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2020 – today
- 2024
[j17]Kamel Mansouri, José T. Moreira-Filho, Charles N. Lowe
, Nathaniel Charest, Todd Martin, Valery Tkachenko, Richard S. Judson, Mike Conway, Nicole C. Kleinstreuer, Antony J. Williams:
Free and open-source QSAR-ready workflow for automated standardization of chemical structures in support of QSAR modeling. J. Cheminformatics 16(1): 19 (2024)- [j16]José T. Moreira-Filho, Dhruv Ranganath, Mike Conway, Charles Schmitt, Nicole C. Kleinstreuer, Kamel Mansouri:
Democratizing cheminformatics: interpretable chemical grouping using an automated KNIME workflow. J. Cheminformatics 16(1): 101 (2024) - [c43]Yiyuan Pu, Kaitlyn Hair, Daniel Beck, Mike Conway, Malcolm MacLeod, Karin Verspoor:
Intervention extraction in preclinical animal studies of Alzheimer's Disease: Enhancing regex performance with language model-based filtering. BioNLP@ACL 2024: 486-492 - [c42]Daniel Cabrera Lozoya, Jiahe Liu, Simon D'Alfonso, Mike Conway:
Optimizing Multimodal Large Language Models for Detection of Alcohol Advertisements via Adaptive Prompting. BioNLP@ACL 2024: 514-525 - [c41]Abir Naskar, Jane S. Hocking, Patty Chondros, Douglas Boyle, Mike Conway:
MLBMIKABR at "Discharge Me!": Concept Based Clinical Text Description Generation. BioNLP@ACL 2024: 740-747 - [c40]Damian Curran, Mike Conway:
Similarity Ranking of Case Law Using Propositions as Features. JSAI-isAI 2024: 156-166 - [c39]Daniel Cabrera Lozoya, Alejandro Berazaluce, Juan Perches, Eloy Lúa, Mike Conway, Simon D'Alfonso:
Generating Mental Health Transcripts with SAPE (Spanish Adaptive Prompt Engineering). NAACL-HLT 2024: 5096-5113 - [i6]Pagnarasmey Pit, Xingjun Ma, Mike Conway, Qingyu Chen, James Bailey, Henry Pit, Putrasmey Keo, Watey Diep, Yu-Gang Jiang:
Whose Side Are You On? Investigating the Political Stance of Large Language Models. CoRR abs/2403.13840 (2024) - 2023
- [j15]Alexandre Borrel, Mike Conway, Sue Nolte, Aswani Unnikrishnan, Charles Schmitt, Nicole C. Kleinstreuer:
ChemMaps.com v2.0: exploring the environmental chemical universe. Nucleic Acids Res. 51(W1): 78-82 (2023) - [c38]Vlada Rozova, Jinghui Liu, Mike Conway:
Natural Language Processing for Clinical Text. ALTA 2023: 179-182 - [c37]Daniel Cabrera Lozoya, Simon D'Alfonso, Mike Conway:
Identifying Gender Bias in Generative Models for Mental Health Synthetic Data. ICHI 2023: 619-626 - [c36]Jamie L. W. Rhoads, Lee M. Christensen, Skylar Westerdahl, Vanessa Stevens, Wendy W. Chapman, Mike Conway:
Automatic Extraction of Skin and Soft Tissue Infection Status from Clinical Notes. MedInfo 2023: 579-583 - [c35]Patrick R. Alba, Qiwei Gan, Mengke Hu, Shu-Hong Zhu, Scott E. Sherman, Scott L. DuVall, Mike Conway:
Development of a Natural Language Processing System to Identify Clinical Documentation of Electronic Cigarette Use. MedInfo 2023: 659-663 - 2021
- [c34]Ryzen Benson, Candace Winterton, Maci Winn, Mei Liu, Noor Abu-El-Rub, John F. Hurdle, Mike Conway, Andrew Gawron, Sheetal Hardikar:
Colorectal Polyp Extraction System (CoPEx): A Natural Language Processing Pipeline to Extract Colorectal Polyp Characteristics from Pathology Reports. AMIA 2021 - [c33]Mike Conway, Patrick R. Alba, Shu-Hong Zhu, Olga V. Patterson:
Vaping at the VA: Developing an Annotated Corpus of Electronic Cigarette Mentions in Clinical Notes at the Department of Veterans Affairs. AMIA 2021 - 2020
- [j14]Xiangyang Ye, Qing T. Zeng, Julio C. Facelli, Diana I. Brixner, Mike Conway, Bruce E. Bray:
Predicting Optimal Hypertension Treatment Pathways Using Recurrent Neural Networks. Int. J. Medical Informatics 139: 104122 (2020) - [j13]Alexandre Borrel, Kamel Mansouri, Sue Nolte, Trey Saddler, Mike Conway, Charles Schmitt, Nicole C. Kleinstreuer:
InterPred: a webtool to predict chemical autofluorescence and luminescence interference. Nucleic Acids Res. 48(Webserver-Issue): W586-W590 (2020) - [c32]Patrick R. Alba, Olga V. Patterson, Mike Conway:
A Decade of Vaping: Identifying Shifts in Clinical Documentation and Terminology in the Department of Veterans Affairs (2010-2020). AMIA 2020
2010 – 2019
- 2019
- [j12]Mike Conway, Salomeh Keyhani, Lee M. Christensen, Brett R. South, Marzieh Vali, Louise C. Walter, Danielle L. Mowery, Samir E. AbdelRahman, Wendy W. Chapman:
Moonstone: a novel natural language processing system for inferring social risk from clinical narratives. J. Biomed. Semant. 10(1): 6:1-6:10 (2019) - [j11]Maryam Zolnoori, Kin Wah Fung, Timothy B. Patrick, Paul A. Fontelo, Hadi Kharrazi, Anthony Faiola, Yi Shuan Shirley Wu, Christina E. Eldredge, Jake Luo, Mike Conway, Jiaxi Zhu, Soo Kyung Park, Kelly Xu, Hamideh Moayyed, Somaieh Goudarzvand:
A systematic approach for developing a corpus of patient reported adverse drug events: A case study for SSRI and SNRI medications. J. Biomed. Informatics 90 (2019) - [c31]Resham Kulkarni, Mike Conway, Deep Patel, Maria Shatz, Stephanie Holmgren, Charles Schmitt:
Catalog for Ontologies Towards Semantic Integration Across Environmental Health Science Research Data. ICBO 2019: 1 - [i5]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) - [i4]Son Doan, Mike Conway, Nigel Collier:
An Empirical Study of Sections in Classifying Disease Outbreak Reports. CoRR abs/1911.09319 (2019) - 2018
- [j10]Albert Park, Mike Conway, Annie T. Chen:
Examining thematic similarity, difference, and membership in three online mental health communities from reddit: A text mining and visualization approach. Comput. Hum. Behav. 78: 98-112 (2018) - 2017
- [c30]Jia-Wen Guo, Danielle L. Mowery, Djin Lai, Katherine A. Sward, Mike Conway:
A Corpus Analysis of Social Connections and Social Isolation in Adolescents Suffering from Depressive Disorders. CLPsych@ACL 2017: 26-31 - [c29]Jude Mikal, Samantha Hurst, Mike Conway:
Investigating Patient Attitudes Towards the use of Social Media Data to Augment Depression Diagnosis and Treatment: a Qualitative Study. CLPsych@ACL 2017: 41-47 - [c28]Albert Park, Mike Conway:
Tracking Health Related Discussions on Reddit for Public Health Applications. AMIA 2017 - [c27]Albert Park, Mike Conway:
Identifying Health Interests of the General Public using Reddit. AMIA 2017 - [c26]Danielle L. Mowery, Brett R. South, Olga V. Patterson, Shu-Hong Zhu, Mike Conway:
Investigating the Documentation of Electronic Cigarette Use in the Veteran Affairs Electronic Health Record: A Pilot Study. BioNLP 2017: 282-286 - [c25]Elizabeth Cary, Aaron M. Secrest, Chrissy Daniels, Wendy W. Chapman, Mike Conway, Danielle L. Mowery:
Classifying Sentiment of Free-Text Comments in Patient Satisfaction Surveys. CRI 2017 - [c24]Brett R. South, Lee M. Christensen, Danielle L. Mowery, Melissa Castine, Marzieh Vali, Marjorie Carter, Mike Conway, Adi V. Gundlapalli, Wendy W. Chapman, Salomeh Keyhani:
Automatic Extraction of Social Determinants of Health from Veterans Affairs Clinical Documents using Natural Language Processing. CRI 2017 - [c23]Ashok Kumar Krishnamurthy, Kira Bradford, Chris Calloway, Claris Castillo, Mike Conway, Jason Coposky, Yue Guo, Ray Idaszak, W. Christopher Lenhardt, Kimberly Robasky, Terrell G. Russell, Erik Scott, Marcin Sliwowski, Michael J. Stealey, Kelsey Urgo, Hao Xu, Hong Yi, Stan Ahalt:
xDCI, a data science cyberinfrastructure for interdisciplinary research. HPEC 2017: 1-7 - [c22]Qian Wang, Shaoyu Wang, Xiaofeng Zhu, Tianyi Liu, Zachary Humphrey, Vladimir Ghukasyan, Mike Conway, Erik Scott, Giulia Fragola, Kira Bradford, Mark J. Zylka, Ashok K. Krishnamurthy, Jason L. Stein, Guorong Wu:
Accurate and High Throughput Cell Segmentation Method for Mouse Brain Nuclei Using Cascaded Convolutional Neural Network. Patch-MI@MICCAI 2017: 55-62 - [c21]Nigel Collier, Nut Limsopatham, Aron Culotta, Mike Conway, Ingemar J. Cox, Vasileios Lampos:
WSDM 2017 Workshop on Mining Online Health Reports: MOHRS 2017. WSDM 2017: 825-826 - [i3]Danielle L. Mowery, Craig Bryan, Mike Conway:
Feature Studies to Inform the Classification of Depressive Symptoms from Twitter Data for Population Health. CoRR abs/1701.08229 (2017) - 2016
- [j9]Mike Conway, Artem Khojoyan, Fariba Fana, William Scuba, Melissa Castine, Danielle L. Mowery, Wendy W. Chapman, Simon Jupp:
Developing a web-based SKOS editor. J. Biomed. Semant. 7: 5 (2016) - [j8]Danielle L. Mowery, Brian E. Chapman, Mike Conway, Brett R. South, Erin Madden, Salomeh Keyhani, Wendy W. Chapman:
Extracting a stroke phenotype risk factor from Veteran Health Administration clinical reports: an information content analysis. J. Biomed. Semant. 7: 26 (2016) - [c20]Kristina Doing-Harris, Danielle L. Mowery, Chrissy Daniels, Wendy W. Chapman, Mike Conway:
Understanding patient satisfaction with received healthcare services: A natural language processing approach. AMIA 2016 - [c19]Danielle L. Mowery, Kristina M. Doing-Harris, Wendy W. Chapman, Chrissy Daniels, Mike Conway:
A Characterization of Emotional Valence to Support Review of Free-Text Press-Ganey Patient Satisfaction Survey Responses. AMIA 2016 - [c18]Maryam Zolnoori, Timothy B. Patrick, Mike Conway, Anthony Faiola, Jake Luo:
Evaluating Acceptability and Efficacy of Antidepressant Medications using Patients Comments in Social Media. AMIA 2016 - [c17]Janani Kalyanam, Sumithra Velupillai, Mike Conway, Gert R. G. Lanckriet:
From event detection to storytelling on microblogs. ASONAM 2016: 437-442 - [c16]Sumithra Velupillai, Danielle L. Mowery, Mike Conway, John F. Hurdle, Brent Kious:
Vocabulary Development To Support Information Extraction of Substance Abuse from Psychiatry Notes. BioNLP@ACL 2016: 92-101 - [c15]Danielle L. Mowery, Albert Park, Craig Bryan, Mike Conway:
Towards Automatically Classifying Depressive Symptoms from Twitter Data for Population Health. PEOPLES@COLING 2016: 182-191 - [c14]Xiaorui Chen, Maureen A. Murtaugh, Corinna Koebnick, Srinivasan Beddhu, Jennifer H. Garvin, Mike Conway, Younghee Lee, Ramkiran Gouripeddi, Gang Luo:
Dietary Management Software for Chronic Kidney Disease: Current Status and Open Issues. HIS 2016: 62-72 - [c13]W. Christopher Lenhardt, Mike Conway, Erik Scott, Brian Blanton, Ashok Kumar Krishnamurthy, Mirsad Hadzikadic, Mladen A. Vouk, Alyson G. Wilson:
Cross-institutional research cyberinfrastructure for data intensive science. HPEC 2016: 1-6 - 2015
- [j7]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) - [c12]Brett R. South, Danielle L. Mowery, Lee M. Christensen, Adi V. Gundlapalli, Melissa Tharp, Marzieh Vali, Marjorie E. Carter, Mike Conway, Salomeh Keyhani, Wendy W. Chapman:
Annotating ADLs and IADLs in Veterans Affairs Clinical Documents. AMIA 2015 - [c11]Danielle L. Mowery, Craig Bryan, Mike Conway:
Towards Developing an Annotation Scheme for Depressive Disorder Symptoms: A Preliminary Study using Twitter Data. CLPsych@HLT-NAACL 2015: 89-98 - [i2]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
- [j6]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) - [i1]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
- [j5]Mike Conway, John N. Dowling, Wendy Webber Chapman:
Using chief complaints for syndromic surveillance: A review of chief complaint based classifiers in North America. J. Biomed. Informatics 46(4): 734-743 (2013) - [c10]Mike Conway:
A Bibliometric study of Ethics Citations in Biomedical Informatics Journals. AMIA 2013 - [c9]Aron Henriksson, Mike Conway, Martin Duneld, Wendy Webber Chapman:
Identifying Synonymy between SNOMED Clinical Terms of Varying Length Using Distributional Analysis of Electronic Health Records. AMIA 2013 - [c8]Mindy K. Ross, Abhishek Kumar, Myoung Lah, Richard Y. Calvo, Mike Conway:
Recreational Drug Slang: Identification of New Terms and Populating a Lexical Taxonomy Ontology. AMIA 2013 - [c7]Aron Henriksson, Maria Skeppstedt, Maria Kvist, Martin Duneld, Mike Conway:
Corpus-Driven Terminology Development: Populating Swedish SNOMED CT with Synonyms Extracted from Electronic Health Records. BioNLP@ACL 2013: 36-44 - [c6]Wendy Webber Chapman, Dieter Hillert, Sumithra Velupillai, Maria Kvist, Maria Skeppstedt, Brian E. Chapman, Mike Conway, Melissa Tharp, Danielle L. Mowery, Louise Deléger:
Extending the NegEx Lexicon for Multiple Languages. MedInfo 2013: 677-681 - 2012
- [c5]Mike Conway, Wendy Webber Chapman:
Discovering Lexical Instantiations of Clinical Concepts using Web Services, WordNet and Corpus Resources. AMIA 2012 - [c4]Karen Truong, Mike Conway:
A Study on Studies: Exploring the Metadata Associated with dbGaP Studies. HISB 2012: 126 - 2010
- [j4]Mike Conway:
Mining a corpus of biographical texts using keywords. Lit. Linguistic Comput. 25(1): 23-35 (2010) - [c3]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 - [c2]Richard D. Boyce, Henk Harkema, Mike Conway:
Leveraging the semantic web and natural language processing to enhance drug-mechanism knowledge in drug product labels. IHI 2010: 492-496 - [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
- [j3]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) - [j2]Son Doan, Ai Kawazoe, Mike Conway, Nigel Collier:
Towards role-based filtering of disease outbreak reports. J. Biomed. Informatics 42(5): 773-780 (2009) - [c1]Mike Conway, Son Doan, Nigel Collier:
Using Hedges to Enhance a Disease Outbreak Report Text Mining System. BioNLP@HLT-NAACL 2009: 142-143 - 2008
- [j1]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)
Coauthor Index
Wendy W. Chapman
aka: Wendy Webber Chapman
aka: Wendy Webber Chapman
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last updated on 2024-10-07 21:21 CEST by the dblp team
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