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Son Doan
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2020 – today
- 2023
- [i11]Manabu Torii, Ian M. Finn, Son Doan, Paul Wang, Elly W. Yang, Daniel S. Zisook:
Task formulation for Extracting Social Determinants of Health from Clinical Narratives. CoRR abs/2301.11386 (2023)
2010 – 2019
- 2019
- [j13]Son Doan, Elly W. Yang, Sameer S. Tilak, Peter W. Li, Daniel S. Zisook, Manabu Torii:
Extracting health-related causality from twitter messages using natural language processing. BMC Medical Informatics Decis. Mak. 19-S(3): 71-77 (2019) - [i10]Son Doan, Elly W. Yang, Sameer Tilak, Manabu Torii:
Using natural language processing to extract health-related causality from Twitter messages. CoRR abs/1911.06488 (2019) - [i9]Son Doan, Amanda Ritchart, Nicholas Perry, Juan D. Chaparro, Mike Conway:
How Do You #relax When You're #stressed? A Content Analysis and Infodemiology Study of Stress-Related Tweets. CoRR abs/1911.09242 (2019) - [i8]Son Doan, Mike Conway, Nigel Collier:
An Empirical Study of Sections in Classifying Disease Outbreak Reports. CoRR abs/1911.09319 (2019) - [i7]Son Doan, Quoc Hung Ngo, Ai Kawazoe, Nigel Collier:
Global Health Monitor: A Web-based System for Detecting and Mapping Infectious Diseases. CoRR abs/1911.09735 (2019) - [i6]Son Doan, Nguyen Thi Ngoc Vinh, Tu Minh Phuong:
Classifying Vietnamese Disease Outbreak Reports with Important Sentences and Rich Features. CoRR abs/1911.09883 (2019) - 2018
- [c20]Manabu Torii, Elly W. Yang, Son Doan:
A Preliminary Study of Clinical Concept Detection Using Syntactic Relations. AMIA 2018 - [c19]Son Doan, Elly W. Yang, Sameer Tilak, Manabu Torii:
Using Natural Language Processing to Extract Health-Related Causality from Twitter Messages. ICHI Workshops 2018: 84-85 - 2016
- [c18]Tsung-Ting Kuo, Pallavi Rao, Cleo K. Maehara, Son Doan, Juan D. Chaparro, Michele E. Day, Claudiu Farcas, Lucila Ohno-Machado, Chun-Nan Hsu:
Ensembles of NLP Tools for Data Element Extraction from Clinical Notes. AMIA 2016 - 2015
- [j12]Nestor Alvaro, Mike Conway, Son Doan, Christoph Lofi, John P. Overington, Nigel Collier:
Crowdsourcing Twitter annotations to identify first-hand experiences of prescription drug use. J. Biomed. Informatics 58: 280-287 (2015) - [i5]Janani Kalyanam, Sumithra Velupillai, Son Doan, Mike Conway, Gert R. G. Lanckriet:
Facts and Fabrications about Ebola: A Twitter Based Study. CoRR abs/1508.02079 (2015) - 2014
- [j11]Son Doan, Ko-Wei Lin, Mike Conway, Lucila Ohno-Machado, Alexander Hsieh, Stephanie Feudjio Feupe, Asher Garland, Mindy K. Ross, Xiaoqian Jiang, Seena Farzaneh, Rebecca Walker, Neda Alipanah, Jing Zhang, Hua Xu, Hyeoneui Kim:
PhenDisco: phenotype discovery system for the database of genotypes and phenotypes. J. Am. Medical Informatics Assoc. 21(1): 31-36 (2014) - [i4]Son Doan, Mike Conway, Tu Minh Phuong, Lucila Ohno-Machado:
Natural Language Processing in Biomedicine: A Unified System Architecture Overview. CoRR abs/1401.0569 (2014) - 2013
- [c17]Son Doan, Ko-Wei Lin, Rebecca Walker, Seena Farzaneh, Neda Alipanah, Hyeoneui Kim:
A Rule-based Natural Language Processing System in Tagging and Categorizing Phenotype Variables in NCBI's database of Genotypes and Phenotypes (dbGaP). AMIA 2013 - 2012
- [j10]Nigel Collier, Son Doan:
GENI-DB: a database of global events for epidemic intelligence. Bioinform. 28(8): 1186-1188 (2012) - [j9]Hung Quoc Ngo, Son Doan, Werner Winiwarter:
Using Wikipedia for Extracting Hierarchy and Building Geo-Ontology. Int. J. Web Inf. Syst. 8(4): 401-412 (2012) - [j8]Son Doan, Nigel Collier, Hua Xu, Pham Duy, Tu Minh Phuong:
Recognition of medication information from discharge summaries using ensembles of classifiers. BMC Medical Informatics Decis. Mak. 12: 36 (2012) - [c16]Alexander Hsieh, Son Doan, Michael Conway, Ko-Wei Lin, Hyeoneui Kim:
Demographics Identification: Variable Extraction Resource (DIVER). HISB 2012: 40-49 - [c15]Son Doan, Lucila Ohno-Machado, Nigel Collier:
Enhancing Twitter Data Analysis with Simple Semantic Filtering: Example in Tracking Influenza-Like Illnesses. HISB 2012: 62-71 - [c14]Son Doan, Nguyen Thi Ngoc Vinh, Tu Minh Phuong:
Classifying Vietnamese disease outbreak reports with important sentences and rich features. SoICT 2012: 260-265 - [i3]Son Doan, Lucila Ohno-Machado, Nigel Collier:
Enhancing Twitter Data Analysis with Simple Semantic Filtering: Example in Tracking Influenza-Like Illnesses. CoRR abs/1210.0848 (2012) - 2011
- [j7]Hua Xu, Samir AbdelRahman, Yanxin Lu, Joshua C. Denny, Son Doan:
Applying semantic-based probabilistic context-free grammar to medical language processing - A preliminary study on parsing medication sentences. J. Biomed. Informatics 44(6): 1068-1075 (2011) - [c13]Son Doan, Bao-Khanh Ho Vo, Nigel Collier:
An Analysis of Twitter Messages in the 2011 Tohoku Earthquake. eHealth 2011: 58-66 - [c12]Nigel Collier, Son Doan:
Syndromic Classification of Twitter Messages. eHealth 2011: 186-195 - [c11]Hung Quoc Ngo, Son Doan, Werner Winiwarter:
Building a geographical ontology by using Wikipedia. iiWAS 2011: 345-348 - [i2]Son Doan, Bao-Khanh Ho Vo, Nigel Collier:
An analysis of Twitter messages in the 2011 Tohoku Earthquake. CoRR abs/1109.1618 (2011) - [i1]Nigel Collier, Son Doan:
Syndromic classification of Twitter messages. CoRR abs/1110.3094 (2011) - 2010
- [j6]Hua Xu, Shane P. Stenner, Son Doan, Kevin B. Johnson, Lemuel R. Waitman, Joshua C. Denny:
Application of information technology: MedEx: a medication information extraction system for clinical narratives. J. Am. Medical Informatics Assoc. 17(1): 19-24 (2010) - [j5]Son Doan, Lisa Bastarache, Sergio Klimkowski, Joshua C. Denny, Hua Xu:
Integrating existing natural language processing tools for medication extraction from discharge summaries. J. Am. Medical Informatics Assoc. 17(5): 528-531 (2010) - [c10]Nigel Collier, Reiko Matsuda Goodwin, John P. McCrae, Son Doan, Ai Kawazoe, Mike Conway, Asanee Kawtrakul, Koichi Takeuchi, Dinh Dien:
An ontology-driven system for detecting global health events. COLING 2010: 215-222 - [c9]Son Doan, Hua Xu:
Recognizing Medication related Entities in Hospital Discharge Summaries using Support Vector Machine. COLING (Posters) 2010: 259-266 - [p1]Son Doan, Mike Conway, Nigel Collier:
An Empirical Study of Sections in Classifying Disease Outbreak Reports. Web-Based Applications in Healthcare and Biomedicine 2010: 47-58
2000 – 2009
- 2009
- [j4]Mike Conway, Son Doan, Ai Kawazoe, Nigel Collier:
Classifying disease outbreak reports using n-grams and semantic features. Int. J. Medical Informatics 78(12): 47-58 (2009) - [j3]Son Doan, Ai Kawazoe, Mike Conway, Nigel Collier:
Towards role-based filtering of disease outbreak reports. J. Biomed. Informatics 42(5): 773-780 (2009) - [c8]Mike Conway, Son Doan, Nigel Collier:
Using Hedges to Enhance a Disease Outbreak Report Text Mining System. BioNLP@HLT-NAACL 2009: 142-143 - 2008
- [j2]Nigel Collier, Son Doan, Ai Kawazoe, Reiko Matsuda Goodwin, Mike Conway, Yoshio Tateno, Hung Quoc Ngo, Dinh Dien, Asanee Kawtrakul, Koichi Takeuchi, Mika Shigematsu, Kiyosu Taniguchi:
BioCaster: detecting public health rumors with a Web-based text mining system. Bioinform. 24(24): 2940-2941 (2008) - [c7]Son Doan, Hung Quoc Ngo, Ai Kawazoe, Nigel Collier:
Global Health Monitor - A Web-based System for Detecting and Mapping Infectious Diseases. IJCNLP 2008: 951-956 - 2007
- [c6]Son Doan, Ai Kawazoe, Nigel Collier:
The Role of Roles in Classifying Annotated Biomedical Text. BioNLP@ACL 2007: 17-24 - 2006
- [c5]Son Doan, Quang-Thuy Ha, Susumu Horiguchi:
A General Fuzzy-Based Framework for Text Representation and Its Application to Text Categorization. FSKD 2006: 611-620 - 2005
- [j1]Son Doan, Susumu Horiguchi:
Improving Text Categorization by Multicriteria Feature Selection. J. Adv. Comput. Intell. Intell. Informatics 9(5): 570-575 (2005) - [c4]Son Doan:
A Fuzzy-Based Approach for Text Representation in Text Categorization. FUZZ-IEEE 2005: 1008-1013 - [c3]Son Doan, Susumu Horiguchi:
Multiple Concept Learning - A Novel Approach to Feature Selection in Text Categorization. WSTST 2005: 1043-1052 - 2004
- [c2]Son Doan, Susumu Horiguchi:
An Efficient Feature Selection Using Multi-Criteria in Text Categorization. HIS 2004: 86-91 - 2002
- [c1]Son Doan, Susumu Horiguchi:
A New Text Representation Method using Fussy Concepts in Text Categorization. FSKD 2002: 514-518
Coauthor Index
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