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Semantic ScholarAaron J. Masino
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2010 – today
- 2019
[j5]Anne Cocos, Alexander G. Fiks, Aaron J. Masino:
Reply to comment on: "Deep learning for pharmacovigilance: recurrent neural network architectures for labeling adverse drug reactions in Twitter posts". JAMIA 26(6): 580-581 (2019)- [c10]Aaron J. Masino, Daniel Forsyth, Heather Nuske, John Herrington, Jeffrey W. Pennington, Yelena Kushleyeva, Christopher P. Bonafide:
m-Health and Autism: Recognizing Stress and Anxiety with Machine Learning and Wearables Data. CBMS 2019: 714-719 - 2018
- [c9]Aaron J. Masino, Mary Catherine Harris, Daniel Forsyth, Svetlana Ostapenko, Robert W. Grundmeier:
Machine Learning Models for Infant Sepsis Prediction. AMIA 2018 - [c8]Mengnan Zhao, Aaron J. Masino, Christopher C. Yang:
A Framework for Developing and Evaluating Word Embeddings of Drug-named Entity. BioNLP 2018: 156-160 - [i2]Aaron J. Masino, Kaitlin A. Folweiler:
Unsupervised learning with GLRM feature selection reveals novel traumatic brain injury phenotypes. CoRR abs/1812.00030 (2018) - 2017
- [j4]Anne Cocos, Alexander G. Fiks, Aaron J. Masino:
Deep learning for pharmacovigilance: recurrent neural network architectures for labeling adverse drug reactions in Twitter posts. JAMIA 24(4): 813-821 (2017) - [j3]Anne Cocos, Ting Qian, Chris Callison-Burch, Aaron J. Masino:
Crowd control: Effectively utilizing unscreened crowd workers for biomedical data annotation. Journal of Biomedical Informatics 69: 86-92 (2017) - [i1]Anne Cocos, Aaron J. Masino:
Combining rule-based and neural network systems for extracting adverse reactions from drug labels. TAC 2017 - 2016
- [j2]Aaron J. Masino, Robert Grundmeier, Jeffrey W. Pennington, John A. Germiller, E. Bryan Crenshaw:
Temporal bone radiology report classification using open source machine learning and natural langue processing libraries. BMC Med. Inf. & Decision Making 16: 65 (2016) - [c7]Anne Cocos, Ting Qian, Aaron J. Masino:
Effectively Crowdsourcing Radiology Report Annotations. CRI 2016 - [c6]Daniel Forsyth, Anne Cocos, Aaron J. Masino:
Radiology Report Text Classification with Automatically Generated Regular Expression Pattern Features. CRI 2016 - [c5]Aaron J. Masino, Daniel Forsyth, Alexander G. Fiks:
Twitter Data Collection for ADHD Adverse Drug Event Detection. CRI 2016 - [c4]Ting Qian, Aaron J. Masino:
Identifying Subsets of "Big Data" Relevant for Hearing Loss Progression Research. CRI 2016 - 2015
- [c3]Anne Cocos, Aaron J. Masino, Ting Qian, Ellie Pavlick, Chris Callison-Burch:
Effectively Crowdsourcing Radiology Report Annotations. Louhi@EMNLP 2015: 109-114 - [c2]Aaron J. Masino, Robert Grundmeier, Jeffrey W. Pennington, E. Bryan Crenshaw:
Identifying Abnormal Anatomy on Temporal Bone Computed Tomography Reports Using Readily Available Natural Language Processing Software. AMIA 2015 - [c1]Alex S. Felmeister, Tyler J. Rivera, Aaron J. Masino, Adam C. Resnick, Jeffrey W. Pennington:
Scalable biobanking: A modular electronic Honest Broker and Biorepository for integrated clinical, specimen and genomic research. BIBM 2015: 484-490 - 2014
- [j1]Aaron J. Masino, Elizabeth T. Dechene, Matthew C. Dulik, Alisha Wilkens, Nancy B. Spinner, Ian D. Krantz, Jeffrey W. Pennington, Peter N. Robinson, Peter S. White:
Clinical phenotype-based gene prioritization: an initial study using semantic similarity and the human phenotype ontology. BMC Bioinformatics 15: 248 (2014)
Coauthor Index
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