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CV Information
DR. WAN NOR ARIFIN BIN WAN MANSOR
EXPERT IN

APPLIED SCIENCE AND TECHNOLOGY

SCHOOL OF MEDICAL SCIENCES
Health Campus
UNIVERSITI SAINS MALAYSIA (USM)
Starting Date in USM: 01 January 2013
wnarifin@usm.my
+6(09) 767 (Ext) 6825
https://experts.usm.my/cvitae/wnarifin
https://wnarifin.github.io/
  • MBBS, PERUBATAN
    UNIVERSITI ISLAM ANTARABANGSA MALAYSIA (MALAYSIA)
  • MASTER OF SCIENCE, STATISTIK PERUBATAN
    UNIVERSITI SAINS MALAYSIA (USM) (MALAYSIA)
  • PhD, INTELLIGENT SYSTEM
    UNIVERSITI SAINS MALAYSIA, KUBANG KERIAN (MALAYSIA)
BIOGRAPHY
He is a senior lecturer in the Biostatistics and Research Methodology Unit at the School of Medical Sciences. His main research areas include developing and validating measurement tools, creating tools and methods for calculating sample sizes, and applying machine learning methods and large language models in clinical and public health settings. He promotes the use of R and Python programming languages among medical and health science researchers
RESEARCH INTERESTS
Research interests: 1. Development and validation of measurement tools in clinical and public health settings; 2. Machine learning applications in clinical and public health settings; 3. Sample size calculation; 4. R programming language and R function/package development; 5. Statistical methods and computational algorithms
Scopus ID
55630160900
Researcher ID
N-1800-2019
ORCID
0000-0001-7786-4251
Google Scholar ID
iWr_cbAAAAAJ
EXPERTISE
  1. FORMAL SCIENCES >> Statistics > Exploratory Data Analysis
  2. FORMAL SCIENCES >> Statistics > Biostatistics and Medical Statistics
  3. FORMAL SCIENCES >> Statistics > Statistical Computing
  4. APPLIED SCIENCE AND TECHNOLOGY >> Artificial Intelligence and Machine Learning > Predictive Analytics in Machine Learning
  5. APPLIED SCIENCE AND TECHNOLOGY >> Bioinformatics Tools, Platforms and Technologies > Epidemiological and Disease Modelling
  6. APPLIED SCIENCE AND TECHNOLOGY >> Medical Device, Equipment and System > Artificial Intelligent for Medical Diagnostic System
  7. SOCIAL SCIENCES >> Psychology > Psychometrics
SDG (Research Grants)
Expertise Indicator:
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