Clinical phenotype-based gene prioritization: an initial study using semantic similarity and the human phenotype ontology. - 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 (BMC Bioinform., 2014)

Effectively Crowdsourcing Radiology Report Annotations. - Anne Cocos; Aaron J. Masino; Ting Qian; Ellie Pavlick; Chris Callison-Burch (Louhi@EMNLP, 2015)

Identifying Abnormal Anatomy on Temporal Bone Computed Tomography Reports Using Readily Available Natural Language Processing Software. - Aaron J. Masino; Robert Grundmeier; Jeffrey W. Pennington; E. Bryan Crenshaw (AMIA, 2015)

Scalable biobanking: A modular electronic Honest Broker and Biorepository for integrated clinical, specimen and genomic research. - Alex S. Felmeister; Tyler J. Rivera; Aaron J. Masino; Adam C. Resnick; Jeffrey W. Pennington (BIBM, 2015)

Effectively Crowdsourcing Radiology Report Annotations. - Anne Cocos; Ting Qian; Aaron J. Masino (CRI, 2016)

Radiology Report Text Classification with Automatically Generated Regular Expression Pattern Features. - Daniel Forsyth; Anne Cocos; Aaron J. Masino (CRI, 2016)

Twitter Data Collection for ADHD Adverse Drug Event Detection. - Aaron J. Masino; Daniel Forsyth; Alexander G. Fiks (CRI, 2016)

Identifying Subsets of "Big Data" Relevant for Hearing Loss Progression Research. - Ting Qian; Aaron J. Masino (CRI, 2016)

Identification of Long Bone Fractures in Radiology Reports Using Natural Language Processing to support Healthcare Quality Improvement. - Aaron J. Masino; T. Charles Casper; Jonathan Michael Dean; Jamie Bell; Rene Enriquez; Sara J. Deakyne Davies; James Chamberlain; Elizabeth R. Alpern; Robert Grundmeier (Appl. Clin. Inform., 2016)

Temporal bone radiology report classification using open source machine learning and natural langue processing libraries. - Aaron J. Masino; Robert Grundmeier; Jeffrey W. Pennington; John A. Germiller; E. Bryan Crenshaw (BMC Medical Informatics Decis. Mak., 2016)

Combining rule-based and neural network systems for extracting adverse reactions from drug labels. - Anne Cocos; Aaron J. Masino (TAC, 2017)

Deep learning for pharmacovigilance: recurrent neural network architectures for labeling adverse drug reactions in Twitter posts. - Anne Cocos; Alexander G. Fiks; Aaron J. Masino (J. Am. Medical Informatics Assoc., 2017)

Crowd control: Effectively utilizing unscreened crowd workers for biomedical data annotation. - Anne Cocos; Ting Qian; Chris Callison-Burch; Aaron J. Masino (J. Biomed. Informatics, 2017)

Machine Learning Models for Infant Sepsis Prediction. - Aaron J. Masino; Mary Catherine Harris; Daniel Forsyth; Svetlana Ostapenko; Robert W. Grundmeier (AMIA, 2018)

A Framework for Developing and Evaluating Word Embeddings of Drug-named Entity. - Mengnan Zhao; Aaron J. Masino; Christopher C. Yang (BioNLP, 2018)

Unsupervised learning with GLRM feature selection reveals novel traumatic brain injury phenotypes. - Aaron J. Masino; Kaitlin A. Folweiler (CoRR, 2018)

Detecting Adverse Drug Reactions on Twitter with Convolutional Neural Networks and Word Embedding Features. - Aaron J. Masino; Daniel Forsyth; Alexander G. Fiks (J. Heal. Informatics Res., 2018)

m-Health and Autism: Recognizing Stress and Anxiety with Machine Learning and Wearables Data. - Aaron J. Masino; Daniel Forsyth; Heather Nuske; John Herrington; Jeffrey W. Pennington; Yelena Kushleyeva; Christopher P. Bonafide (CBMS, 2019)

Understanding Early Childhood Obesity via Interpretation of Machine Learning Model Predictions. - Xueqin Pang; Christopher B. Forrest; Félice Lê-Scherban; Aaron J. Masino (ICMLA, 2019)

Reply to comment on: "Deep learning for pharmacovigilance: recurrent neural network architectures for labeling adverse drug reactions in Twitter posts". - Anne Cocos; Alexander G. Fiks; Aaron J. Masino (J. Am. Medical Informatics Assoc., 2019)

Temporal condition pattern mining in large, sparse electronic health record data: A case study in characterizing pediatric asthma. - Elizabeth A. Campbell; Ellen J. Bass; Aaron J. Masino (J. Am. Medical Informatics Assoc., 2020)

Obesity Classifier Performance Disparities by Demographic Subgroup. - Elizabeth A. Campbell; Saurav Bose; Aaron J. Masino (AMIA, 2021)

Longitudinal Performance of a Machine Learning NICU Sepsis Predictor. - Aaron J. Masino; Mary Catherine Harris; Lakshmi Srinivasan; Robert W. Grundmeier (AMIA, 2021)

Prediction of early childhood obesity with machine learning and electronic health record data. - Xueqin Pang; Christopher B. Forrest; Félice Lê-Scherban; Aaron J. Masino (Int. J. Medical Informatics, 2021)

Opening Access to Visual Exploration of Audiovisual Digital Biomarkers: an OpenDBM Analytics Tool. - Carla Floricel; Jacob R. Epifano; Stephanie Caamano; Sarah M. Kark; Rich Christie; Aaron J. Masino; Andre D. Paredes (CoRR, 2022)

Deployment of a Robust and Explainable Mortality Prediction Model: The COVID-19 Pandemic and Beyond. - Jacob R. Epifano; Stephen Glass; Ravi Prakash Ramachandran; Sharad Patel; Aaron J. Masino; Ghulam Rasool 001 (CoRR, 2023)

Opportunities for digital health technology: identifying unmet needs for bipolar misdiagnosis and depression care management. - Sarah M. Kark; Michelle A. Worthington; Richard H. Christie; Aaron J. Masino (Frontiers Digit. Health, 2023)

Revisiting the fragility of influence functions. - Jacob R. Epifano; Ravi Prakash Ramachandran; Aaron J. Masino; Ghulam Rasool 001 (Neural Networks, 2023)

Automated Shared Phenotype Discovery in Undiagnosed Cohorts for Rare Disease Research. - Aaron J. Masino; Ranga Baminiwatte (ICMLA, 2024)