Statistical Learning in Medicine and Healthcare
A special issue of Mathematics (ISSN 2227-7390). This special issue belongs to the section "Mathematical Biology".
Deadline for manuscript submissions: closed (30 November 2023)
Special Issue Editors
Interests: machine learning; computational pathology; medical image analysis; knowledge systems
Interests: Statistical Learning Frameworks; Automated Systems
Interests: Medical Image Analysis; Bioinformatics; Machine Learning
Interests: Machine Learning; Pattern Recognition; Supervised Learning; Feature Extraction
Interests: Machine Learning; Low Consumption Machine Learning System
Interests: Data Science and Machine Learning; Applied Mathematics for Machine Learning; Medical Image Analysis
Special Issues, Collections and Topics in MDPI journals
Special Issue Information
Dear Colleagues,
Statistics-based machine learning techniques have achieved remarkable success in the medical and health fields in recent years. In many application fields, such as: computational pathology, CT, MRI and other medical image analysis, surgical imaging, patient clinical data modelling, auxiliary clinic, bioinformatics modelling, new drug discovery, patient prognosis status tracking, etc. At the same time, the results of mining and analysis of medical and healthcare data are also driving novel discoveries in medical research in many cases.
An issue worth investigating is the latest mathematical modelling methods and trends in their development when using statistical and machine learning methods to process and analyse medical healthcare data.
This special issue will collect manuscripts on, but not limited to, the following topics: statistical analysis of data in medicine and health; machine learning methods in medical applications, neural network methods; statistical modelling, topology modelling, geometric modelling and optimisation theory for intelligent medical applications; computational statistics for biological and medical data; statistical analysis for medical data Integration, data visualisation; multi-modal medical data feature mapping, feature fusion; medical data pattern learning, prediction models, decision support tools, etc.
Dr. Yang Hu
Dr. Dan Dai
Dr. Mengran Fan
Dr. Kaixiang Yang
Dr. Yifan Shi
Dr. Wenming Cao
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. Mathematics 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.
Keywords
- machine learning
- computational statistics
- healthcare data mining
- biomedical informatics
- multimodal medical data analysis
