Select Publications

Preprints

Lukitasari M; Ning N; Liaw S-T; Jalaludin B; Rhee J; Jonnagaddala J, 2026, Incorporation of Visit-to-Visit Blood Pressure Variability into Cardiovascular Disease Risk Prediction, http://dx.doi.org/10.64898/2026.03.03.26347482

Lukitasari M; Argha R; Liaw S-T; Jalaludin B; Rhee J; Jonnagaddala J, 2026, The minimum number of blood pressure measurements needed and thresholds for visit-to-visit blood pressure variability to predict cardiovascular disease in primary care patients, http://dx.doi.org/10.64898/2026.03.02.26347458

Rakhshanda S; Rye K-A; Liaw S-T; Rhee J; Jonnagaddala J, 2026, Predictors of statin adherence in primary care using real-world data, http://dx.doi.org/10.64898/2026.02.24.26347032

Rakhshanda S; Rhee J; Liaw S-T; Rye K-A; Jonnagaddala J, 2026, Interventions to manage intolerance among patients prescribed statins for primary prevention of cardiovascular diseases: A systematic review and meta-analysis, http://dx.doi.org/10.64898/2026.02.23.26346865

Rakhshanda S; Liaw S-T; Rhee J; Rye K-A; Jonnagaddala J, 2026, Predictors of statin intolerance in primary care using real-world data, http://dx.doi.org/10.64898/2026.02.23.26346866

Rakhshanda S; Rhee J; Liaw S-T; Rye K-A; Jonnagaddala J, 2025, Real-World Prevalence of Statin Intolerance in General Practice, http://dx.doi.org/10.1101/2025.11.04.25339533

Hansun S; Argha A; Bakhshayeshi I; Wicaksana A; Alinejad-Rokny H; Fox GJ; Liaw S-T; Celler BG; Marks GB, 2024, Diagnostic Performance of Artificial Intelligence–Based Methods for Tuberculosis Detection: Systematic Review (Preprint), http://dx.doi.org/10.2196/preprints.69068

Craig A; Lawford H; Miller M; Chen-Cao L; Woods L; Liaw S-T; Godinho MA, 2024, Use of Technology to Support Health Care Providers Delivering Care in Low- and Lower-Middle-Income Countries: Systematic Umbrella Review (Preprint), http://dx.doi.org/10.2196/preprints.66288

Buss VH; Barr M; Parker SM; Kabir A; Lau AYS; Liaw S-T; Stocks N; Harris MF, 2024, Correction: Mobile App Intervention of a Randomized Controlled Trial for Patients With Obesity and Those Who Are Overweight in General Practice: User Engagement Analysis Quantitative Study (Preprint), http://dx.doi.org/10.2196/preprints.58507

McGlynn A; Ni She E; Liaw T; Jackson T; Harris-Roxas B, 2024, Mapping the HealthPathways literature: a scoping review protocol, http://dx.doi.org/10.12688/hrbopenres.13737.1

Buss VH; Barr M; Parker SM; Kabir A; Lau AYS; Liaw S-T; Stocks N; Harris MF, 2023, Mobile App Intervention of a Randomized Controlled Trial for Patients With Obesity and Those Who Are Overweight in General Practice: User Engagement Analysis Quantitative Study (Preprint), http://dx.doi.org/10.2196/preprints.45942

Hallinan CM; Ward R; Hart G; Sullivan C; Pratt N; Ng A; Capurro D; Vegt AVD; Liaw T; Daly O; Luxan BG; Bunker D; Boyle D, 2023, Integrated Data Governance, Digital Health, and the Common Data Model (OMOP-CDM), http://dx.doi.org/10.21203/rs.3.rs-3479039/v1

Hansun S; Argha A; Liaw S-T; Celler BG; Marks GB, 2022, Machine and Deep Learning for Tuberculosis Detection on Chest X-Rays: Systematic Literature Review (Preprint), http://dx.doi.org/10.2196/preprints.43154

Argha A; Savkin A; Liaw S-T; Celler BG, 2017, Effect of Seasonal Variation on Clinical Outcome in Patients with Chronic Conditions: Analysis of the Commonwealth Scientific and Industrial Research Organization (CSIRO) National Telehealth Trial (Preprint), http://dx.doi.org/10.2196/preprints.9680


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