Aaron J. Masino
Orcid: 0000-0002-2684-0548
According to our database1,
Aaron J. Masino
authored at least 28 papers
between 2014 and 2023.
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Bibliography
2023
Opportunities for digital health technology: identifying unmet needs for bipolar misdiagnosis and depression care management.
Frontiers Digit. Health, March, 2023
Deployment of a Robust and Explainable Mortality Prediction Model: The COVID-19 Pandemic and Beyond.
CoRR, 2023
2022
Opening Access to Visual Exploration of Audiovisual Digital Biomarkers: an OpenDBM Analytics Tool.
CoRR, 2022
2021
Prediction of early childhood obesity with machine learning and electronic health record data.
Int. J. Medical Informatics, 2021
Proceedings of the AMIA 2021, American Medical Informatics Association Annual Symposium, San Diego, CA, USA, October 30, 2021, 2021
Proceedings of the AMIA 2021, American Medical Informatics Association Annual Symposium, San Diego, CA, USA, October 30, 2021, 2021
2020
Temporal condition pattern mining in large, sparse electronic health record data: A case study in characterizing pediatric asthma.
J. Am. Medical Informatics Assoc., 2020
2019
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., 2019
Understanding Early Childhood Obesity via Interpretation of Machine Learning Model Predictions.
Proceedings of the 18th IEEE International Conference On Machine Learning And Applications, 2019
m-Health and Autism: Recognizing Stress and Anxiety with Machine Learning and Wearables Data.
Proceedings of the 32nd IEEE International Symposium on Computer-Based Medical Systems, 2019
2018
Detecting Adverse Drug Reactions on Twitter with Convolutional Neural Networks and Word Embedding Features.
J. Heal. Informatics Res., 2018
Unsupervised learning with GLRM feature selection reveals novel traumatic brain injury phenotypes.
CoRR, 2018
Proceedings of the BioNLP 2018 workshop, Melbourne, Australia, July 19, 2018, 2018
Proceedings of the AMIA 2018, 2018
2017
Crowd control: Effectively utilizing unscreened crowd workers for biomedical data annotation.
J. Biomed. Informatics, 2017
Deep learning for pharmacovigilance: recurrent neural network architectures for labeling adverse drug reactions in Twitter posts.
J. Am. Medical Informatics Assoc., 2017
Combining rule-based and neural network systems for extracting adverse reactions from drug labels.
Proceedings of the 2017 Text Analysis Conference, 2017
2016
Temporal bone radiology report classification using open source machine learning and natural langue processing libraries.
BMC Medical Informatics Decis. Mak., 2016
Identification of Long Bone Fractures in Radiology Reports Using Natural Language Processing to support Healthcare Quality Improvement.
Appl. Clin. Inform., 2016
Proceedings of the Summit on Clinical Research Informatics, 2016
Proceedings of the Summit on Clinical Research Informatics, 2016
Radiology Report Text Classification with Automatically Generated Regular Expression Pattern Features.
Proceedings of the Summit on Clinical Research Informatics, 2016
Proceedings of the Summit on Clinical Research Informatics, 2016
2015
Scalable biobanking: A modular electronic Honest Broker and Biorepository for integrated clinical, specimen and genomic research.
Proceedings of the 2015 IEEE International Conference on Bioinformatics and Biomedicine, 2015
Identifying Abnormal Anatomy on Temporal Bone Computed Tomography Reports Using Readily Available Natural Language Processing Software.
Proceedings of the AMIA 2015, 2015
Proceedings of the Sixth International Workshop on Health Text Mining and Information Analysis, 2015
2014
Clinical phenotype-based gene prioritization: an initial study using semantic similarity and the human phenotype ontology.
BMC Bioinform., 2014