Machine Learning and Health Informatics: Techniques, Applications, and Advancements
A special issue of Information (ISSN 2078-2489). This special issue belongs to the section "Artificial Intelligence".
Deadline for manuscript submissions: closed (31 March 2021) | Viewed by 10946
Special Issue Editors
Interests: artificial intelligence; semantic web; health informatics
Special Issues, Collections and Topics in MDPI journals
Interests: semantic web; data mining; context-aware computing; secure computing; smart cities
Special Issues, Collections and Topics in MDPI journals
Special Issue Information
Dear Colleagues,
Machine Learning (ML) is widely used in the fields of computer sciences, healthcare, bioinformatics, businesses, social media analysis, and smart cities to facilitate accurate analysis, monitoring, and decision-making. These ML applications have revolutionized the Health Informatics (HI) domain; a number of advanced applications can be found in various fields of healthcare ranging from e-healthcare to personalized healthcare. These applications assist physicians in complex diagnosis, patient-context-based selection of treatment regimens, patient monitoring in controlled and uncontrolled environments, evidence-based personalized decision-making, personalized medicine and monitoring, and drug development, to name a few. ML pertaining to diagnosis deals with identifying patterns of certain diseases within Electronic Medical Record (EMR) data. Such applications are useful for identifying anomalies in patients’ health records which can be flagged for further investigation by caregivers. Prognosis for a disease, such as cancer, is considered to be a highly complicated process. In this regard, ML applications assist the physician in modeling the prognosis through a number of clinical variables, such as gene expression profiles, histological parameters, and other relevant factors. Likewise, drug discovery processes are long and complex in nature and are affected by environmental factors. ML techniques can assist in decision-making in all stages of the discovery process, such as identification of biomarkers, digital pathology in clinical trials, target validation, and others. This Special Issue is focused on how to identify, select, develop, test, and implement an appropriate ML method/algorithm/application in the presence of multiple health issues, geological factors, and patient attributes, considering the availability of relevant facilities.
This Special Issue aims to cover novel and state-of-the-art technologies and methods in the area of Machine Learning combined with Health Informatics, with the purpose of improving quality and accuracy of the eHealth, uHealth, and mHealth applications. The editors welcome high-quality and original research articles and reviews.
Relevant topics for this Special Issue include but are not limited to the following:
- Knowledge Graph and its utilization in health informatics;
- Health informatics initiatives and their design, implementation, evaluation, and adoption;
- COVID-19 and machine learning—the challenges and lessons learned;
- Precision medicine;
- Internet of Medical Things;
- Deep learning in healthcare;
- Security and privacy in healthcare;
- Blockchain in healthcare;
- Knowledge maintenance and evolution;
- Context-aware systems and their applications in healthcare;
- Big medical data and analytics;
- Evidence-based decision-making;
- Case studies of machine learning and health informatics;
- Machine learning, healthcare, and smart cities.
Dr. Wajahat Ali Khan
Dr. Asad Masood Khattak
Dr. Zeeshan Pervez
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. Information 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 1600 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
- Health informatics
- Precision medicine
- Big medical data
- Machine learning
- Knowledge management
- Internet of Things
- Security and privacy
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