Jitendra Jonnagaddala

Orcid: 0000-0002-9912-2344

According to our database1, Jitendra Jonnagaddala authored at least 42 papers between 2014 and 2023.

Collaborative distances:



In proceedings 
PhD thesis 


On csauthors.net:


Artificial intelligence based personalized predictive survival among colorectal cancer patients.
Comput. Methods Programs Biomed., April, 2023

DPSeq: A Novel and Efficient Digital Pathology Classifier for Predicting Cancer Biomarkers using Sequencer Architecture.
CoRR, 2023

Time to Embrace Natural Language Processing (NLP)-based Digital Pathology: Benchmarking NLP- and Convolutional Neural Network-based Deep Learning Pipelines.
CoRR, 2023

Strategies to Improve Statin Medication Adherence Among Patients at Risk of Cardiovascular Disease Identified Through Electronic Health Records: A Literature Review.
Proceedings of the MEDINFO 2023 - The Future Is Accessible, 2023

Visit-to-Visit Blood Pressure Variability in Cardiovascular Disease.
Proceedings of the MEDINFO 2023 - The Future Is Accessible, 2023

Colorectal Cancer Survival Prediction Using Deep Distribution Based Multiple-Instance Learning.
Entropy, November, 2022

Predicting microsatellite instability and key biomarkers in colorectal cancer from H&E-stained images: Achieving SOTA with Less Data using Swin Transformer.
CoRR, 2022

Crowdsourcing digital health measures to predict Parkinson's disease severity: the Parkinson's Disease Digital Biomarker DREAM Challenge.
npj Digit. Medicine, 2021

Quality assessment of real-world data repositories across the data life cycle: A literature review.
J. Am. Medical Informatics Assoc., 2021

From telehealth to virtual primary care in Australia? A Rapid scoping review.
Int. J. Medical Informatics, 2021

Predicting length of stay and mortality among hospitalized patients with type 2 diabetes mellitus and hypertension.
Int. J. Medical Informatics, 2021

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

Whole slide images based cancer survival prediction using attention guided deep multiple instance learning networks.
Medical Image Anal., 2020

Cohort selection for clinical trials using multiple instance learning.
J. Biomed. Informatics, 2020

mHealth for Integrated People-Centred Health Services in the Western Pacific: A Systematic Review.
Int. J. Medical Informatics, 2020

Graph Attention Multi-instance Learning for Accurate Colorectal Cancer Staging.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2020, 2020

Translational Bioinformatics Databases.
Proceedings of the Encyclopedia of Bioinformatics and Computational Biology - Volume 2, 2019

Statistical supervised meta-ensemble algorithm for medical record linkage.
J. Biomed. Informatics, 2019

Comparison of the cohort selection performance of Australian Medicines Terminology to Anatomical Therapeutic Chemical mappings.
J. Am. Medical Informatics Assoc., 2019

Statistical principle-based approach for recognizing and normalizing microRNAs described in scientific literature.
Database J. Biol. Databases Curation, 2019

Generation of Surrogates for De-Identification of Electronic Health Records.
Proceedings of the MEDINFO 2019: Health and Wellbeing e-Networks for All, 2019

Enhanced functionalities for annotating and indexing clinical text with the NCBO Annotator+.
Bioinform., 2018

Common Data Models (CDMs) to Enhance International Big Data Analytics: A Diabetes Use Case to Compare Three CDMs.
Proceedings of the Decision Support Systems and Education, 2018

Incorporating Dependency Trees Improve Identification of Pregnant Women on Social Media Platforms.
Proceedings of the International Workshop on Digital Disease Detection using Social Media, 2017

ZikaHack 2016: A digital disease detection competition.
Proceedings of the International Workshop on Digital Disease Detection using Social Media, 2017

Automatic Coding of Death Certificates to ICD-10 Terminology.
Proceedings of the Working Notes of CLEF 2017, 2017

Feature Engineering for Recognizing Adverse Drug Reactions from Twitter Posts.
Inf., 2016

BioCreative V BioC track overview: collaborative biocurator assistant task for BioGRID.
Database J. Biol. Databases Curation, 2016

Improving the dictionary lookup approach for disease normalization using enhanced dictionary and query expansion.
Database J. Biol. Databases Curation, 2016

MET network in PubMed: a text-mined network visualization and curation system.
Database J. Biol. Databases Curation, 2016

NTTMUNSW BioC modules for recognizing and normalizing species and gene/protein mentions.
Database J. Biol. Databases Curation, 2016

Integration and Analysis of Heterogeneous Colorectal Cancer Data for Translational Research.
Proceedings of the Nursing Informatics 2016 - eHealth for All: Every Level Collaboration, 2016

Combining Multiple Classifiers Using Global Ranking for ReachOut.com Post Triage.
Proceedings of the 3rd Workshop on Computational Linguistics and Clinical Psychology: From Linguistic Signal to Clinical Reality, 2016

Coronary artery disease risk assessment from unstructured electronic health records using text mining.
J. Biomed. Informatics, 2015

A context-aware approach for progression tracking of medical concepts in electronic medical records.
J. Biomed. Informatics, 2015

Utilizing different word representation methods for twitter data in adverse drug reactions extraction.
Proceedings of the Conference on Technologies and Applications of Artificial Intelligence, 2015

TMUNSW: Identification of Disorders and Normalization to SNOMED-CT Terminology in Unstructured Clinical Notes.
Proceedings of the 9th International Workshop on Semantic Evaluation, 2015

Impact of data quality assessment on development of clinical predictive models.
Proceedings of the MEDINFO 2015: eHealth-enabled Health, 2015

A preliminary study on automatic identification of patient smoking status in unstructured electronic health records.
Proceedings of the Workshop on Biomedical Natural Language Processing, BioNLP@IJCNLP 2015, 2015

HTNSystem: Hypertension Information Extraction System for Unstructured Clinical Notes.
Proceedings of the Technologies and Applications of Artificial Intelligence, 2014

TMUNSW: Disorder Concept Recognition and Normalization in Clinical Notes for SemEval-2014 Task 7.
Proceedings of the 8th International Workshop on Semantic Evaluation, 2014