New Results
Semi-Supervised Learning of the Electronic Health Record with Denoising Autoencoders for Phenotype Stratification
View ORCID ProfileBrett K. Beaulieu-Jones, View ORCID ProfileCasey S. Greene
doi: https://doi.org/10.1101/039800
Brett K. Beaulieu-Jones
1Graduate Group in Genomics and Computational Biology, Computational Genetics Lab, Institute for Biomedical Informatics, University of Pennsylvania
Casey S. Greene
2Department of Systems Pharmacology and Translational Therapeutics, Institute for Biomedical Informatics, Institute for Translational Medicine and Therapeutics, University of Pennsylvania
Article usage
Posted February 18, 2016.
Semi-Supervised Learning of the Electronic Health Record with Denoising Autoencoders for Phenotype Stratification
Brett K. Beaulieu-Jones, Casey S. Greene
bioRxiv 039800; doi: https://doi.org/10.1101/039800
Subject Area
Subject Areas
- Biochemistry (11725)
- Bioengineering (8728)
- Bioinformatics (29135)
- Biophysics (14940)
- Cancer Biology (12052)
- Cell Biology (17363)
- Clinical Trials (138)
- Developmental Biology (9408)
- Ecology (14147)
- Epidemiology (2067)
- Evolutionary Biology (18272)
- Genetics (12223)
- Genomics (16773)
- Immunology (11844)
- Microbiology (28027)
- Molecular Biology (11564)
- Neuroscience (60841)
- Paleontology (451)
- Pathology (1864)
- Pharmacology and Toxicology (3232)
- Physiology (4940)
- Plant Biology (10405)
- Synthetic Biology (2878)
- Systems Biology (7335)
- Zoology (1642)