By Dr Jitendra Jonnagaddala

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

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, 2026, 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

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, 2026, A Clinical Speech Corpus with Temporally Aligned Sensitive Health Information, http://dx.doi.org/10.64898/2026.03.31.26349906

Guo J; You L; Liu L; Jiao X; Kar D; Jonnagaddala J, 2026, The Effectiveness of Digital Therapeutics Intervention in Oral Anticoagulation Management: A Systematic Review and Meta-analysis, http://dx.doi.org/10.1016/j.mcpdig.2026.100336

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

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; 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; 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

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; Rhee J; Liaw S-T; Rye K-A; Jonnagaddala J, 2025, 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

Banda J; 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 LYH; Leis A; Mateu L; Mayer MA; Minty E; Morales D; Natarajan K; Paredes R; Periyakoil V; Prats-Uribe A; Ross E; Singh G; Subbian V; Vivekanantham A; Prieto-Alhambra D, 2021, 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

Golozar A; Lai LY; Sena AG; Vizcaya D; Schilling LM; Huser V; Nyberg F; Duvall SL; Morales DR; Alshammari TM; Abedtash H; Ahmed W-U-R; Alser O; Alghoul H; Zhang Y; Gong M; Guan Y; Areia C; Jonnagaddala J; Shah K; Lane JCE; Prats-Uribe A; Posada JD; Shah NH; Subbian V; Zhang L; Abrahão MTF; Rijnbeek PR; You SC; Casajust P; Roel E; Recalde M; Fernández-Bertolín S; Andryc A; Thomas JA; Wilcox AB; Fortin S; Blacketer C; DeFalco F; Natarajan K; Falconer T; Spotnitz M; Ostropolets A; Hripcsak G; Suchard M; Lynch KE; Matheny ME; Williams A; Reich C; Duarte-Salles T; Kostka K; Ryan PB; Prieto-Alhambra D, 2020, Baseline phenotype and 30-day outcomes of people tested for COVID-19: an international network cohort including >3.32 million people tested with real-time PCR and >219,000 tested positive for SARS-CoV-2 in South Korea, Spain and the United States., http://dx.doi.org/10.1101/2020.10.25.20218875

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