By Dr Jitendra Jonnagaddala

Conference Papers

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

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, 2017 Parkinson’s Disease Digital Biomarker DREAM Challenge, http://doi.org/10.7303/syn11423921, presented at 2017 Parkinson’s Disease Digital Biomarker DREAM Challenge, http://doi.org/10.7303/syn11423921, 19 November 2018 - 19 June 2018, http://dx.doi.org/10.7303/syn11423921

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

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; 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, BioCreative V.5 Challenge Evaluation Workshop,, Barcelona, Spain,, presented at BioCreative V.5 Challenge Evaluation Workshop,, Barcelona, Spain,, 26 April 2017 - 27 April 2017, http://www.biocreative.org/media/store/files/2017/BioCreative_V5_paper21.pdf

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, CLEF, CLEF

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

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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