New Methodological Perspectives in Health Statistics and Machine Learning
A special issue of Axioms (ISSN 2075-1680).
Deadline for manuscript submissions: closed (31 December 2023) | Viewed by 294
Special Issue Editor
Special Issue Information
Dear Colleagues,
I am pleased to announce the launch of a new Special Issue in Axioms entitled “New Methodological Perspectives in Health Statistics and Machine Learning”. Despite being more than one century old, data analysis in health still remains a rich field of research in statistical theory and applications. The deployment of proper statistical models is key to facing many real-world problems, and it produces new inspiration for researchers both in the medical and statistical fields.
This Special Issue focuses on the latest advances in statistical models used to develop state-of-the-art tools for medical data processing, enabling the enhancement, extraction, analysis, and understanding of information to support medical research.
I encourage you to submit any research related to novel statistical and machine learning methods developed to solve health data analysis problems or existing advanced methods successfully applied to the field. Topics of interest for submission include, but are not limited to, survival analysis, joint models, Bayesian methods, etc. The publication of methodological and applied research articles and reviews in this Special Issue will make an important contribution to the field of biostatistics.
Dr. Elena Ballante
Guest Editor
Manuscript Submission Information
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Keywords
- statistical models
- machine learning
- health applications
- computational statistics
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