Intelligent Data Mining/Analytics Approaches in Healthcare
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 (15 October 2023) | Viewed by 335
Special Issue Editors
Interests: smart process monitoring; predictive analysis in disease diagnosis; adverse drug event analysis using machine learning
Special Issue Information
Dear Colleagues,
Historically, artificial intelligence (AI) has been a subject of interest in the field of computer science. AI was, however, rarely employed in the past since it requires a great deal of processing power. Nevertheless, AI and machine learning have become hot topics in recent years as a result of the advancements in computer processing units. As AI continues to expand, researchers in various fields have been provided with new opportunities to improve the quality of their work. The use of AI and machine learning models in healthcare has especially become increasingly popular.
With the advent of big data and AI, it has been made possible to explore a great deal of healthcare-related data with reduced effort. There is an abundance of disease-related data available to hospitals and health departments that can be used by AI to perform early detection and accurate diagnosis. It is possible to find a number of smart models in these databases that can assist physicians and healthcare professionals in making more informed decisions. For instance, studies on cancer detection, diagnosis, and therapy have been conducted that can assist patients in detecting cancer before it has spread to the point where it is no longer treatable. There is, however, a great deal of research that needs to be conducted as the field is still in its infancy and requires further study.
To address this issue, we are organizing a Special Issue on Intelligent Data Mining/Analytics Approaches in Healthcare. We welcome studies on all types of data-driven approaches in healthcare for the purpose of providing readers with the latest information on the potential use of AI and machine learning in helping to improve early, consistent, and precise disease diagnosis. It is our belief that high-quality studies in this field will ultimately lead to the next milestone for the application of AI in the early detection and treatment of diseases, and we invite you to take part in the process. In order to facilitate your decision-making process, we have listed some keywords below that provide examples of the possibilities available.
Dr. Mohammadhossein Amini
Dr. Majid Jaberi-Douraki
Guest Editors
Manuscript Submission Information
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Keywords
- predictive modeling
- disease diagnosis
- machine learning
- healthcare
- big data
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