Jitendra Jonnagaddala

55 papers Misc 1Journal 30Unranked 22

Year	Rank	Type	Title / Venue / Authors
2025	—	`conf`	Early Detection of Acute Coronary Syndrome Using a Mobile Digital Health Application. MedInfo Mifetika Lukitasari, Allen Lamarca Nazareno, Mohammad Saifur Rohman, Jitendra Jonnagaddala
2025	J	`jnl`	Leveraging large language models for the deidentification and temporal normalization of sensitive health information in electronic health records. npj Digit. Medicine Hong-Jie Dai, Tatheer Hussain Mir, Ching-Tai Chen, Chien-Chang Chen, Hao-Ping Yang, Chung-Hong Lee, Yi-Yun Chou, Yu-Chin Teng, Shalini Gupta, Omkar Panchal, Divyabharathy Ramesh Nadar, Wei-Hsiang Liao, Yu-Chuan Lin, Zi-Rui Zhao, Richard Tzong-Han Tsai, Yung-Chun Chang, Jitendra Jonnagaddala
2025	J	`jnl`	Multimodal analysis of whole slide images in colorectal cancer. npj Digit. Medicine Jitendra Jonnagaddala, Miljana Shulajkovska, Anton Gradisek, Toni Rose Jue, Qifeng Zhou, Yuzhi Guo, Jamil Mahmoud El Chayeb, Ruijiang Li, Jana Lipková, Jakob Nikolas Kather, Junzhou Huang
2025	J	`jnl`	Privacy preserving strategies for electronic health records in the era of large language models. npj Digit. Medicine Jitendra Jonnagaddala, Zoie Shui-Yee Wong
2025	J	`jnl`	Situating governance and regulatory concerns for generative artificial intelligence and large language models in medical education. npj Digit. Medicine 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
2025	—	`conf`	Stigma and Feeling of Burden Among Caregivers of Individuals with Mental Illness. MedInfo Shagoofa Rakhshanda, Saidur Rahman Mashreky, Jitendra Jonnagaddala
2024	—	`conf`	Approaches for Evaluating Visit-to-Visit Blood Pressure Variability as a Cardiovascular Disease Risk Factor: A Scoping Review. MIE Mifetika Lukitasari, Jitendra Jonnagaddala, Siaw-Teng Liaw, Bin Jalaludin
2024	—	`conf`	Association Between Visit to Visit Blood Pressure Variability and Cardiovascular Outcome: A Meta-Analysis. Nursing Informatics Mifetika Lukitasari, Jitendra Jonnagaddala, Siaw-Teng Liaw, Bin Jalaludin
2024	—	`conf`	Preliminary Evaluation of Fine-Tuning the OpenDeLD Deidentification Pipeline Across Multi-Center Corpora. MIE Jiaxing Liu, Zoie Shui-Yee Wong, Jitendra Jonnagaddala
2024	—	`conf`	Strategies to Address Statin Medication Intolerance Among Patients at Risk of Cardiovascular Disease Identified Through Electronic Health Records: A Literature Review and Pooled Analysis. MIE Shagoofa Rakhshanda, Siaw-Teng Liaw, Joel Rhee, Kerry-Anne Rye, Jitendra Jonnagaddala
2023	J	`jnl`	Artificial intelligence based personalized predictive survival among colorectal cancer patients. Comput. Methods Programs Biomed. David Susic, Shabbir Syed-Abdul, Erik Dovgan, Jitendra Jonnagaddala, Anton Gradisek
2023	J	`jnl`	DPSeq: A Novel and Efficient Digital Pathology Classifier for Predicting Cancer Biomarkers using Sequencer Architecture. CoRR Min Cen, Xingyu Li, Bangwei Guo, Jitendra Jonnagaddala, Hong Zhang, Xu Steven Xu
2023	—	`conf`	Strategies to Improve Statin Medication Adherence Among Patients at Risk of Cardiovascular Disease Identified Through Electronic Health Records: A Literature Review. MedInfo Shagoofa Rakhshanda, Siaw-Teng Liaw, Joel Rhee, Kerry-Anne Rye, Jitendra Jonnagaddala
2023	J	`jnl`	Time to Embrace Natural Language Processing (NLP)-based Digital Pathology: Benchmarking NLP- and Convolutional Neural Network-based Deep Learning Pipelines. CoRR Min Cen, Xingyu Li, Bangwei Guo, Jitendra Jonnagaddala, Hong Zhang, Xu Steven Xu
2023	—	`conf`	Visit-to-Visit Blood Pressure Variability in Cardiovascular Disease. MedInfo Mifetika Lukitasari, Siaw-Teng Liaw, Bin Jalaludin, Jitendra Jonnagaddala
2022	J	`jnl`	Colorectal Cancer Survival Prediction Using Deep Distribution Based Multiple-Instance Learning. Entropy Xingyu Li, Jitendra Jonnagaddala, Min Cen, Hong Zhang, Xu Steven
2022	J	`jnl`	Colorectal cancer survival prediction using deep distribution based multiple-instance learning. CoRR Xingyu Li, Jitendra Jonnagaddala, Min Cen, Hong Zhang, Xu Steven Xu
2022	J	`jnl`	Predicting microsatellite instability and key biomarkers in colorectal cancer from H&E-stained images: Achieving SOTA with Less Data using Swin Transformer. CoRR Bangwei Guo, Jitendra Jonnagaddala, Hong Zhang, Xu Steven Xu
2021	J	`jnl`	A Retrospective Analysis using Deep-Learning Models for Prediction of Survival Outcome and Benefit of Adjuvant Chemotherapy in Stage II/III Colorectal Cancer. CoRR Xingyu Li, Jitendra Jonnagaddala, Shuhua Yang, Hong Zhang, Xu Steven Xu
2021	J	`jnl`	Crowdsourcing digital health measures to predict Parkinson's disease severity: the Parkinson's Disease Digital Biomarker DREAM Challenge. npj Digit. Medicine 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, Elias Chaibub Neto, Earl Ray Dorsey, Zafer Aydin, Aipeng Chen, Laura L. Elo, Carlos Espino, Enrico Glaab, Ethan Goan, Fatemeh Noushin Golabchi, Yasin Görmez, Maria K. Jaakkola, Jitendra Jonnagaddala, Riku Klén, Dongmei Li, Christian McDaniel, Dimitri Perrin, Thanneer M. Perumal, Nastaran Mohammadian Rad, Erin Rainaldi, Stefano Sapienza, Patrick Schwab, Nikolai Shokhirev, Mikko S. Venäläinen, Gloria Vergara-Diaz, Yuqian Zhang, Avner G. S. Abrami, Aditya Adhikary, Carla Agurto, Sherry Bhalla, Halil Ibrahim Bilgin, Vittorio Caggiano, Jun Cheng, Eden Deng, Qiwei Gan, Rajan Girsa, Zhi Han, Stephen Heisig, Kun Huang, Samad Jahandideh, Wolfgang Kopp, Christoph F. Kurz, Gregor Lichtner, Raquel Norel, G. P. S. Raghava, Tavpritesh Sethi, Nicholas Shawen, Vaibhav Tripathi, Matthew Tsai, Tongxin Wang, Yi Wu, Jie Zhang, Xinyu Zhang, Yuanjia Wang, Yuanfang Guan, Daniela Brunner, Paolo Bonato, Lara M. Mangravite, Larsson Omberg
2021	J	`jnl`	From telehealth to virtual primary care in Australia? A Rapid scoping review. Int. J. Medical Informatics Jitendra Jonnagaddala, Myron Anthony Godinho, Siaw-Teng Liaw
2021	J	`jnl`	Predicting length of stay and mortality among hospitalized patients with type 2 diabetes mellitus and hypertension. Int. J. Medical Informatics Diana Barsasella, Srishti Gupta, Shwetambara Malwade, Aminin, Yanti Susanti, Budi Tirmadi, Agus Mutamakin, Jitendra Jonnagaddala, Shabbir Syed-Abdul
2021	J	`jnl`	Quality assessment of real-world data repositories across the data life cycle: A literature review. J. Am. Medical Informatics Assoc. 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, Michael G. Kahn
2020	Misc	`conf`	Characterizing database granularity using SNOMED-CT hierarchy. AMIA 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, Kristin Kostka, George Argyriou, Robert T. Miller, Andrew E. Williams, Evan Minty, José D. Posada, George Hripcsak
2020	J	`jnl`	Cohort selection for clinical trials using multiple instance learning. J. Biomed. Informatics Hong-Jie Dai, Feng-Duo Wang, Chih-Wei Chen, Chu-Hsien Su, Chi-Shin Wu, Jitendra Jonnagaddala
2020	—	`conf`	Graph Attention Multi-instance Learning for Accurate Colorectal Cancer Staging. MICCAI (5) Ashwin Raju, Jiawen Yao, Mohammad MinHazul Haq, Jitendra Jonnagaddala, Junzhou Huang
2020	J	`jnl`	Whole Slide Images based Cancer Survival Prediction using Attention Guided Deep Multiple Instance Learning Networks. CoRR Jiawen Yao, Xinliang Zhu, Jitendra Jonnagaddala, Nicholas J. Hawkins, Junzhou Huang
2020	J	`jnl`	Whole slide images based cancer survival prediction using attention guided deep multiple instance learning networks. Medical Image Anal. Jiawen Yao, Xinliang Zhu, Jitendra Jonnagaddala, Nicholas J. Hawkins, Junzhou Huang
2020	J	`jnl`	mHealth for Integrated People-Centred Health Services in the Western Pacific: A Systematic Review. Int. J. Medical Informatics Myron Anthony Godinho, Jitendra Jonnagaddala, Nachiket Gudi, Rubana Islam, Padmanesan Narasimhan, Siaw-Teng Liaw
2019	J	`jnl`	Comparison of the cohort selection performance of Australian Medicines Terminology to Anatomical Therapeutic Chemical mappings. J. Am. Medical Informatics Assoc. Guan Nan Guo, Jitendra Jonnagaddala, Sanjay Farshid, Vojtech Huser, Christian G. Reich, Siaw-Teng Liaw
2019	—	`conf`	Generation of Surrogates for De-Identification of Electronic Health Records. MedInfo Aipeng Chen, Jitendra Jonnagaddala, Chandini Nekkantti, Siaw-Teng Liaw
2019	J	`jnl`	Statistical principle-based approach for recognizing and normalizing microRNAs described in scientific literature. Database J. Biol. Databases Curation Hong-Jie Dai, Chen-Kai Wang, Nai-Wen Chang, Ming-Siang Huang, Jitendra Jonnagaddala, Feng-Duo Wang, Wen-Lian Hsu
2019	J	`jnl`	Statistical supervised meta-ensemble algorithm for medical record linkage. J. Biomed. Informatics Kha Vo, Jitendra Jonnagaddala, Siaw-Teng Liaw
2019	—	`ch.`	Translational Bioinformatics Databases. Encyclopedia of Bioinformatics and Computational Biology (2) Onkar Singh, Nai-Wen Chang, Hong-Jie Dai, Jitendra Jonnagaddala
2018	—	`conf`	Common Data Models (CDMs) to Enhance International Big Data Analytics: A Diabetes Use Case to Compare Three CDMs. EFMI-STC Harshana Liyanage, Siaw-Teng Liaw, Jitendra Jonnagaddala, William Hinton, Simon de Lusignan
2018	J	`jnl`	Enhanced functionalities for annotating and indexing clinical text with the NCBO Annotator+. Bioinform. Andon Tchechmedjiev, Amine Abdaoui, Vincent Emonet, Soumia Melzi, Jitendra Jonnagaddala, Clément Jonquet
2017	—	`conf`	Automatic Coding of Death Certificates to ICD-10 Terminology. CLEF (Working Notes) Jitendra Jonnagaddala, Feiyan Hu
2017	—	`conf`	Incorporating Dependency Trees Improve Identification of Pregnant Women on Social Media Platforms. DDDSM@IJCNLP 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
2017	—	`ed.`	Proceedings of the International Workshop on Digital Disease Detection using Social Media, DDDSM@IJCNLP 2017, Taipei, Taiwan, November 27, 2017 DDDSM@IJCNLP Jitendra Jonnagaddala, Hong-Jie Dai, Yung-Chun Chang
2017	—	`conf`	ZikaHack 2016: A digital disease detection competition. DDDSM@IJCNLP 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
2016	J	`jnl`	BioCreative V BioC track overview: collaborative biocurator assistant task for BioGRID. Database J. Biol. Databases Curation 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, José Luís Oliveira, Onkar Singh, Jitendra Jonnagaddala, Hong-Jie Dai, Emily Chia-Yu Su, Yung-Chun Chang, Yu-Chen Su, Chun-Han Chu, Chien Chin Chen, Wen-Lian Hsu, Yifan Peng, Cecilia N. Arighi, Cathy H. Wu, K. Vijay-Shanker, Ferhat Aydin, Zehra Melce Hüsünbeyi, Arzucan Özgür, Soo-Yong Shin, Dongseop Kwon, Kara Dolinski, Mike Tyers, W. John Wilbur, Donald C. Comeau
2016	—	`conf`	Combining Multiple Classifiers Using Global Ranking for ReachOut.com Post Triage. CLPsych@HLT-NAACL Chen-Kai Wang, Hong-Jie Dai, Chih-Wei Chen, Jitendra Jonnagaddala, Nai-Wen Chang
2016	J	`jnl`	Feature Engineering for Recognizing Adverse Drug Reactions from Twitter Posts. Inf. Hong-Jie Dai, Musa Touray, Jitendra Jonnagaddala, Syed Abdul Shabbir
2016	J	`jnl`	Improving the dictionary lookup approach for disease normalization using enhanced dictionary and query expansion. Database J. Biol. Databases Curation Jitendra Jonnagaddala, Toni Rose Jue, Nai-Wen Chang, Hong-Jie Dai
2016	—	`conf`	Integration and Analysis of Heterogeneous Colorectal Cancer Data for Translational Research. Nursing Informatics Jitendra Jonnagaddala, Joanne L. Croucher, Toni Rose Jue, Nicola S. Meagher, Lena Caruso, Robyn Ward, Nicholas J. Hawkins
2016	J	`jnl`	MET network in PubMed: a text-mined network visualization and curation system. Database J. Biol. Databases Curation 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
2016	J	`jnl`	NTTMUNSW BioC modules for recognizing and normalizing species and gene/protein mentions. Database J. Biol. Databases Curation Hong-Jie Dai, Onkar Singh, Jitendra Jonnagaddala, Emily Chia-Yu Su
2015	J	`jnl`	A context-aware approach for progression tracking of medical concepts in electronic medical records. J. Biomed. Informatics Nai-Wen Chang, Hong-Jie Dai, Jitendra Jonnagaddala, Chih-Wei Chen, Richard Tzong-Han Tsai, Wen-Lian Hsu
2015	—	`conf`	A preliminary study on automatic identification of patient smoking status in unstructured electronic health records. BioNLP@IJCNLP Jitendra Jonnagaddala, Hong-Jie Dai, Pradeep Ray, Siaw-Teng Liaw
2015	J	`jnl`	Coronary artery disease risk assessment from unstructured electronic health records using text mining. J. Biomed. Informatics Jitendra Jonnagaddala, Siaw-Teng Liaw, Pradeep Ray, Manish Kumar, Nai-Wen Chang, Hong-Jie Dai
2015	—	`conf`	Impact of data quality assessment on development of clinical predictive models. MedInfo Jitendra Jonnagaddala, Siaw-Teng Liaw, Pradeep Ray
2015	—	`conf`	TMUNSW: Identification of Disorders and Normalization to SNOMED-CT Terminology in Unstructured Clinical Notes. SemEval@NAACL-HLT Jitendra Jonnagaddala, Siaw-Teng Liaw, Pradeep Kumar Ray, Manish Kumar, Hong-Jie Dai
2015	—	`conf`	Utilizing different word representation methods for twitter data in adverse drug reactions extraction. TAAI 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
2014	—	`conf`	HTNSystem: Hypertension Information Extraction System for Unstructured Clinical Notes. TAAI Jitendra Jonnagaddala, Siaw-Teng Liaw, Pradeep Ray, Manish Kumar, Hong-Jie Dai
2014	—	`conf`	TMUNSW: Disorder Concept Recognition and Normalization in Clinical Notes for SemEval-2014 Task 7. SemEval@COLING Jitendra Jonnagaddala, Manish Kumar, Hong-Jie Dai, Enny Rachmani, Chien-Yeh Hsu