[1]
|
Predicting the Risk of Diabetes and Heart Disease with Machine Learning Classifiers: The Mediation Analysis
Measurement: Interdisciplinary Research and Perspectives,
2024
DOI:10.1080/15366367.2024.2347811
|
|
|
[2]
|
The Ten-Year Risk Prediction for Cardiovascular Disease for Malaysian Adults Using the Laboratory-Based and Office-Based (Globorisk) Prediction Model
Medicina,
2022
DOI:10.3390/medicina58050656
|
|
|
[3]
|
The Ten-Year Risk Prediction for Cardiovascular Disease for Malaysian Adults Using the Laboratory-Based and Office-Based (Globorisk) Prediction Model
Medicina,
2022
DOI:10.3390/medicina58050656
|
|
|
[4]
|
Analysis of Clinical Parameters for Onset of Cardiovascular Events through Machine Learning Algorithm
TENCON 2022 - 2022 IEEE Region 10 Conference (TENCON),
2022
DOI:10.1109/TENCON55691.2022.9977966
|
|
|
[5]
|
PERsistent Sitagliptin treatment & Outcomes (PERS&O 2.0) study, long-term results: a real-world observation on DPP4-inhibitor effectiveness
BMJ Open Diabetes Research & Care,
2020
DOI:10.1136/bmjdrc-2020-001507
|
|
|
[6]
|
PERsistent Sitagliptin treatment & Outcomes (PERS&O 2.0) study, long-term results: a real-world observation on DPP4-inhibitor effectiveness
BMJ Open Diabetes Research & Care,
2020
DOI:10.1136/bmjdrc-2020-001507
|
|
|
[7]
|
Impact of Bariatric Surgery on Long-term Cardiovascular Risk: Comparative Effectiveness of Different Surgical Procedures
Obesity Surgery,
2019
DOI:10.1007/s11695-019-04237-0
|
|
|
[8]
|
10-Year Cardiovascular Disease Risk Estimation Based on Lipid Profile-Based and BMI-Based Framingham Risk Scores across Multiple Sociodemographic Characteristics: The Malaysian Cohort Project
The Scientific World Journal,
2018
DOI:10.1155/2018/2979206
|
|
|