Jitendra Jonnagaddala
Orcid: 0000-0002-9912-2344
According to our database1,
Jitendra Jonnagaddala
authored at least 46 papers
between 2014 and 2024.
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Bibliography
2024
Association Between Visit to Visit Blood Pressure Variability and Cardiovascular Outcome: A Meta-Analysis.
Proceedings of the Innovation in Applied Nursing Informatics, 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.
Proceedings of the Digital Health and Informatics Innovations for Sustainable Health Care Systems, 2024
Approaches for Evaluating Visit-to-Visit Blood Pressure Variability as a Cardiovascular Disease Risk Factor: A Scoping Review.
Proceedings of the Digital Health and Informatics Innovations for Sustainable Health Care Systems, 2024
Preliminary Evaluation of Fine-Tuning the OpenDeLD Deidentification Pipeline Across Multi-Center Corpora.
Proceedings of the Digital Health and Informatics Innovations for Sustainable Health Care Systems, 2024
2023
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
Proceedings of the MEDINFO 2023 - The Future Is Accessible, 2023
2022
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
2021
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
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
2020
Whole slide images based cancer survival prediction using attention guided deep multiple instance learning networks.
Medical Image Anal., 2020
J. Biomed. Informatics, 2020
mHealth for Integrated People-Centred Health Services in the Western Pacific: A Systematic Review.
Int. J. Medical Informatics, 2020
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2020, 2020
Proceedings of the AMIA 2020, 2020
2019
Proceedings of the Encyclopedia of Bioinformatics and Computational Biology - Volume 2, 2019
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
Proceedings of the MEDINFO 2019: Health and Wellbeing e-Networks for All, 2019
2018
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
2017
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
Proceedings of the International Workshop on Digital Disease Detection using Social Media, 2017
Proceedings of the Working Notes of CLEF 2017, 2017
2016
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
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
Proceedings of the 3rd Workshop on Computational Linguistics and Clinical Psychology: From Linguistic Signal to Clinical Reality, 2016
2015
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
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
2014
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