Dr. Nurliyana Binti Juhan

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

6

Active

6

Grants

RM 436,000.00


Research Interests & Expertise

Bioinformatics - Epidemiological and Disease Modelling

Education - STEM Education

Information And Communication Technology (ict) - Predictive Analytics in Machine Learning

Specialist Topics In Mathematics - Mathematics and Statistics for Science and Engineering

Statistical Studies - Bayesian Statistics

Statistical Studies - Biostatistics and Medical Statistics

Statistical Studies - Exploratory Data Analysis (Including Statistical Modelling)

Publications

Total Publications by Year

NOTE: N/A = Data not available, 0 = Data not completed


Scopus Metrics

Scopus Profile

Documents

18

H-Index

3

Citations

30

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 - 2026

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 1 to 10 of 10 entries

1.

Mohammad Zahirul Hoque , Nurliyana Binti Juhan (2026) , Application Of Exploratory And Confirmatory Factor Analysis To Model Loneliness Dimensions Among Pre-university Students

2.

Nurliyana Binti Juhan (2025) , Semi-parametric Analysis Of Cervical Cancer Data: A Single-centre Study

3.

Nurliyana Binti Juhan (2025) , Modelling Malaysian Mortality Improvement Using A Hybrid Logistic Spline

4.

Nurliyana Binti Juhan (2025) , Comparative Analysis Of Imputation Methods For Missing Environmental Data: A Case Study On Ozone Concentrations

5.

Mohammad Zahirul Hoque , Nurliyana Binti Juhan (2025) , Examining The Role Of Sociodemographic Characteristics And Smartphone Usage Patterns On Smartphone Addiction Among Foundation Program Students Using Multiple Regression Analysis

6.

Nurliyana Binti Juhan (2024) , Evaluating Mcmc Convergence In A Bayesian Model Of St-elevation Myocardial Infarction Female Patients In Malaysia

7.

Nurliyana Binti Juhan , Ho Chong Mun , Nornazirah Binti Azizan (2024) , Predictive Factors For Diabetes Mellitus: Insights From Complete Blood Count Analysis

8.

Nurliyana Binti Juhan , Nornazirah Binti Azizan (2024) , Predictive Factors For Diabetes Mellitus: Insights From Complete Blood Count Analysis Faktor Ramalan Untuk Diabetes Melitus: Suatu Pandangan Daripada Analisis Kiraan Darah Lengkap

9.

Nurliyana Binti Juhan (2023) , Predictors On Outcomes Of Cardiovascular Disease Of Male Patients In Malaysia Using Bayesian Network Analysis

10.

Nurliyana Binti Juhan (2023) , Predictors On Outcomes Of Cardiovascular Disease Of Male Patients In Malaysia Using Bayesian Network Analysis