Paper Info
Title
A Case-Based Approach To Nosocomial Infection Detection
Abstract
The nosocomial infections are a growing concern because they affect a large number of people and they increase the admission time in healthcare facilities. Additionally, its diagnosis is very tricky, requiring multiple medical exams. So, this work is focused on the development of a clinical decision support system to prevent these events from happening. The proposed solution is unique once it caters for the explicit treatment of incomplete, unknown, or even contradictory information under a logic programming basis, that to our knowledge is something that happens for the first time.
Year
DOI
Venue
2016
10.1007/978-3-319-39384-1_14
ARTIFICIAL INTELLIGENCE AND SOFT COMPUTING, (ICAISC 2016), PT II
Keywords
Field
DocType
Nosocomial infection, Healthcare, Knowledge representation and reasoning, Logic programming, Case-based reasoning, Similarity analysis
Health care,Similarity analysis,Knowledge representation and reasoning,Computer science,Artificial intelligence,Logic programming,Clinical decision support system,Case-based reasoning,Machine learning
Conference
Volume
ISSN
Citations 
9693
0302-9743
1
PageRank 
References 
Authors
0.38
10
6
Name
Order
Citations
PageRank
Ricardo Faria110.72
Henrique Vicente22416.93
António Abelha324357.30
Manuel Filipe Santos436068.91
José Machado520734.92
José Neves658075.09