Dr. Nurliyana Binti Juhan
Pusat Persediaan Sains Dan Teknologi, UMS
My research expertise is anchored in the fields of Medical Statistics, Data Analysis, and Bayesian Modelling, where I have dedicated my efforts to advancing statistical methodologies in the context of medical research. With a keen focus on extracting meaningful insights from complex healthcare datasets, my work contributes to evidence-based decision-making and enhances the overall landscape of medical inquiry. Beyond the realm of Medical Statistics, my research portfolio extends into diverse areas, including Mathematics Education and Machine Learning. This multidisciplinary engagement underscores my commitment to exploring innovative intersections and applying statistical techniques across various domains, fostering a comprehensive and adaptable approach to research.
Contact Information
Academic Department
Pusat Persediaan Sains Dan Teknologi, UMS
Appointed Department
Pusat Persediaan Sains Dan Teknologi, UMS
Education
Doktor Falsafah (matematik)
Universiti Teknologi Malaysia (Skudai)
2020
Ijazah Sarjana Sains (statistik)
Universiti Malaya
2013
Ijazah Sarjana Muda Pendidikan Dengan Kepujian (pendidikan Dengan Sains)
Universiti Malaysia Sabah
2010
Research Collaborators
Research
Projects
11
Active
6
Grants
RM 938,462.99
Research Interests & Expertise
Bioinformatics - Epidemiological and Disease Modelling
Education - STEM Education
Information And Communication Technology (ict) - Predictive Analytics in Machine Learning
Statistical Studies - Bayesian Statistics
Publications
Total Publications by Year
Scopus Metrics
Scopus ProfileDocuments
20
H-Index
3
Citations
34
Affiliation
Universiti Malaysia Sabah
Research listing
Current Research Projects
Edutech stem analytics: empowering stem with iot, drones & computational thinking in sabah
Member
2025 - 2027
Comparison of supervised learning algorithms in identifying influential factors in students’ mathematics performance.
Leader
2024 - 2026
Meningkatkan enrolmen pelajar dalam bidang berkaitan sains, teknologi, kejuruteraan dan matematik (stem) melalui pelaksanaan program promosi dan kesedaran melibatkan sekolah awam di sabah malaysia
Member
2024 - 2026
Statistical modelling of disease prognosis based on complete blood count data
Leader
2023 - 2026
Bayesian approach to support triaging of renal disease and diabetes patients using complete blood count test data
Leader
2023 - 2027
Integration of stem among the rural area students in sabah through stem module
Member
2021 - 2023
Publications listing
NOTE: PUBLICATION DATA FOR THE LAST 3 YEARS WILL BE DISPLAYED
Showing 11 to 12 of 12 entries
Nurliyana Binti Juhan (2023), Predictors On Outcomes Of Cardiovascular Disease Of Male Patients In Malaysia Using Bayesian Network Analysis
Nurliyana Binti Juhan (2023), Predictors On Outcomes Of Cardiovascular Disease Of Male Patients In Malaysia Using Bayesian Network Analysis
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