|Clinical information extraction applications: a literature review|
Y Wang, L Wang, M Rastegar-Mojarad, S Moon, F Shen, N Afzal, S Liu, ...
Journal of biomedical informatics 77, 34-49, 2018
|UTHealth at SemEval-2016 task 12: an end-to-end system for temporal information extraction from clinical notes|
HJ Lee, H Xu, J Wang, Y Zhang, S Moon, J Xu, Y Wu
Proceedings of the 10th International Workshop on Semantic Evaluation …, 2016
|Automated disambiguation of acronyms and abbreviations in clinical texts: window and training size considerations|
S Moon, S Pakhomov, GB Melton
AMIA annual symposium proceedings 2012, 1310, 2012
|A sense inventory for clinical abbreviations and acronyms created using clinical notes and medical dictionary resources|
S Moon, S Pakhomov, N Liu, JO Ryan, GB Melton
Journal of the American Medical Informatics Association 21 (2), 299-307, 2014
|Challenges and practical approaches with word sense disambiguation of acronyms and abbreviations in the clinical domain|
S Moon, B McInnes, GB Melton
Healthcare informatics research 21 (1), 35-42, 2015
|Modeling asynchronous event sequences with RNNs|
S Wu, S Liu, S Sohn, S Moon, C Wi, Y Juhn, H Liu
Journal of biomedical informatics 83, 167-177, 2018
|Clinical concept extraction: a methodology review|
S Fu, D Chen, H He, S Liu, S Moon, KJ Peterson, F Shen, L Wang, ...
Journal of Biomedical Informatics, 103526, 2020
|An active learning-enabled annotation system for clinical named entity recognition|
Y Chen, TA Lask, Q Mei, Q Chen, S Moon, J Wang, K Nguyen, T Dawodu, ...
BMC medical informatics and decision making 17 (2), 35-44, 2017
|Desiderata for delivering NLP to accelerate healthcare AI advancement and a Mayo Clinic NLP-as-a-service implementation|
A Wen, S Fu, S Moon, M El Wazir, A Rosenbaum, VC Kaggal, S Liu, ...
NPJ digital medicine 2 (1), 1-7, 2019
|Clinical Acronym/Abbreviation Normalization using a Hybrid Approach.|
Y Wu, B Tang, M Jiang, S Moon, JC Denny, H Xu
CLEF (Working Notes), 2013
|Word sense disambiguation of clinical abbreviations with hyperdimensional computing|
S Moon, BT Berster, H Xu, T Cohen
AMIA annual symposium proceedings 2013, 1007, 2013
|Automated extraction of sudden cardiac death risk factors in hypertrophic cardiomyopathy patients by natural language processing|
S Moon, S Liu, CG Scott, S Samudrala, MM Abidian, JB Geske, ...
International journal of medical informatics 128, 32-38, 2019
|Detecting pharmacovigilance signals combining electronic medical records with spontaneous reports: a case study of conventional disease-modifying antirheumatic drugs for …|
L Wang, M Rastegar-Mojarad, Z Ji, S Liu, K Liu, S Moon, F Shen, Y Wang, ...
Frontiers in pharmacology 9, 875, 2018
|Leveraging the electronic health record to create an automated real‐time prognostic tool for peripheral arterial disease|
AM Arruda‐Olson, N Afzal, V Priya Mallipeddi, A Said, H Moussa Pacha, ...
Journal of the American Heart Association 7 (23), e009680, 2018
|Automated identification of synonyms in biomedical acronym sense inventories|
GB Melton, SR Moon, B McInnes, S Pakhomov
Proceedings of the NAACL HLT 2010 Second Louhi Workshop on Text and Data …, 2010
|Association of ankle-brachial indices with limb revascularization or amputation in patients with peripheral artery disease|
HM Pacha, VP Mallipeddi, N Afzal, S Moon, VC Kaggal, M Kalra, ...
JAMA network open 1 (8), e185547-e185547, 2018
|Adapting and evaluating a deep learning language model for clinical why-question answering|
A Wen, MY Elwazir, S Moon, J Fan
JAMIA open 3 (1), 16-20, 2020
|Clinical Abbreviation Sense Inventory|
S Moon, S Pakhomov, G Melton
|Salience of medical concepts of inside clinical texts and outside medical records for referred cardiovascular patients|
S Moon, S Liu, D Chen, Y Wang, DL Wood, R Chaudhry, H Liu, ...
Journal of Healthcare Informatics Research 3 (2), 200-219, 2019
|Automated non-alphanumeric symbol resolution in clinical texts|
SR Moon, S Pakhomov, J Ryan, GB Melton
AMIA Annual Symposium Proceedings 2011, 979, 2011