Research Article

Decision Support System to Risk Stratification in the Acute Coronary Syndrome Using Fuzzy Logic

Table 1

Some of the existing approaches for RS.

S. no.ReferenceMethod usedPaperYear of paper

1[25]Coronary disease-ACS: RSReport2000
2[17]RS following ACS through electrocardiography for measuring variability in morphologyConference2008
3[26]Rapid RS in suspected ACS using serial multiple cardiac biomarkers: a pilot studyJournal2008
4[20]Additive value of diabetes and peripheral arterial disease in the RS of patients admitted after an ACS: a subanalysis of the PAMISCA studyJournal2009
5[14]Comparison of two clinical scoring systems for emergency department RS of suspected ACSJournal2011
6[9]A comparison of nonsymmetric entropy-based classification trees and support vector machine for cardiovascular RSConference2011
7[13]Cardiovascular RS with heart rate topicsConference2012
8[15]Performance of RS for ACS with two-hour sensitive Troponin Assay ResultsJournal2014
9[16]RS in non-ST elevation ACS: risk scores, biomarkers, and clinical judgmentJournal2015
10[21]Computational cardiology and RS for sudden cardiac death: one of the grand challenges for cardiology in the 21st centuryJournal2016
11[27]RS in ACS: graced by a new score?Journal2017
12[28]RS after ACS: scores, scores, and yet another scoreJournal2017
13[24]Risk of arrhythmic death in ischemic heart disease: a prospective, controlled, observer-blind RS over 10 yearsJournal2017
14[5]Risk of ACS in patients with cervical spondylosisJournal2018
15[23]Risk factors for ACS in patients below the age of 40 yearsJournal2018
16[22]ProACS risk score: an early and simple score for RS of patients with ACSJournal2017
18[29]A new RS tool for women with ACSJournal2018
19[19]RS of acute pulmonary embolism based on clinical parameters, H-FABP, and multidetector CTJournal2018