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Aaron J Masino

Showing results (1-10 of 33) with videos related to

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Proceedings of the ... International Conference on Machine Learning and Applications. International Conference on Machine Learning and Applications|April 7, 2025
Automated Shared Phenotype Discovery in Undiagnosed Cohorts for Rare Disease ResearchAaron J Masino, Ranga Baminiwatte
Plos One|September 17, 2016
Latent Patient Cluster Discovery for Robust Future Forecasting and New-Patient GeneralizationTing Qian, Aaron J Masino
Plos One|March 1, 2021
Personalized prediction of early childhood asthma persistence: A machine learning approachSaurav Bose, Chén C Kenyon, Aaron J Masino
Journal of Healthcare Informatics Research|April 13, 2022
Detecting Adverse Drug Reactions on Twitter with Convolutional Neural Networks and Word Embedding FeaturesAaron J Masino, Daniel Forsyth, Alexander G Fiks
Journal of the American Medical Informatics Association : JAMIA|April 14, 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
Journal of the American Medical Informatics Association : JAMIA|March 25, 2017
Deep learning for pharmacovigilance: recurrent neural network architectures for labeling adverse drug reactions in Twitter postsAnne Cocos, Alexander G Fiks, Aaron J Masino
PLOS Digital Health|October 23, 2024
Conceptualizing bias in EHR data: A case study in performance disparities by demographic subgroups for a pediatric obesity incidence classifierElizabeth A Campbell, Saurav Bose, Aaron J Masino
Journal of the American Medical Informatics Association : JAMIA|February 13, 2020
Temporal condition pattern mining in large, sparse electronic health record data: A case study in characterizing pediatric asthmaElizabeth A Campbell, Ellen J Bass, Aaron J Masino
International Journal of Laboratory Hematology|May 5, 2021
Aiding clinical assessment of neonatal sepsis using hematological analyzer data with machine learning techniquesBrian Huang, Robin Wang, Aaron J Masino, et al.
Journal of Biomedical Informatics|April 9, 2017
Crowd control: Effectively utilizing unscreened crowd workers for biomedical data annotationAnne Cocos, Ting Qian, Chris Callison-Burch, et al.
Pageof 4

Showing results (1-10 of 33) with videos related to

Sort By:
Pageof 4
Proceedings of the ... International Conference on Machine Learning and Applications. International Conference on Machine Learning and Applications|April 7, 2025
Automated Shared Phenotype Discovery in Undiagnosed Cohorts for Rare Disease ResearchAaron J Masino, Ranga Baminiwatte
Plos One|September 17, 2016
Latent Patient Cluster Discovery for Robust Future Forecasting and New-Patient GeneralizationTing Qian, Aaron J Masino
Plos One|March 1, 2021
Personalized prediction of early childhood asthma persistence: A machine learning approachSaurav Bose, Chén C Kenyon, Aaron J Masino
Journal of Healthcare Informatics Research|April 13, 2022
Detecting Adverse Drug Reactions on Twitter with Convolutional Neural Networks and Word Embedding FeaturesAaron J Masino, Daniel Forsyth, Alexander G Fiks
Journal of the American Medical Informatics Association : JAMIA|April 14, 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
Journal of the American Medical Informatics Association : JAMIA|March 25, 2017
Deep learning for pharmacovigilance: recurrent neural network architectures for labeling adverse drug reactions in Twitter postsAnne Cocos, Alexander G Fiks, Aaron J Masino
PLOS Digital Health|October 23, 2024
Conceptualizing bias in EHR data: A case study in performance disparities by demographic subgroups for a pediatric obesity incidence classifierElizabeth A Campbell, Saurav Bose, Aaron J Masino
Journal of the American Medical Informatics Association : JAMIA|February 13, 2020
Temporal condition pattern mining in large, sparse electronic health record data: A case study in characterizing pediatric asthmaElizabeth A Campbell, Ellen J Bass, Aaron J Masino
International Journal of Laboratory Hematology|May 5, 2021
Aiding clinical assessment of neonatal sepsis using hematological analyzer data with machine learning techniquesBrian Huang, Robin Wang, Aaron J Masino, et al.
Journal of Biomedical Informatics|April 9, 2017
Crowd control: Effectively utilizing unscreened crowd workers for biomedical data annotationAnne Cocos, Ting Qian, Chris Callison-Burch, et al.
Pageof 4