Hamed Hassanzadeh
Hamed Hassanzadeh
Australian e-Health Research Centre, CSIRO
Bestätigte E-Mail-Adresse bei
Zitiert von
Zitiert von
Automatic diagnosis coding of radiology reports: a comparison of deep learning and conventional classification methods
S Karimi, X Dai, H Hassanzadeh, A Nguyen
BioNLP 2017, 328-332, 2017
Identifying scientific artefacts in biomedical literature: The Evidence Based Medicine use case
H Hassanzadeh, T Groza, J Hunter
Journal of biomedical informatics, 2014
A Machine Learning Based Analytical Framework for Semantic Annotation Requirements
H Hassanzadeh, MR Keyvanpour
International Journal of Web & Semantic Technology (IJWesT) 2 (2), 27-38, 2011
Classification and evaluation of data mining techniques for data stream requirements
M Kholghi, H Hassanzadeh, MR Keyvanpour
Computer Communication Control and Automation (3CA), 2010 International …, 2010
Computer-Assisted Diagnosis Coding: Effectiveness of an NLP-based approach using SNOMED CT to ICD-10 mappings
A Nguyen, D Truran, M Kemp, B Koopman, D Conlan, J O’Dwyer, ...
AMIA Annual Symposium 2018, 2018
Transferability of Artificial Neural Networks for Clinical Document Classification Across Hospitals: A Case Study on Abnormality Detection from Radiology Reports
H Hassanzadeh, A Nguyen, S Karimi, K Chu
Journal of Biomedical Informatics, 2018
Identifying risk factors for heart disease in electronic medical records: A deep learning approach
T Chokwijitkul, A Nguyen, H Hassanzadeh, S Perez
Proceedings of the BioNLP 2018 workshop, 18-27, 2018
Clinical Document Classification Using Labeled and Unlabeled Data Across Hospitals
H Hassanzadeh, M Kholghi, A Nguyen, K Chu
AMIA 2018 Annual Symposium, 2018
Recognizing Scientific Artifacts in Biomedical Literature
T Groza, H Hassanzadeh, J Hunter
Biomedical informatics insights 6, 15, 2013
A two-phase hybrid of semi-supervised and active learning approach for sequence labeling
H Hassanzadeh, M Keyvanpour
Intelligent Data Analysis 17 (2), 251-270, 2013
Matching patients to clinical trials using semantically enriched document representation
H Hassanzadeh, S Karimi, A Nguyen
Journal of biomedical informatics 105, 103406, 2020
Evaluation of Medical Concept Annotation Systems on Clinical Records
H Hassanzadeh, A Nguyen, B Koopman
Australasian Language Technology Association Workshop 2016, 15, 2016
Semantic web requirements through web mining techniques
H Hassanzadeh, MR Keyvanpour
International Journal of Computer Theory and Engineering 4 (4), 616-620, 2012
Load Balancing for Imbalanced Data Sets: Classifying Scientific Artefacts for Evidence Based Medicine
H Hassanzadeh, T Groza, A Nguyen, J Hunter
PRICAI 2014: Trends in Artificial Intelligence, 972-984, 2014
A Supervised Approach to Quantifying Sentence Similarity: With Application to Evidence Based Medicine
H Hassanzadeh, T Groza, A Nguyen, J Hunter
PLOS ONE 10 (6), 2015
A Variance Based Active Learning Approach for Named Entity Recognition
H Hassanzadeh, MR Keyvanpour
Intelligent computing and information science, 347-352, 2011
Quantifying semantic similarity of clinical evidence in the biomedical literature to facilitate related evidence synthesis
H Hassanzadeh, A Nguyen, K Verspoor
Journal of Biomedical Informatics 100, 103321, 2019
Multidisciplinary Smartphone-Based Interventions to Empower Patients With Acute Coronary Syndromes: Qualitative Study on Health Care Providers’ Perspectives
N Bashi, H Hassanzadeh, M Varnfield, Y Wee, D Walters, M Karunanithi
JMIR Cardio 2 (2), 2018
UQeResearch: Semantic Textual Similarity Quantification
H Hassanzadeh, T Groza, A Nguyen, J Hunter
Proceedings of the 9th International Workshop on Semantic Evaluation …, 2015
Comparative Classification of Semantic Web Challenges and Data Mining Techniques
MR Keyvanpour, H Hassanzadeh, BM Khoshroo
Web Information Systems and Mining, 2009. WISM 2009. International …, 2009
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