By Dr Jitendra Jonnagaddala

Conference Papers

Lukitasari M; Jonnagaddala J; Liaw ST; Jalaludin B, 2024, 'Approaches for Evaluating Visit-to-Visit Blood Pressure Variability as a Cardiovascular Disease Risk Factor: A Scoping Review', in Studies in Health Technology and Informatics, pp. 349 - 353, http://dx.doi.org/10.3233/SHTI240417

Gupta S; Liu J; Wong ZSY; Jonnagaddala J, 2024, 'Preliminary Evaluation of Fine-Tuning the OpenDeLD Deidentification Pipeline Across Multi-Center Corpora', in Studies in Health Technology and Informatics, pp. 719 - 723, http://dx.doi.org/10.3233/SHTI240515

Rakhshanda S; Liaw ST; Rhee J; Rye KA; Jonnagaddala J, 2024, 'Strategies to Address Statin Medication Intolerance Among Patients at Risk of Cardiovascular Disease Identified Through Electronic Health Records: A Literature Review and Pooled Analysis', in Studies in Health Technology and Informatics, pp. 132 - 136, http://dx.doi.org/10.3233/SHTI240362

Lukitasari M; Jonnagaddala J; Liaw ST; Jalaludin B, 2024, 'Association between Visit to Visit Blood Pressure Variability and Cardiovascular Outcome: A Meta-Analysis', in Studies in Health Technology and Informatics, pp. 262 - 266, http://dx.doi.org/10.3233/SHTI240149

Rakhshanda S; Liaw ST; Rhee J; Rye KA; Jonnagaddala J, 2024, 'Strategies to Improve Statin Medication Adherence Among Patients at Risk of Cardiovascular Disease Identified Through Electronic Health Records: A Literature Review', in Studies in Health Technology and Informatics, pp. 986 - 990, http://dx.doi.org/10.3233/SHTI231112

Lukitasari M; Liaw ST; Jalaludin B; Jonnagaddala J, 2024, 'Visit-to-Visit Blood Pressure Variability in Cardiovascular Disease', in Studies in Health Technology and Informatics, pp. 1358 - 1359, http://dx.doi.org/10.3233/SHTI231193

Lukitasari M; Liaw S-T; Jalaludin B; Jonnagaddala J, 2023, 'Visit to Visit Blood Pressure Variability and Cardiovascular Disease', in Bichel-Findlay J; Otero P; Scott P; Huesing E (eds.), IOS Press, ICC Sydney, presented at MEDINFO 2023, ICC Sydney, 08 July 2023 - 12 July 2023, http://dx.doi.org/10.3233/SHTI310

Lu Y; Li J; Wang X; Dorajoo S; Feng M; Hsu M-H; Hsu JCC; Hwang J; Iqbal U; Chen ZJ; Jonnagaddala J, 2021, 'Characterizing Dual Combination Therapy Use In Treatment Escalation Of Hypertension: Real-world Evidence From Multinational Cohorts', in CIRCULATION, LIPPINCOTT WILLIAMS & WILKINS, https://www.webofscience.com/api/gateway?GWVersion=2&SrcApp=PARTNER_APP&SrcAuth=LinksAMR&KeyUT=WOS:000752020008052&DestLinkType=FullRecord&DestApp=ALL_WOS&UsrCustomerID=891bb5ab6ba270e68a29b250adbe88d1

Prats-Uribe A; Sena AG; Lai LYH; Ahmed W-U-R; Alghoul H; Alser O; Alshammari TM; Areia C; Carter WA; Casajust P; Dawoud D; Golozar A; Jonnagaddala J; Mehta P; Mengchun G; Morales DR; Nyberg F; Posada JD; Recalde M; Roel E; Shah K; Shah NH; Schilling LM; Subbian V; Vizcaya D; Zhang L; Zhang Y; Zhu H; Liu L; You SC; Rijnbeek PR; Hripcsak G; Lane J; Burn E; Reich C; Suchard MA; Duartes-Salles T; Kostka K; Ryan P; Prieto-Alhambra D, 2021, 'Heterogeneity and temporal variation in the management of COVID-19: A multinational drug utilisation study including 274,719 hospitalised patients from, the United States of America, China, Spain, and South Korea', in PHARMACOEPIDEMIOLOGY AND DRUG SAFETY, WILEY, pp. 78 - 79, https://www.webofscience.com/api/gateway?GWVersion=2&SrcApp=PARTNER_APP&SrcAuth=LinksAMR&KeyUT=WOS:000687807300157&DestLinkType=FullRecord&DestApp=ALL_WOS&UsrCustomerID=891bb5ab6ba270e68a29b250adbe88d1

Ostropolets A; Reich C; Ryan P; Weng C; Molinaro A; DeFalco F; Jonnagaddala J; Liaw ST; Jeon H; Park RW; Spotnitz ME; Natarajan K; Argyriou G; Kostka K; Miller R; Williams A; Minty E; Posada J; Hripcsak G, 2020, 'Characterizing database granularity using SNOMED-CT hierarchy', in AMIA ... Annual Symposium proceedings. AMIA Symposium, pp. 983 - 992

Raju A; Yao J; Haq MMH; Jonnagaddala J; Huang J, 2020, 'Graph Attention Multi-instance Learning for Accurate Colorectal Cancer Staging', in Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), pp. 529 - 539, http://dx.doi.org/10.1007/978-3-030-59722-1_51

Chen A; Jonnagaddala J; Nekkantti C; Liaw S-T, 2019, 'Generation of Surrogates for De-Identification of Electronic Health Records.', in MedInfo, pp. 70 - 73

Chang N-W; Jonnagaddala J; Wang F-D; Dai H-J, 2018, 'A study on identification of organism and micro-RNA mentions in figure captions', in Proceedings of the BioCreative VI Challenge and Workshop (October 18–20). DoubleTree by Hilton Hotel, Bethesda, Maryland, USA, pp. 28 - 31

Chen A; Zhang Y; Jonnagaddala J, 2018, 'Action tremor detection in Parkinson’s disease patients using smartphone based sensor data', in 2017 Parkinson’s Disease Digital Biomarker DREAM Challenge, http://doi.org/10.7303/syn11423921, http://doi.org/10.7303/syn11423921

Liyanage H; Liaw S-T; Jonnagaddala J; Hinton W; de LUSIGNAN S, 2018, 'Common Data Models (CDMs) to Enhance International Big Data Analytics: A Diabetes Use Case to Compare Three CDMs.', in EFMI-STC, pp. 60 - 64

Chen EZ-Y; Singh O; Jue TR; Wang C-K; Jonnagaddala J; Dai H-J, 2018, 'Identifying Mutation-induced Protein-Protein Interactions in Scientific Literature', in Proceedings of the BioCreative VI Challenge Evaluation Workshop

Jonnagaddala J; Dai HJ; Chang YC, 2017, 'Introduction', in DDDSM 2017 - 1st International Workshop on Digital Disease Detection using Social Media, Proceedings of the Workshop, pp. iii

Jonnagaddala J; Hu F, 2017, 'Automatic coding of death certificates to ICD-10 terminology', in In Working Notes of CLEF 2017 - Conference and Labs of the Evaluation forum, Dublin, Ireland, September 11-14, 2017

Huang Y-J; Su CH; Chang Y-C; Ting T-H; Fu T-Y; Wang R-M; Dai H-J; Chang Y-C; Jonnagaddala J; Hsu W-L, 2017, 'Incorporating dependency trees improve identification of pregnant women on social media platforms', in Proceedings of the International Workshop on Digital Disease Detection using Social Media 2017 (DDDSM-2017), pp. 26 - 32

Jonnagaddala J; Dai H-J; Wang C-K; Lai P-T, 2017, 'Performance and interoperability assessment of Disease Extract Annotation Server (DEAS)', in Proceedings of the BioCreative V.5 Challenge Evaluation Workshop, Barcelona, Spain, April 26-27, 2017

Adam DC; Jonnagaddala J; Han-Chen D; Batongbacal S; Almeida L; Zhu JZ; Yang JJ; Mundekkat JM; Badman S; Chughtai A; others , 2017, 'ZikaHack 2016: A digital disease detection competition', in Proceedings of the International Workshop on Digital Disease Detection using Social Media 2017 (DDDSM-2017), pp. 39 - 46

Jonnagaddala J; Jue TR; Dai H-J, 2016, 'Binary classification of Twitter posts for adverse drug reactions', in Proceedings of the Social Media Mining Shared Task Workshop at the Pacific Symposium on Biocomputing

Jonnagaddala J; Croucher JL; Jue TR; Meagher NS; Caruso L; Ward R; Hawkins NJ, 2016, 'Integration and Analysis of Heterogeneous Colorectal Cancer Data for Translational Research', in Nursing Informatics 2016, pp. 387 - 387

Jonnagaddala J; Liaw ST; Ray P; Liaw T, 2015, 'Impact of data quality assessment on development of clinical predictive models.', in Sarkar IN; Georgiou A; Marques PMD (eds.), Studies in health technology and informatics, IOS PRESS, BRAZIL, Int Med Informat Assoc, Brazilian Hlth Informat Soc, Sao Paulo, pp. 1069 - 1069, presented at 15th World Congress on Health and Biomedical Informatics (MEDINFO), BRAZIL, Int Med Informat Assoc, Brazilian Hlth Informat Soc, Sao Paulo, 19 August 2015 - 23 August 2015, http://dx.doi.org/10.3233/978-1-61499-564-7-1069

Jonnagaddala J; Dai H-J; Ray P; Liaw S-T, 2015, 'A preliminary study on automatic identification of patient smoking status in unstructured electronic health records', in Proceedings of BioNLP 15, pp. 147 - 151

Jonnagaddala J; Chang N-W; Jue TR; Dai H-J, 2015, 'Recognition and normalization of disease mentions in PubMed abstracts', in Proceedings of the fifth BioCreative challenge evaluation workshop, Sevilla, Spain, September 9-11, 2015.

Jonnagaddala J; Liaw S-T; Rayb P; Kumarc M; Dai H-J, 2015, 'TMUNSW: Identification of disorders and normalization to SNOMED-CT terminology in unstructured clinical notes', in 9th International Workshop on Semantic Evaluations.

Lin W-S; Dai H-J; Jonnagaddala J; Chang N-W; Jue TR; Iqbal U; Shao JY-H; Chiang I-J; Li Y-C, 2015, 'Utilizing different word representation methods for twitter data in adverse drug reactions extraction', in 2015 Conference on Technologies and Applications of Artificial Intelligence (TAAI), IEEE, pp. 260 - 265, IEEE

Jonnagaddala J; Liaw S-T; Ray P; Kumar M; Dai H-J, 2014, 'HTNSystem: Hypertension Information Extraction System for Unstructured Clinical Notes', in Technologies and Applications of Artificial Intelligence, Taipei, Taiwan, 21-23 November 2014, Springer International Publishing, pp. 219 - 227, Springer International Publishing

Jonnagaddala J; Kumar M; Dai H-J; Rachmani E; Hsu C-Y, 2014, 'TMUNSW: Disorder Concept Recognition and Normalization in Clinical Notes for SemEval-2014 Task 7', in 8th International Workshop on Semantic Evaluation (SemEval 2014), Dublin, Ireland, August 23-24, 2014., ACL Anthology, pp. 663 - 667, ACL Anthology

Jonnagaddala J; Li J; Ray P, 2013, 'Evaluation of caBIG¯ caTissue Software', in World Congress on Medical Physics and Biomedical Engineering May 26-31, 2012, Beijing, China, Springer, Berlin, Heidelberg, pp. 1592 - 1595, Springer, Berlin, Heidelberg

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