The Role of Data Science, and Computer Vision in Public Health
A special issue of International Journal of Environmental Research and Public Health (ISSN 1660-4601). This special issue belongs to the section "Digital Health".
Deadline for manuscript submissions: closed (31 October 2022) | Viewed by 6783
Special Issue Editors
Interests: machine learning; signal processing; image processing; machine fault diagnosis and health prognosis; condition monitoring; deep learning; embedded systems
Special Issues, Collections and Topics in MDPI journals
Interests: digital condition monitoring; mechanical signal processing; computer vision; machine learning
Special Issues, Collections and Topics in MDPI journals
Interests: fault diagnosis; prognosis; control; machine learning; deep learning
Special Issues, Collections and Topics in MDPI journals
Interests: digital signal processing; image processing; multimedia systems; parallel programming; fault diagnosis; IoT smart devices; data communication and networks; microprocessors; computer architecture
Special Issues, Collections and Topics in MDPI journals
Special Issue Information
Dear Colleagues,
In recent years, the use of massive amounts of data has become critical in the public health sector. We have seen several cases throughout this COVID-19 outbreak. Numerous efforts have been made to forecast the spread of this fatal epidemic. Computer vision is critical in this field. As with past years, we have witnessed significant advancements in cancer detection, COVID x-ray processing, brain signal analysis, and stress analysis using computer vision and machine learning. As such, we want to focus on tackling challenges in the public health sector through the use of signal/image processing, machine learning, and data science in this Special Issue. This will attract healthcare practitioners who have access to fascinating data sources but lack the competence necessary to properly use machine learning techniques.
We would like to extend an invitation to all prospective researchers to submit publications to this Special Issue.
The main topics of this Special Issue include but are not limited to the following:
- Information fusion and knowledge transfer in biomedical and healthcare applications;
- Biomedical image processing for health care system enhancement;
- Biomedical signal processing, environmental data processing;
- Imaging sensing tools, technologies, and applications in biomedical research;
- Medical image compression;
- Drug discovery, patient safety, and clinical risk management;
- Cancer discovery;
- COVID-19 analysis, and prediction;
- Effects of COVID-19 vaccine on day-to-day life;
- Brain signal analysis for health state estimation;
- Sleep analysis;
- Federated learning for biomedical and healthcare data.
Prof. Dr. Jong-Myon Kim
Dr. Md Junayed Hasan
Dr. Farzin Piltan
Dr. Jia Uddin
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. International Journal of Environmental Research and Public Health is an international peer-reviewed open access monthly 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 2500 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
- brain signal analysis
- machine learning
- deep learning
- cancer discovery
- COVID-19 analysis
- sleep analysis
- cancer detection
- drug discovery
- EEG analysis
- X-ray image analysis
- CNN
- RNN
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 policies can be found here.
