By Dr Jitendra Jonnagaddala

Conference Abstracts

Sue D; Ray P; Talaei-Khoei A; Jonnagaddala J, 2014, 'An initial proof of concept for Xbox Kinect as an alternative technology designed to improve driving performance of seniors', in 9th World Conference of Gerontechnology (ISG 2014), Taipei, Taiwan, June 18-21, 2014., Vol. 13, pp. 283 - 283

Meagher NS; Scott G; Hettiaratchi A; Schwensen J; Jonnagaddala J; Caruso L; Ward RL; Crowe P; Salisbury E; Liauw W; others ; Hawkins N, 2014, 'Two years, fifteen hundred consents and counting. Integrating the HSA Biobank within routine clinical practice within the SESLHD.', in Innovations in Cancer Treatment and Care, Sydney, Australia, 17 October 2014., http://dx.doi.org/10.26190/unsworks/25702

Reports

Williamson M; Conway D; Rhee J; Jonnagaddala J; Barr M, 2026, Understanding Type 2 diabetes care in Central and Eastern Sydney, NSW, International Centre for Future Health Systems, UNSW, Sydney, https://d2xnkjysn6lg7q.cloudfront.net/files/unswPDF/1782352164679-diabetes-report-1_icfhs_2026.pdf

Craig A; Beek K; Godinho M; Ansari S; Jonnagaddala J; Linhart C; Hall J; Liaw T, 2022, Digital health and universal health coverage: opportunities and policy considerations for Pacific Island health authorities, WHO, New Delhi, India, http://dx.doi.org/10.26190/unsworks/28338, https://apo.who.int/publications/i/item/digital-health-and-universal-health-coverage-opportunities-and-policy-considerations-for-pacific-island-health-authorities

Liaw T; Ansari S; Jonnagaddala J; Narasimhan P; Ashraf MM; Harris-Roxas B; Harris M, 2019, A review of the use of mHealth to promote healthy ageing and support the delivery of age-friendly health care services in the Western Pacific Region

Jonnagaddala J; Sue D, 2013, A Report on the Workshop on Biobanking Informatics

Preprints

Alba C; Gollapalli SD; Hakam M; Jonnagaddala J; Ng S-K, 2026, AI-aided Population-Level Comparisons of Early Maladaptive Schemas Between Singaporean and Global Online Communities, http://dx.doi.org/10.21203/rs.3.rs-9546073/v1

Doan VT; Hsu H-C; Jonnagaddala J; Pham TTT; Nguyen DH; Dai H-J, 2026, MASR-DNet: A Deformable Multi-scale Spatial Context Attention Network for Aortic Valve Detection in CT and Cardiomegaly Localization in Chest X-ray Images, http://dx.doi.org/10.2139/ssrn.6647041

Hsu H-C; Fang L-C; Mir TH; Chen C-T; Feng H-H; Lai J-R; Nandy P; Panchal O; Liao W-H; Tien Y-Z; Chen P-Z; Lin Y-R; Dai H-J; Jonnagaddala J, A Clinical Speech Corpus with Temporally Aligned Sensitive Health Information, http://dx.doi.org/10.64898/2026.03.31.26349906

Banda JM; Adderley N; Ahmed W-U-R; AlGhoul H; Alser O; Alser M; Areia C; Cogenur M; Fišter K; Gombar S; Huser V; Jonnagaddala J; Lai LY; Leis A; Mateu L; Mayer MA; Minty E; Morales D; Natarajan K; Paredes R; Periyakoil VS; Prats-Uribe A; Ross EG; Singh G; Subbian V; Vivekanantham A; Prieto-Alhambra D, Characterization of long-term patient-reported symptoms of COVID-19: an analysis of social media data, http://dx.doi.org/10.1101/2021.07.13.21260449

Rakhshanda S; Rhee J; Liaw S-T; Rye K-A; Jonnagaddala J, Electronic health record (EHR)-detectable statin intolerance phenotypes: Prevalence and validation in real-world general practice, http://dx.doi.org/10.1101/2025.11.04.25339533

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

Dai H-J; Mir TH; Fang L-C; Chen C-T; Feng H-H; Lai J-R; Hsu H-C; Nandy P; Panchal O; Liao W-H; Tien Y-Z; Chen P-Z; Lin Y-R; Jonnagaddala J, Leveraging State-of-the-Art LLMs for the De-identification of Sensitive Health Information in Clinical Speech, http://dx.doi.org/10.64898/2026.04.13.26349911

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

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

Lukitasari M; Argha R; Liaw S-T; Jalaludin B; Rhee J; Jonnagaddala J, 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

Back to profile page