A Fuzzy Rule-Based Decision Support System for Cardiovascular Risk Assessment

In medical problems both the information and the reasoning used by clinicians for drawing conclusions about patients’ health are inherently uncertain and vague. Fuzzy logic is a powerful tool for representing and handling this uncertainty, leading to fuzzy systems that can support decisions in medic...

Full description

Saved in:
Bibliographic Details
Published inFuzzy Logic and Applications Vol. 11291; pp. 97 - 108
Main Authors Casalino, Gabriella, Castellano, Giovanna, Castiello, Ciro, Pasquadibisceglie, Vincenzo, Zaza, Gianluca
Format Book Chapter
LanguageEnglish
Published Switzerland Springer International Publishing AG 2019
Springer International Publishing
SeriesLecture Notes in Computer Science
Subjects
Cardiovascular disease
Decision Support System (DSS)
Fuzzy logic
Intelligent Data Analisys (IDA)
Online AccessGet full text
ISBN9783030125431
3030125432
ISSN0302-9743
1611-3349
DOI10.1007/978-3-030-12544-8_8

Cover

More Information
Summary:In medical problems both the information and the reasoning used by clinicians for drawing conclusions about patients’ health are inherently uncertain and vague. Fuzzy logic is a powerful tool for representing and handling this uncertainty, leading to fuzzy systems that can support decisions in medical diagnosis. In this work we propose a fuzzy rule-based system to support the expert in decision making for cardiovascular diseases that are of particular interest due to their obvious medical diagnostic importance. Preliminary experimental results on both healthy and ill people show the effectiveness of the fuzzy system in simulating the decision of the expert.
ISBN:9783030125431
3030125432
ISSN:0302-9743
1611-3349
DOI:10.1007/978-3-030-12544-8_8