Jitendra Jonnagaddala

Publication Activity (10 Years)

Years Active: 2014-2023
Publications (10 Years): 35

Top Topics

Electronic Health Records

Dependency Trees

Colorectal Cancer

Multiple Instance

Top Venues

Database J. Biol. Databases Curation

J. Biomed. Informatics

Publications

Min Cen, Xingyu Li, Bangwei Guo, Jitendra Jonnagaddala, Hong Zhang, Xu Steven Xu
Time to Embrace Natural Language Processing (NLP)-based Digital Pathology: Benchmarking NLP- and Convolutional Neural Network-based Deep Learning Pipelines. CoRR (2023)
Shagoofa Rakhshanda, Siaw-Teng Liaw, Joel Rhee, Kerry-Anne Rye, Jitendra Jonnagaddala
Strategies to Improve Statin Medication Adherence Among Patients at Risk of Cardiovascular Disease Identified Through Electronic Health Records: A Literature Review. MedInfo (2023)
Mifetika Lukitasari, Siaw-Teng Liaw, Bin Jalaludin, Jitendra Jonnagaddala
Visit-to-Visit Blood Pressure Variability in Cardiovascular Disease. MedInfo (2023)
Min Cen, Xingyu Li, Bangwei Guo, Jitendra Jonnagaddala, Hong Zhang, Xu Steven Xu
DPSeq: A Novel and Efficient Digital Pathology Classifier for Predicting Cancer Biomarkers using Sequencer Architecture. CoRR (2023)
David Susic, Shabbir Syed-Abdul, Erik Dovgan, Jitendra Jonnagaddala, Anton Gradisek
Artificial intelligence based personalized predictive survival among colorectal cancer patients. Comput. Methods Programs Biomed. 231 (2023)
Bangwei Guo, Jitendra Jonnagaddala, Hong Zhang, Xu Steven Xu
Predicting microsatellite instability and key biomarkers in colorectal cancer from H&E-stained images: Achieving SOTA with Less Data using Swin Transformer. CoRR (2022)
Xingyu Li, Jitendra Jonnagaddala, Min Cen, Hong Zhang, Xu Steven Xu
Colorectal cancer survival prediction using deep distribution based multiple-instance learning. CoRR (2022)
Xingyu Li, Jitendra Jonnagaddala, Min Cen, Hong Zhang, Xu Steven
Colorectal Cancer Survival Prediction Using Deep Distribution Based Multiple-Instance Learning. Entropy 24 (11) (2022)
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
Quality assessment of real-world data repositories across the data life cycle: A literature review. J. Am. Medical Informatics Assoc. 28 (7) (2021)
Xingyu Li, Jitendra Jonnagaddala, Shuhua Yang, Hong Zhang, Xu Steven Xu
A Retrospective Analysis using Deep-Learning Models for Prediction of Survival Outcome and Benefit of Adjuvant Chemotherapy in Stage II/III Colorectal Cancer. CoRR (2021)
Jitendra Jonnagaddala, Myron Anthony Godinho, Siaw-Teng Liaw
From telehealth to virtual primary care in Australia? A Rapid scoping review. Int. J. Medical Informatics 151 (2021)
Diana Barsasella, Srishti Gupta, Shwetambara Malwade, Aminin, Yanti Susanti, Budi Tirmadi, Agus Mutamakin, Jitendra Jonnagaddala, Shabbir Syed-Abdul
Predicting length of stay and mortality among hospitalized patients with type 2 diabetes mellitus and hypertension. Int. J. Medical Informatics 154 (2021)
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, E. 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
Crowdsourcing digital health measures to predict Parkinson's disease severity: the Parkinson's Disease Digital Biomarker DREAM Challenge. npj Digit. Medicine 4 (2021)
Jiawen Yao, Xinliang Zhu, Jitendra Jonnagaddala, Nicholas J. Hawkins, Junzhou Huang
Whole Slide Images based Cancer Survival Prediction using Attention Guided Deep Multiple Instance Learning Networks. CoRR (2020)
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
Characterizing database granularity using SNOMED-CT hierarchy. AMIA (2020)
Ashwin Raju, Jiawen Yao, Mohammad MinHazul Haq, Jitendra Jonnagaddala, Junzhou Huang
Graph Attention Multi-instance Learning for Accurate Colorectal Cancer Staging. MICCAI (5) (2020)
Hong-Jie Dai, Feng-Duo Wang, Chih-Wei Chen, Chu-Hsien Su, Chi-Shin Wu, Jitendra Jonnagaddala
Cohort selection for clinical trials using multiple instance learning. J. Biomed. Informatics 107 (2020)
Jiawen Yao, Xinliang Zhu, Jitendra Jonnagaddala, Nicholas J. Hawkins, Junzhou Huang
Whole slide images based cancer survival prediction using attention guided deep multiple instance learning networks. Medical Image Anal. 65 (2020)
Myron Anthony Godinho, Jitendra Jonnagaddala, Nachiket Gudi, Rubana Islam, Padmanesan Narasimhan, Siaw-Teng Liaw
mHealth for Integrated People-Centred Health Services in the Western Pacific: A Systematic Review. Int. J. Medical Informatics 142 (2020)
Aipeng Chen, Jitendra Jonnagaddala, Chandini Nekkantti, Siaw-Teng Liaw
Generation of Surrogates for De-Identification of Electronic Health Records. MedInfo (2019)
Kha Vo, Jitendra Jonnagaddala, Siaw-Teng Liaw
Statistical supervised meta-ensemble algorithm for medical record linkage. J. Biomed. Informatics 95 (2019)
Guan Nan Guo, Jitendra Jonnagaddala, Sanjay Farshid, Vojtech Huser, Christian G. Reich, Siaw-Teng Liaw
Comparison of the cohort selection performance of Australian Medicines Terminology to Anatomical Therapeutic Chemical mappings. J. Am. Medical Informatics Assoc. 26 (11) (2019)
Hong-Jie Dai, Chen-Kai Wang, Nai-Wen Chang, Ming-Siang Huang, Jitendra Jonnagaddala, Feng-Duo Wang, Wen-Lian Hsu
Statistical principle-based approach for recognizing and normalizing microRNAs described in scientific literature. Database J. Biol. Databases Curation 2019 (2019)
Harshana Liyanage, Siaw-Teng Liaw, Jitendra Jonnagaddala, William Hinton, Simon de Lusignan
Common Data Models (CDMs) to Enhance International Big Data Analytics: A Diabetes Use Case to Compare Three CDMs. EFMI-STC (2018)
Andon Tchechmedjiev, Amine Abdaoui, Vincent Emonet, Soumia Melzi, Jitendra Jonnagaddala, Clément Jonquet
Enhanced functionalities for annotating and indexing clinical text with the NCBO Annotator+. Bioinform. 34 (11) (2018)
Jitendra Jonnagaddala, Feiyan Hu
Automatic Coding of Death Certificates to ICD-10 Terminology. CLEF (Working Notes) (2017)
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
ZikaHack 2016: A digital disease detection competition. DDDSM@IJCNLP (2017)
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
Incorporating Dependency Trees Improve Identification of Pregnant Women on Social Media Platforms. DDDSM@IJCNLP (2017)
Jitendra Jonnagaddala, Toni Rose Jue, Nai-Wen Chang, Hong-Jie Dai
Improving the dictionary lookup approach for disease normalization using enhanced dictionary and query expansion. Database J. Biol. Databases Curation 2016 (2016)
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
MET network in PubMed: a text-mined network visualization and curation system. Database J. Biol. Databases Curation 2016 (2016)
Chen-Kai Wang, Hong-Jie Dai, Chih-Wei Chen, Jitendra Jonnagaddala, Nai-Wen Chang
Combining Multiple Classifiers Using Global Ranking for ReachOut.com Post Triage. CLPsych@HLT-NAACL (2016)
Jitendra Jonnagaddala, Joanne L. Croucher, Toni Rose Jue, Nicola S. Meagher, Lena Caruso, Robyn Ward, Nicholas J. Hawkins
Integration and Analysis of Heterogeneous Colorectal Cancer Data for Translational Research. Nursing Informatics (2016)
Hong-Jie Dai, Musa Touray, Jitendra Jonnagaddala, Syed Abdul Shabbir
Feature Engineering for Recognizing Adverse Drug Reactions from Twitter Posts. Inf. 7 (2) (2016)
Hong-Jie Dai, Onkar Singh, Jitendra Jonnagaddala, Emily Chia-Yu Su
NTTMUNSW BioC modules for recognizing and normalizing species and gene/protein mentions. Database J. Biol. Databases Curation 2016 (2016)
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
BioCreative V BioC track overview: collaborative biocurator assistant task for BioGRID. Database J. Biol. Databases Curation 2016 (2016)
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
Utilizing different word representation methods for twitter data in adverse drug reactions extraction. TAAI (2015)
Jitendra Jonnagaddala, Hong-Jie Dai, Pradeep Ray, Siaw-Teng Liaw
A preliminary study on automatic identification of patient smoking status in unstructured electronic health records. BioNLP@IJCNLP (2015)
Nai-Wen Chang, Hong-Jie Dai, Jitendra Jonnagaddala, Chih-Wei Chen, Richard Tzong-Han Tsai, Wen-Lian Hsu
A context-aware approach for progression tracking of medical concepts in electronic medical records. J. Biomed. Informatics 58 (2015)
Jitendra Jonnagaddala, Siaw-Teng Liaw, Pradeep Kumar Ray, Manish Kumar, Hong-Jie Dai
TMUNSW: Identification of Disorders and Normalization to SNOMED-CT Terminology in Unstructured Clinical Notes. SemEval@NAACL-HLT (2015)
Jitendra Jonnagaddala, Siaw-Teng Liaw, Pradeep Ray
Impact of data quality assessment on development of clinical predictive models. MedInfo (2015)
Jitendra Jonnagaddala, Siaw-Teng Liaw, Pradeep Ray, Manish Kumar, Nai-Wen Chang, Hong-Jie Dai
Coronary artery disease risk assessment from unstructured electronic health records using text mining. J. Biomed. Informatics 58 (2015)
Jitendra Jonnagaddala, Manish Kumar, Hong-Jie Dai, Enny Rachmani, Chien-Yeh Hsu
TMUNSW: Disorder Concept Recognition and Normalization in Clinical Notes for SemEval-2014 Task 7. SemEval@COLING (2014)
Jitendra Jonnagaddala, Siaw-Teng Liaw, Pradeep Ray, Manish Kumar, Hong-Jie Dai
HTNSystem: Hypertension Information Extraction System for Unstructured Clinical Notes. TAAI (2014)