scholars navigate broad scope journals more efficiently.
- Greater discoverability: Special Issues support the reach and impact of scientific research. Articles in Special Issues are more discoverable and cited more frequently.
- Expansion of research network: Special Issues facilitate connections among authors, fostering scientific collaborations.
- External promotion: Articles in Special Issues are often promoted through the journal's social media, increasing their visibility.
- e-Book format: Special Issues with more than 10 articles can be published as dedicated e-books, ensuring wide and rapid dissemination.
Further information on MDPI's Special Issue polices can be found here.
