Identifying scientific artefacts in biomedical literature: The Evidence Based Medicine use case H Hassanzadeh, T Groza, J Hunter Journal of biomedical informatics, 2014 | 39 | 2014 |
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 | 33 | 2017 |
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 | 30 | 2010 |
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 | 24 | 2011 |
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 | 15 | 2018 |
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 | 13 | 2013 |
Recognizing Scientific Artifacts in Biomedical Literature T Groza, H Hassanzadeh, J Hunter Biomedical informatics insights 6, 15, 2013 | 12 | 2013 |
Evaluation of Medical Concept Annotation Systems on Clinical Records H Hassanzadeh, A Nguyen, B Koopman Australasian Language Technology Association Workshop 2016, 15, 2016 | 11 | 2016 |
Semantic web requirements through web mining techniques H Hassanzadeh, MR Keyvanpour International Journal of Computer Theory and Engineering 4 (4), 616-620, 2012 | 10 | 2012 |
A Variance Based Active Learning Approach for Named Entity Recognition H Hassanzadeh, MR Keyvanpour Intelligent computing and information science, 347-352, 2011 | 10 | 2011 |
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 | 9 | 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 | 8 | 2018 |
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 | 8 | 2014 |
Clinical Document Classification Using Labeled and Unlabeled Data Across Hospitals H Hassanzadeh, M Kholghi, A Nguyen, K Chu AMIA 2018 Annual Symposium, 2018 | 7 | 2018 |
UQeResearch: Semantic Textual Similarity Quantification H Hassanzadeh, T Groza, A Nguyen, J Hunter Proceedings of the 9th International Workshop on Semantic Evaluation …, 2015 | 6 | 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 | 6 | 2009 |
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 | 5 | 2019 |
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 | 5 | 2015 |
Clinical Information Extraction Using Word Representations S Malmasi, H Hassanzadeh, M Dras Proceedings of the 13th Australasian Language Technology Association …, 2015 | 4 | 2015 |
Matching patients to clinical trials using semantically enriched document representation H Hassanzadeh, S Karimi, A Nguyen Journal of biomedical informatics 105, 103406, 2020 | 3 | 2020 |