A globally-applicable disease ontology for biosurveillance; Anthology of Biosurveillance Diseases (ABD)
August 25, 2016 Β· Declared Dead Β· π arXiv.org
"No code URL or promise found in abstract"
Evidence collected by the PWNC Scanner
Authors
A. R. Daughton, R. Priedhorsky, G. Fairchild, N. Generous, A. Hengartner, E. Abeyta, N. Velappan, A. Lillo, K. Stark, A. Deshpande
arXiv ID
1609.05774
Category
q-bio.QM
Cross-listed
cs.AI,
cs.DL,
cs.IR
Citations
1
Venue
arXiv.org
Last Checked
3 months ago
Abstract
Biosurveillance, a relatively young field, has recently increased in importance because of its relevance to national security and global health. Databases and tools describing particular subsets of disease are becoming increasingly common in the field. However, a common method to describe those diseases is lacking. Here, we present the Anthology of Biosurveillance Diseases (ABD), an ontology of infectious diseases of biosurveillance relevance.
Community Contributions
Found the code? Know the venue? Think something is wrong? Let us know!
π Similar Papers
In the same crypt β q-bio.QM
R.I.P.
π»
Ghosted
R.I.P.
π»
Ghosted
DeepConv-DTI: Prediction of drug-target interactions via deep learning with convolution on protein sequences
R.I.P.
π»
Ghosted
ProtVec: A Continuous Distributed Representation of Biological Sequences
R.I.P.
π»
Ghosted
A Perspective on Deep Imaging
R.I.P.
π
404 Not Found
Deep learning in bioinformatics: introduction, application, and perspective in big data era
R.I.P.
π»
Ghosted
Data-driven Advice for Applying Machine Learning to Bioinformatics Problems
Died the same way β π» Ghosted
R.I.P.
π»
Ghosted
Federated Learning: Strategies for Improving Communication Efficiency
R.I.P.
π»
Ghosted
In-Datacenter Performance Analysis of a Tensor Processing Unit
R.I.P.
π»
Ghosted
Deep Convolutional Neural Networks for Computer-Aided Detection: CNN Architectures, Dataset Characteristics and Transfer Learning
R.I.P.
π»
Ghosted