Aaron J. Masino

32 papers B 1C 2Misc 4Journal 17Unranked 8

Year	Rank	Type	Title / Venue / Authors
2025	J	`jnl`	Before the Clinic: Transparent and Operable Design Principles for Healthcare AI. CoRR Alexander Bakumenko, Aaron J. Masino, Janine Hoelscher
2025	J	`jnl`	PhenoGnet: A Graph-Based Contrastive Learning Framework for Disease Similarity Prediction. CoRR Ranga Baminiwatte, Kazi Jewel Rana, Aaron J. Masino
2024	C	`conf`	Automated Shared Phenotype Discovery in Undiagnosed Cohorts for Rare Disease Research. ICMLA Aaron J. Masino, Ranga Baminiwatte
2023	J	`jnl`	Deployment of a Robust and Explainable Mortality Prediction Model: The COVID-19 Pandemic and Beyond. CoRR Jacob R. Epifano, Stephen Glass, Ravi Prakash Ramachandran, Sharad Patel, Aaron J. Masino, Ghulam Rasool
2023	J	`jnl`	Opportunities for digital health technology: identifying unmet needs for bipolar misdiagnosis and depression care management. Frontiers Digit. Health Sarah M. Kark, Michelle A. Worthington, Richard H. Christie, Aaron J. Masino
2023	J	`jnl`	Revisiting the Fragility of Influence Functions. CoRR Jacob R. Epifano, Ravi Prakash Ramachandran, Aaron J. Masino, Ghulam Rasool
2023	J	`jnl`	Revisiting the fragility of influence functions. Neural Networks Jacob R. Epifano, Ravi Prakash Ramachandran, Aaron J. Masino, Ghulam Rasool
2022	J	`jnl`	Opening Access to Visual Exploration of Audiovisual Digital Biomarkers: an OpenDBM Analytics Tool. CoRR Carla Floricel, Jacob R. Epifano, Stephanie Caamano, Sarah M. Kark, Rich Christie, Aaron J. Masino, Andre D. Paredes
2021	Misc	`conf`	Longitudinal Performance of a Machine Learning NICU Sepsis Predictor. AMIA Aaron J. Masino, Mary Catherine Harris, Lakshmi Srinivasan, Robert W. Grundmeier
2021	Misc	`conf`	Obesity Classifier Performance Disparities by Demographic Subgroup. AMIA Elizabeth A. Campbell, Saurav Bose, Aaron J. Masino
2021	J	`jnl`	Prediction of early childhood obesity with machine learning and electronic health record data. Int. J. Medical Informatics Xueqin Pang, Christopher B. Forrest, Félice Lê-Scherban, Aaron J. Masino
2020	J	`jnl`	Temporal condition pattern mining in large, sparse electronic health record data: A case study in characterizing pediatric asthma. J. Am. Medical Informatics Assoc. Elizabeth A. Campbell, Ellen J. Bass, Aaron J. Masino
2019	J	`jnl`	Reply to comment on: "Deep learning for pharmacovigilance: recurrent neural network architectures for labeling adverse drug reactions in Twitter posts". J. Am. Medical Informatics Assoc. Anne Cocos, Alexander G. Fiks, Aaron J. Masino
2019	C	`conf`	Understanding Early Childhood Obesity via Interpretation of Machine Learning Model Predictions. ICMLA Xueqin Pang, Christopher B. Forrest, Félice Lê-Scherban, Aaron J. Masino
2019	B	`conf`	m-Health and Autism: Recognizing Stress and Anxiety with Machine Learning and Wearables Data. CBMS Aaron J. Masino, Daniel Forsyth, Heather Nuske, John Herrington, Jeffrey W. Pennington, Yelena Kushleyeva, Christopher P. Bonafide
2018	—	`conf`	A Framework for Developing and Evaluating Word Embeddings of Drug-named Entity. BioNLP Mengnan Zhao, Aaron J. Masino, Christopher C. Yang
2018	J	`jnl`	Detecting Adverse Drug Reactions on Twitter with Convolutional Neural Networks and Word Embedding Features. J. Heal. Informatics Res. Aaron J. Masino, Daniel Forsyth, Alexander G. Fiks
2018	Misc	`conf`	Machine Learning Models for Infant Sepsis Prediction. AMIA Aaron J. Masino, Mary Catherine Harris, Daniel Forsyth, Svetlana Ostapenko, Robert W. Grundmeier
2018	J	`jnl`	Unsupervised learning with GLRM feature selection reveals novel traumatic brain injury phenotypes. CoRR Aaron J. Masino, Kaitlin A. Folweiler
2017	—	`conf`	Combining rule-based and neural network systems for extracting adverse reactions from drug labels. TAC Anne Cocos, Aaron J. Masino
2017	J	`jnl`	Crowd control: Effectively utilizing unscreened crowd workers for biomedical data annotation. J. Biomed. Informatics Anne Cocos, Ting Qian, Chris Callison-Burch, Aaron J. Masino
2017	J	`jnl`	Deep learning for pharmacovigilance: recurrent neural network architectures for labeling adverse drug reactions in Twitter posts. J. Am. Medical Informatics Assoc. Anne Cocos, Alexander G. Fiks, Aaron J. Masino
2016	—	`conf`	Effectively Crowdsourcing Radiology Report Annotations. CRI Anne Cocos, Ting Qian, Aaron J. Masino
2016	J	`jnl`	Identification of Long Bone Fractures in Radiology Reports Using Natural Language Processing to support Healthcare Quality Improvement. Appl. Clin. Inform. Aaron J. Masino, T. Charles Casper, Jonathan Michael Dean, Jamie Bell, Rene Enriquez, Sara J. Deakyne Davies, James Chamberlain, Elizabeth R. Alpern, Robert Grundmeier
2016	—	`conf`	Identifying Subsets of "Big Data" Relevant for Hearing Loss Progression Research. CRI Ting Qian, Aaron J. Masino
2016	—	`conf`	Radiology Report Text Classification with Automatically Generated Regular Expression Pattern Features. CRI Daniel Forsyth, Anne Cocos, Aaron J. Masino
2016	J	`jnl`	Temporal bone radiology report classification using open source machine learning and natural langue processing libraries. BMC Medical Informatics Decis. Mak. Aaron J. Masino, Robert Grundmeier, Jeffrey W. Pennington, John A. Germiller, E. Bryan Crenshaw
2016	—	`conf`	Twitter Data Collection for ADHD Adverse Drug Event Detection. CRI Aaron J. Masino, Daniel Forsyth, Alexander G. Fiks
2015	—	`conf`	Effectively Crowdsourcing Radiology Report Annotations. Louhi@EMNLP Anne Cocos, Aaron J. Masino, Ting Qian, Ellie Pavlick, Chris Callison-Burch
2015	Misc	`conf`	Identifying Abnormal Anatomy on Temporal Bone Computed Tomography Reports Using Readily Available Natural Language Processing Software. AMIA Aaron J. Masino, Robert Grundmeier, Jeffrey W. Pennington, E. Bryan Crenshaw
2015	—	`conf`	Scalable biobanking: A modular electronic Honest Broker and Biorepository for integrated clinical, specimen and genomic research. BIBM Alex S. Felmeister, Tyler J. Rivera, Aaron J. Masino, Adam C. Resnick, Jeffrey W. Pennington
2014	J	`jnl`	Clinical phenotype-based gene prioritization: an initial study using semantic similarity and the human phenotype ontology. BMC Bioinform. 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