TMUNSW: Disorder Concept Recognition and Normalization in Clinical Notes for SemEval-2014 Task 7. - Jitendra Jonnagaddala; Manish Kumar; Hong-Jie Dai; Enny Rachmani; Chien-Yeh Hsu (SemEval@COLING, 2014)

HTNSystem: Hypertension Information Extraction System for Unstructured Clinical Notes. - Jitendra Jonnagaddala; Siaw-Teng Liaw; Pradeep Ray; Manish Kumar; Hong-Jie Dai (TAAI, 2014)

A preliminary study on automatic identification of patient smoking status in unstructured electronic health records. - Jitendra Jonnagaddala; Hong-Jie Dai; Pradeep Ray; Siaw-Teng Liaw (BioNLP@IJCNLP, 2015)

Impact of data quality assessment on development of clinical predictive models. - Jitendra Jonnagaddala; Siaw-Teng Liaw; Pradeep Ray (MedInfo, 2015)

TMUNSW: Identification of Disorders and Normalization to SNOMED-CT Terminology in Unstructured Clinical Notes. - Jitendra Jonnagaddala; Siaw-Teng Liaw; Pradeep Kumar Ray; Manish Kumar; Hong-Jie Dai (SemEval@NAACL-HLT, 2015)

Utilizing different word representation methods for twitter data in adverse drug reactions extraction. - Josan Wei-San Lin; Hong-Jie Dai; Jitendra Jonnagaddala; Nai-Wun Chang; Toni Rose Jue; Usman Iqbal; Joni Yu-Hsuan Shao; I-Jen Chiang; Yu-Chuan Li (TAAI, 2015)

A context-aware approach for progression tracking of medical concepts in electronic medical records. - Nai-Wen Chang 001; Hong-Jie Dai; Jitendra Jonnagaddala; Chih-Wei Chen; Richard Tzong-Han Tsai; Wen-Lian Hsu (J. Biomed. Informatics, 2015)

Coronary artery disease risk assessment from unstructured electronic health records using text mining. - Jitendra Jonnagaddala; Siaw-Teng Liaw; Pradeep Ray; Manish Kumar; Nai-Wen Chang 001; Hong-Jie Dai (J. Biomed. Informatics, 2015)

Combining Multiple Classifiers Using Global Ranking for ReachOut.com Post Triage. - Chen-Kai Wang; Hong-Jie Dai; Chih-Wei Chen; Jitendra Jonnagaddala; Nai-Wen Chang 001 (CLPsych@HLT-NAACL, 2016)

Integration and Analysis of Heterogeneous Colorectal Cancer Data for Translational Research. - Jitendra Jonnagaddala; Joanne L. Croucher; Toni Rose Jue; Nicola S. Meagher; Lena Caruso; Robyn Ward; Nicholas J. Hawkins (Nursing Informatics, 2016)

NTTMUNSW BioC modules for recognizing and normalizing species and gene/protein mentions. - Hong-Jie Dai; Onkar Singh; Jitendra Jonnagaddala; Emily Chia-Yu Su (Database J. Biol. Databases Curation, 2016)

MET network in PubMed: a text-mined network visualization and curation system. - Hong-Jie Dai; Chu-Hsien Su; Po-Ting Lai; Ming-Siang Huang; Jitendra Jonnagaddala; Toni Rose Jue; Shruti Rao; Hui-Jou Chou; Marija Milacic; Onkar Singh; Syed Abdul Shabbir; Wen-Lian Hsu (Database J. Biol. Databases Curation, 2016)

Improving the dictionary lookup approach for disease normalization using enhanced dictionary and query expansion. - Jitendra Jonnagaddala; Toni Rose Jue; Nai-Wen Chang 001; Hong-Jie Dai (Database J. Biol. Databases Curation, 2016)

BioCreative V BioC track overview: collaborative biocurator assistant task for BioGRID. - Sun Kim; Rezarta Islamaj Dogan; Andrew Chatr-aryamontri; Christie S. Chang; Rose Oughtred; Jennifer M. Rust; Riza Batista-Navarro; Jacob Carter; Sophia Ananiadou; Sérgio Matos; André Santos; David Campos 001; et al. (Database J. Biol. Databases Curation, 2016)

Feature Engineering for Recognizing Adverse Drug Reactions from Twitter Posts. - Hong-Jie Dai; Musa Touray; Jitendra Jonnagaddala; Syed Abdul Shabbir (Inf., 2016)

Automatic Coding of Death Certificates to ICD-10 Terminology. - Jitendra Jonnagaddala; Feiyan Hu (CLEF (Working Notes), 2017)

ZikaHack 2016: A digital disease detection competition. - Dillon C. Adam; Jitendra Jonnagaddala; Daniel Han-Chen; Sean Batongbacal; Luan Almeida; Jing Z. Zhu; Jenny J. Yang; Jumail M. Mundekkat; Steven Badman; Abrar Chughtai; C. Raina MacIntyre (DDDSM@IJCNLP, 2017)

Incorporating Dependency Trees Improve Identification of Pregnant Women on Social Media Platforms. - Yi-Jie Huang; Chu-Hsien Su; Yi-Chun Chang; Tseng-Hsin Ting; Tzu-Yuan Fu; Rou-Min Wang; Hong-Jie Dai; Yung-Chun Chang; Jitendra Jonnagaddala; Wen-Lian Hsu (DDDSM@IJCNLP, 2017)

Common Data Models (CDMs) to Enhance International Big Data Analytics: A Diabetes Use Case to Compare Three CDMs. - Harshana Liyanage; Siaw-Teng Liaw; Jitendra Jonnagaddala; William Hinton; Simon de Lusignan (EFMI-STC, 2018)

Enhanced functionalities for annotating and indexing clinical text with the NCBO Annotator+. - Andon Tchechmedjiev; Amine Abdaoui; Vincent Emonet; Soumia Melzi; Jitendra Jonnagaddala; Clément Jonquet (Bioinform., 2018)

Generation of Surrogates for De-Identification of Electronic Health Records. - Aipeng Chen; Jitendra Jonnagaddala; Chandini Nekkantti; Siaw-Teng Liaw (MedInfo, 2019)

Statistical principle-based approach for recognizing and normalizing microRNAs described in scientific literature. - Hong-Jie Dai; Chen-Kai Wang; Nai-Wen Chang 001; Ming-Siang Huang; Jitendra Jonnagaddala; Feng-Duo Wang; Wen-Lian Hsu (Database J. Biol. Databases Curation, 2019)

Comparison of the cohort selection performance of Australian Medicines Terminology to Anatomical Therapeutic Chemical mappings. - Guan Nan Guo; Jitendra Jonnagaddala; Sanjay Farshid; Vojtech Huser; Christian G. Reich; Siaw-Teng Liaw (J. Am. Medical Informatics Assoc., 2019)

Statistical supervised meta-ensemble algorithm for medical record linkage. - Kha Vo; Jitendra Jonnagaddala; Siaw-Teng Liaw (J. Biomed. Informatics, 2019)

Translational Bioinformatics Databases. - Onkar Singh; Nai-Wen Chang 001; Hong-Jie Dai; Jitendra Jonnagaddala (Encyclopedia of Bioinformatics and Computational Biology (2), 2019)

Characterizing database granularity using SNOMED-CT hierarchy. - Anna Ostropolets; Christian G. Reich; Patrick B. Ryan; Chunhua Weng; Anthony Molinaro; Frank J. DeFalco; Jitendra Jonnagaddala; Siaw-Teng Liaw; Hokyun Jeon; Rae Woong Park; Matthew E. Spotnitz; Karthik Natarajan; et al. (AMIA, 2020)

Graph Attention Multi-instance Learning for Accurate Colorectal Cancer Staging. - Ashwin Raju; Jiawen Yao; Mohammad MinHazul Haq; Jitendra Jonnagaddala; Junzhou Huang (MICCAI (5), 2020)

mHealth for Integrated People-Centred Health Services in the Western Pacific: A Systematic Review. - Myron Anthony Godinho; Jitendra Jonnagaddala; Nachiket Gudi; Rubana Islam; Padmanesan Narasimhan; Siaw-Teng Liaw (Int. J. Medical Informatics, 2020)

Cohort selection for clinical trials using multiple instance learning. - Hong-Jie Dai; Feng-Duo Wang; Chih-Wei Chen; Chu-Hsien Su; Chi-Shin Wu; Jitendra Jonnagaddala (J. Biomed. Informatics, 2020)

Whole slide images based cancer survival prediction using attention guided deep multiple instance learning networks. - Jiawen Yao; Xinliang Zhu; Jitendra Jonnagaddala; Nicholas J. Hawkins; Junzhou Huang (Medical Image Anal., 2020)

A Retrospective Analysis using Deep-Learning Models for Prediction of Survival Outcome and Benefit of Adjuvant Chemotherapy in Stage II/III Colorectal Cancer. - Xingyu Li; Jitendra Jonnagaddala; Shuhua Yang; Hong Zhang 037; Xu Steven Xu (CoRR, 2021)

Predicting length of stay and mortality among hospitalized patients with type 2 diabetes mellitus and hypertension. - Diana Barsasella; Srishti Gupta 005; Shwetambara Malwade; Aminin; Yanti Susanti; Budi Tirmadi; Agus Mutamakin; Jitendra Jonnagaddala; Shabbir Syed-Abdul (Int. J. Medical Informatics, 2021)

From telehealth to virtual primary care in Australia? A Rapid scoping review. - Jitendra Jonnagaddala; Myron Anthony Godinho; Siaw-Teng Liaw (Int. J. Medical Informatics, 2021)

Quality assessment of real-world data repositories across the data life cycle: A literature review. - Siaw-Teng Liaw; Jason Guan Nan Guo; Sameera Ansari; Jitendra Jonnagaddala; Myron Anthony Godinho; Alder Jose Borelli; Simon de Lusignan; Daniel Capurro; Harshana Liyanage; Navreet Bhattal; Vicki Bennett; Jaclyn Chan; et al. (J. Am. Medical Informatics Assoc., 2021)

Crowdsourcing digital health measures to predict Parkinson's disease severity: the Parkinson's Disease Digital Biomarker DREAM Challenge. - Solveig K. Sieberts; Jennifer Schaff; Marlena Duda; Bálint Á Pataki; Ming Sun; Phil Snyder; Jean-Francois Daneault; Federico Parisi; Gianluca Costante; Udi Rubin; Peter Banda; Yooree Chae; et al. (npj Digit. Medicine, 2021)

Predicting microsatellite instability and key biomarkers in colorectal cancer from H&E-stained images: Achieving SOTA with Less Data using Swin Transformer. - Bangwei Guo; Jitendra Jonnagaddala; Hong Zhang 037; Xu Steven Xu (CoRR, 2022)

Colorectal Cancer Survival Prediction Using Deep Distribution Based Multiple-Instance Learning. - Xingyu Li; Jitendra Jonnagaddala; Min Cen; Hong Zhang 037; Xu Steven 001 (Entropy, 2022)

Visit-to-Visit Blood Pressure Variability in Cardiovascular Disease. - Mifetika Lukitasari; Siaw-Teng Liaw; Bin Jalaludin; Jitendra Jonnagaddala (MedInfo, 2023)

Strategies to Improve Statin Medication Adherence Among Patients at Risk of Cardiovascular Disease Identified Through Electronic Health Records: A Literature Review. - Shagoofa Rakhshanda; Siaw-Teng Liaw; Joel Rhee; Kerry-Anne Rye; Jitendra Jonnagaddala (MedInfo, 2023)

Time to Embrace Natural Language Processing (NLP)-based Digital Pathology: Benchmarking NLP- and Convolutional Neural Network-based Deep Learning Pipelines. - Min Cen; Xingyu Li; Bangwei Guo; Jitendra Jonnagaddala; Hong Zhang 037; Xu Steven Xu (CoRR, 2023)

DPSeq: A Novel and Efficient Digital Pathology Classifier for Predicting Cancer Biomarkers using Sequencer Architecture. - Min Cen; Xingyu Li; Bangwei Guo; Jitendra Jonnagaddala; Hong Zhang 037; Xu Steven Xu (CoRR, 2023)

Artificial intelligence based personalized predictive survival among colorectal cancer patients. - David Susic; Shabbir Syed-Abdul; Erik Dovgan; Jitendra Jonnagaddala; Anton Gradisek (Comput. Methods Programs Biomed., 2023)

Preliminary Evaluation of Fine-Tuning the OpenDeLD Deidentification Pipeline Across Multi-Center Corpora. - Jiaxing Liu; Zoie Shui-Yee Wong; Jitendra Jonnagaddala (MIE, 2024)

Approaches for Evaluating Visit-to-Visit Blood Pressure Variability as a Cardiovascular Disease Risk Factor: A Scoping Review. - Mifetika Lukitasari; Jitendra Jonnagaddala; Siaw-Teng Liaw; Bin Jalaludin (MIE, 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. - Shagoofa Rakhshanda; Siaw-Teng Liaw; Joel Rhee; Kerry-Anne Rye; Jitendra Jonnagaddala (MIE, 2024)

Association Between Visit to Visit Blood Pressure Variability and Cardiovascular Outcome: A Meta-Analysis. - Mifetika Lukitasari; Jitendra Jonnagaddala; Siaw-Teng Liaw; Bin Jalaludin (Nursing Informatics, 2024)

Privacy preserving strategies for electronic health records in the era of large language models. - Jitendra Jonnagaddala; Zoie Shui-Yee Wong (npj Digit. Medicine, 2025)

Situating governance and regulatory concerns for generative artificial intelligence and large language models in medical education. - Michael Tran; Chinthaka Balasooriya; Jitendra Jonnagaddala; Gilberto Ka-Kit Leung; Neeraj Mahboobani; Subha Ramani; Joel Rhee; Lambert Schuwirth; Neysan Sedaghat Najafzadeh-Tabrizi; Carolyn Semmler; Zoie Sy Wong (npj Digit. Medicine, 2025)