Nonparametric Statistics and Machine Learning with Applications in Health Studies
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 (30 June 2021) | Viewed by 13176
Special Issue Editors
Interests: statistics in medicine
Special Issues, Collections and Topics in MDPI journals
Interests: Statistical modeling; Structural equation modeling; Statistics in Public Health
Interests: Machine learning, Artificial intelligence, data mining, healthcare informatics
Interests: Statistical Methodology; Statistial Modelling in Health, Finance and Environmetrics
Special Issue Information
Dear Colleagues,
Nonparametric statistics and machine learning are two popular research fields which investigate the relationship between response variables and a set of risk factors in Medical Studies. Recently, both of these approaches have seen a significant development. The main target for this issue is to highlight new developments in these two areas mainly focusing on applications in health research.
Dr. Hassan Doosti
Leading Guest Editor
Dr. Nino Kordzakhia
Dr. Kobra Etminani
Dr. Hashem Salarzadeh Jenatabadi
Assistant Guest Editors
Manuscript Submission Information
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Keywords
- Nonparametric Regression Function Estimation
- Machine learning
- Artificial intelligence
- data mining