title: hs-CRP is strongly associated with coronary heart disease (CHD): A data mining approach using decision tree algorithm.
abstract: OBJECTIVE
  Coronary heart disease (CHD) is an important public health problem globally. Algorithms incorporating the assessment of clinical biomarkers together with several established traditional risk factors can help clinicians to predict CHD and support clinical decision making with respect to interventions. Decision tree (DT) is a data mining model for extracting hidden knowledge from large databases. We aimed to establish a predictive model for coronary heart disease using a decision tree algorithm.
  
  
  METHODS
  Here we used a dataset of 2346 individuals including 1159 healthy participants and 1187 participant who had undergone coronary angiography (405 participants with negative angiography and 782 participants with positive angiography). We entered 10 variables of a total 12 variables into the DT algorithm (including age, sex, FBG, TG, hs-CRP, TC, HDL, LDL, SBP and DBP).
  
  
  RESULTS
  Our model could identify the associated risk factors of CHD with sensitivity, specificity, accuracy of 96%, 87%, 94% and respectively. Serum hs-CRP levels was at top of the tree in our model, following by FBG, gender and age.
  
  
  CONCLUSIONS
  Our model appears to be an accurate, specific and sensitive model for identifying the presence of CHD, but will require validation in prospective studies.
authors.affiliation: Metabolic Syndrome Research Center, School of Medicine, Mashhad University of Medical Sciences, 99199-91766 Mashhad, Iran ; Department of New Sciences and Technologies, School of Medicine, Mashhad University of Medical Sciences, Mashhad, Iran.
authors.forename: Maryam
authors.initials: M
authors.lastname: Tayefi
authors.affiliation: Department of Health Education and Health Promotion, School of Health, Management and Social Determinants of Health Research Center, Mashhad University of Medical Sciences, Mashhad, Iran.
authors.forename: Mohammad
authors.initials: M
authors.lastname: Tajfard
authors.affiliation: Neurogenic Inflammation Research Center, Department of New Sciences and Technologies, School of Medicine, Mashhad University of Medical Sciences, Mashhad, Iran.
authors.forename: Sara
authors.initials: S
authors.lastname: Saffar
authors.affiliation: Department of Biology, Biochemistry Unit, Alzahra University, Tehran, Iran.
authors.forename: Parichehr
authors.initials: P
authors.lastname: Hanachi
authors.affiliation: Medical Toxicology and Drug Abuse Research Center (MTDRC), Birjand University of Medical Sciences, Birjand, Iran.
authors.forename: Ali Reza
authors.initials: AR
authors.lastname: Amirabadizadeh
authors.affiliation: Department of Biostatistics and Epidemiology, School of Health, Management and Social Determinants of Health Research Center, Mashhad University of Medical Sciences, Mashhad, Iran.
authors.forename: Habibollah
authors.initials: H
authors.lastname: Esmaeily
authors.affiliation: Department of Biostatistics and Epidemiology, School of Health, Management and Social Determinants of Health Research Center, Mashhad University of Medical Sciences, Mashhad, Iran.
authors.forename: Ali
authors.initials: A
authors.lastname: Taghipour
authors.affiliation: Division of Medical Education, Brighton & Sussex Medical School, Falmer, Brighton, Sussex BN1 9PH, UK.
authors.forename: Gordon A
authors.initials: GA
authors.lastname: Ferns
authors.affiliation: Cardiovascular Research Center, School of Medicine, Mashhad University of Medical Sciences, Mashhad, Iran. Electronic address: Mouhebatim@mums.ac.ir.
authors.forename: Mohsen
authors.initials: M
authors.lastname: Moohebati
authors.affiliation: Metabolic Syndrome Research Center, School of Medicine, Mashhad University of Medical Sciences, 99199-91766 Mashhad, Iran ; Department of New Sciences and Technologies, School of Medicine, Mashhad University of Medical Sciences, Mashhad, Iran; Cardiovascular Research Center, School of Medicine, Mashhad University of Medical Sciences, Mashhad, Iran. Electronic address: ghayourm@mums.ac.ir.
authors.forename: Majid
authors.initials: M
authors.lastname: Ghayour-Mobarhan
mesh_terms: D000328:Adult; D000465:Algorithms; D002097:C-Reactive Protein / Q000378:metabolism*; D016022:Case-Control Studies; D003327:Coronary Disease / Q000453:epidemiology* / Q000378:metabolism; D057225:Data Mining; D003663:Decision Trees; D005260:Female; D006801:Humans; D008297:Male; D008875:Middle Aged; D012680:Sensitivity and Specificity
chemical_list: D002097:C-Reactive Protein
keywords: Coronary artery disease; Data mining; Decision tree; hs-CRP