Data Analysis and Information Retrieval for Healthcare
A special issue of Mathematics (ISSN 2227-7390). This special issue belongs to the section "Mathematics and Computer Science".
Deadline for manuscript submissions: 31 May 2024 | Viewed by 1037
Special Issue Editors
Interests: developing scalable preprocessing and large-scale machine learning techniques for big data streams; data mining, natural language processing; information retrieval; application of deep learning in healthcare; distributed computing; mHealth wearable sensor data analytic
Interests: multivariate analysis; structural equation modeling; multilevel analysis; latent growth curve modeling; time series analysis
Special Issue Information
Dear Colleagues,
An enormous amount of healthcare data is currently being generated from a multitude of sources, such as electronic health record systems, administrative and claims data, genomic and pharmaceutical data, clinical trials, telemedicine, mobile apps, wearable sensors, etc. These large-scale datasets are utilized by researchers to design artificial intelligence (AI) algorithms and develop tools to improve disease diagnosis, treatment, and patient care. These AI-enabled tools not only assist doctors’ to obtain early insights into diseases, but also accelerate the diagnosis process and provide support to clinics and hospitals.
Healthcare data appear in various formats, ranging from structured to unstructured, including text, images, signals, etc., which increases challenges in relation to effective storage, access, and retrieval in the domain of healthcare. With recent advances in AI and machine learning techniques nowadays, there are a variety of methods that are developed and applied to obtain a more comprehensive data analysis and information retrieval in the healthcare domain.
This Special Issue focuses on novel methods and solutions for effective data analysis and information retrieval in healthcare.
We invite researchers from academia and industry to present their recent and unpublished studies in this Special Issue. This will help to share knowledge and foster future research in the field.
Dr. Vibhuti Gupta
Dr. Kwanghee Jung
Dr. Long Nguyen
Guest Editors
Manuscript Submission Information
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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.
Keywords
- health information retrieval
- machine learning
- big data analytics
- natural language processing
- deep learning
