Sciweavers
Explore
Publications
Books
Software
Tutorials
Presentations
Lectures Notes
Datasets
Labs
Conferences
Community
Upcoming
Conferences
Top Ranked Papers
Most Viewed Conferences
Conferences by Acronym
Conferences by Subject
Conferences by Year
Tools
Sci2ools
International Keyboard
Graphical Social Symbols
CSS3 Style Generator
OCR
Web Page to Image
Web Page to PDF
Merge PDF
Split PDF
Latex Equation Editor
Extract Images from PDF
Convert JPEG to PS
Convert Latex to Word
Convert Word to PDF
Image Converter
PDF Converter
Community
Sciweavers
About
Terms of Use
Privacy Policy
Cookies
Free Online Productivity Tools
i2Speak
i2Symbol
i2OCR
iTex2Img
iWeb2Print
iWeb2Shot
i2Type
iPdf2Split
iPdf2Merge
i2Bopomofo
i2Arabic
i2Style
i2Image
i2PDF
iLatex2Rtf
Sci2ools
23
click to vote
AIME
2009
Springer
favorite
Email
discuss
report
169
views
Artificial Intelligence
»
more
AIME 2009
»
A Knowledge-Based System to Support Emergency Medical Services for Disabled Patients
14 years 6 months ago
Download
hcilab.uniud.it
This paper illustrates a knowledge based system devoted to help nurses and volunteers of Emergency Medical Services (EMS) in dealing with disabled patients during an emergency.
Luca Chittaro, Roberto Ranon, Elio Carchietti, Ago
Real-time Traffic
AIME 2009
|
Artificial Intelligence
|
Disabled Patients
|
Emergency Medical Services
|
Knowledge Based System
|
claim paper
Post Info
More Details (n/a)
Added
25 May 2010
Updated
25 May 2010
Type
Conference
Year
2009
Where
AIME
Authors
Luca Chittaro, Roberto Ranon, Elio Carchietti, Agostino Zampa, Emanuele Biasutti, Luca De Marco, Augusto Senerchia
Comments
(0)
Researcher Info
Artificial Intelligence Study Group
Computer Vision