Deep Learning Natural Language Processing Successfully Predicts the Cerebrovascular Cause of Transient Ischemic Attack-Like Presentations. [electronic resource]

By:

Bacchi, Stephen

Contributor(s):

Oakden-Rayner, Luke
Zerner, Toby
Kleinig, Timothy
Patel, Sandy
Jannes, Jim

Producer: 20191125Description: 758-760 p. digitalISSN:

1524-4628

Subject(s):

Aged
Aged, 80 and over
Area Under Curve
Cerebrovascular Disorders -- complications
Deep Learning
False Positive Reactions
Female
Humans
Ischemic Attack, Transient -- classification
Machine Learning
Magnetic Resonance Imaging
Male
Middle Aged
Natural Language Processing
Neural Networks, Computer
Predictive Value of Tests
Risk Assessment
Treatment Outcome
Triage

Online resources:

Available from publisher's website

In: Stroke vol. 50

Tags from this library: No tags from this library for this title. Log in to add tags.

Star ratings

Cancel rating. Average rating: 0.0 (0 votes)

Holdings ( 0 )
Title notes ( 1 )
Comments ( 0 )

No physical items for this record

Publication Type: Journal Article

There are no comments on this title.

Browse results Close

Back to results

1 A Low-Delay Lightweight Recurrent Neural Network (LLRNN) for Rotating Machinery Fault Diagnosis.
by Liu, Wenkai
2 Development of a SYBR-based real-time PCR to detect rabbit hemorrhagic disease virus (RHDV) and analyze its tissue distribution in experimentally infected rabbits.
by Liu, Wenkai
3 A Lighted Deep Convolutional Neural Network Based Fault Diagnosis of Rotating Machinery.
by Ma, Shangjun
4 Antigenic characteristics of glycosylated protein 3 of highly pathogenic porcine reproductive and respiratory syndrome virus.
by Wang, Xinglong
5 Astrocytes and neurons in locus coeruleus mediate restraint water immersion stress-induced gastric mucosal damage through the ERK1/2 signaling pathway.
by Fan, Fangcheng
6 Ventromedial hypothalamic nucleus in regulation of stress-induced gastric mucosal injury in rats.
by Sun, Haiji
7 Shape Memory Properties and Enzymatic Degradability of Poly(ε-caprolactone)-Based Polyurethane Urea Containing Phenylalanine-Derived Chain Extender.
by Wang, Rong
8 Post-Crosslinked Polyurethanes with Excellent Shape Memory Property.
by Liu, Wenkai
9 Establishment of a porcine model of indomethacin-induced intestinal injury.
by Yi, Dan
10 Ivermectin inhibits DNA polymerase UL42 of pseudorabies virus entrance into the nucleus and proliferation of the virus in vitro and vivo.
by Lv, Changjie
11 Newcastle disease virus V protein inhibits apoptosis in DF-1 cells by downregulating TXNL1.
by Wang, Caiying

Deep Learning Natural Language Processing Successfully Predicts the Cerebrovascular Cause of Transient Ischemic Attack-Like Presentations.

APA

Bacchi S., Oakden-Rayner L., Zerner T., Kleinig T., Patel S. & Jannes J. (20191125). Deep Learning Natural Language Processing Successfully Predicts the Cerebrovascular Cause of Transient Ischemic Attack-Like Presentations. : Stroke.

Chicago

Bacchi Stephen, Oakden-Rayner Luke, Zerner Toby, Kleinig Timothy, Patel Sandy and Jannes Jim. 20191125. Deep Learning Natural Language Processing Successfully Predicts the Cerebrovascular Cause of Transient Ischemic Attack-Like Presentations. : Stroke.

Harvard

Bacchi S., Oakden-Rayner L., Zerner T., Kleinig T., Patel S. and Jannes J. (20191125). Deep Learning Natural Language Processing Successfully Predicts the Cerebrovascular Cause of Transient Ischemic Attack-Like Presentations. : Stroke.

MLA

Bacchi Stephen, Oakden-Rayner Luke, Zerner Toby, Kleinig Timothy, Patel Sandy and Jannes Jim. Deep Learning Natural Language Processing Successfully Predicts the Cerebrovascular Cause of Transient Ischemic Attack-Like Presentations. : Stroke. 20191125.

Print
Cite
Add to your cart (remove)
Save record
BIBTEX Dublin Core MARCXML MARC (non-Unicode/MARC-8) MARC (Unicode/UTF-8) MARC (Unicode/UTF-8, Standard) MODS (XML) RIS ISBD
More searches

Search for this title in:
Other Libraries (WorldCat) Other Databases (Google Scholar) Online Stores (Bookfinder.com) Open Library (openlibrary.org)

Exporting to Dublin Core...

Simple DC-RDF

OAI-DC

SRW-DC