7 citations · 8 across the 2 of their papers we have counts for
4 papers
Exemplar Auditing for Multi-Label Biomedical Text Classification
Allen Schmaltz, Andrew Beam
Many practical applications of AI in medicine consist of semi-supervised discovery: The investigator aims to identify features of interest at a resolution more fine-grained than th…
Machine Learning for Health (ML4H) Workshop at NeurIPS 2018
Natalia Antropova, Andrew L. Beam, Brett K. Beaulieu-Jones +15
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…
Learning Contextual Hierarchical Structure of Medical Concepts with Poincairé Embeddings to Clarify Phenotypes
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. Clinical concepts ca…
Auditory Brainstem Response in Infants and Children with Autism: A Meta-Analysis
Oren Miron, Andrew L. Beam, Isaac S. Kohane
Infants with autism were recently found to have prolonged Auditory Brainstem Response (ABR); however, at older ages, findings are contradictory. We compared ABR differences between…