Search Results for author: Brett K. Beaulieu-Jones

Found 5 papers, 1 papers with code

ML4H Abstract Track 2019

no code implementations5 Feb 2020 Matthew B. A. McDermott, Emily Alsentzer, Sam Finlayson, Michael Oberst, Fabian Falck, Tristan Naumann, Brett K. Beaulieu-Jones, Adrian V. Dalca

A collection of the accepted abstracts for the Machine Learning for Health (ML4H) workshop at NeurIPS 2019.

Privacy-Preserving Distributed Deep Learning for Clinical Data

no code implementations4 Dec 2018 Brett K. Beaulieu-Jones, William Yuan, Samuel G. Finlayson, Zhiwei Steven Wu

Deep learning with medical data often requires larger samples sizes than are available at single providers.

Machine Learning for Health (ML4H) Workshop at NeurIPS 2018

no code implementations17 Nov 2018 Natalia Antropova, Andrew L. Beam, Brett K. Beaulieu-Jones, Irene Chen, Corey Chivers, Adrian Dalca, Sam Finlayson, Madalina Fiterau, Jason Alan Fries, Marzyeh Ghassemi, Mike Hughes, Bruno Jedynak, Jasvinder S. Kandola, Matthew McDermott, Tristan Naumann, Peter Schulam, Farah Shamout, Alexandre Yahi

This volume represents the accepted submissions from the Machine Learning for Health (ML4H) workshop at the conference on Neural Information Processing Systems (NeurIPS) 2018, held on December 8, 2018 in Montreal, Canada.

Learning Contextual Hierarchical Structure of Medical Concepts with Poincairé Embeddings to Clarify Phenotypes

1 code implementation3 Nov 2018 Brett K. Beaulieu-Jones, Isaac S. Kohane, Andrew L. Beam

Biomedical association studies are increasingly done using clinical concepts, and in particular diagnostic codes from clinical data repositories as phenotypes.

Hierarchical structure

Machine Learning for Structured Clinical Data

no code implementations21 Jul 2017 Brett K. Beaulieu-Jones

Research is a tertiary priority in the EHR, where the priorities are patient care and billing.

Decision Making

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