PMID- 38355522
OWN - NLM
STAT- MEDLINE
DCOM- 20240216
LR  - 20240313
IS  - 1472-6947 (Electronic)
IS  - 1472-6947 (Linking)
VI  - 24
IP  - 1
DP  - 2024 Feb 14
TI  - Which risk factor best predicts coronary artery disease using artificial neural 
      network method?
PG  - 52
LID - 10.1186/s12911-024-02442-1 [doi]
LID - 52
AB  - BACKGROUND: Coronary artery disease (CAD) is recognized as the leading cause of 
      death worldwide. This study analyses CAD risk factors using an artificial neural 
      network (ANN) to predict CAD. METHODS: The research data were obtained from a 
      multi-center study, namely the Iran-premature coronary artery disease (I-PAD). 
      The current study used the medical records of 415 patients with CAD hospitalized 
      in Razi Hospital, Birjand, Iran, between May 2016 and June 2019. A total of 43 
      variables that affect CAD were selected, and the relevant data was extracted. 
      Once the data were cleaned and normalized, they were imported into SPSS (V26) for 
      analysis. The present study used the ANN technique. RESULTS: The study revealed 
      that 48% of the study population had a history of CAD, including 9.4% with 
      premature CAD and 38.8% with CAD. The variables of age, sex, occupation, smoking, 
      opium use, pesticide exposure, anxiety, sexual activity, and high fasting blood 
      sugar were found to be significantly different among the three groups of CAD, 
      premature CAD, and non-CAD individuals. The neural network achieved success with 
      five hidden fitted layers and an accuracy of 81% in non-CAD diagnosis, 79% in 
      premature diagnosis, and 78% in CAD diagnosis. Anxiety, acceptance, eduction and 
      gender were the four most important factors in the ANN model. CONCLUSIONS: The 
      current study shows that anxiety is a high-prevalence risk factor for CAD in the 
      hospitalized population. There is a need to implement measures to increase 
      awareness about the psychological factors that can be managed in individuals at 
      high risk for future CAD.
CI  - (c) 2024. The Author(s).
FAU - Azdaki, Nahid
AU  - Azdaki N
AD  - Cardiovascular Diseases Research Center, Birjand University of Medical Sciences, 
      Birjand, Iran.
AD  - Clinical Research Development Unit, Razi Hospital, Birjand University of Medical 
      Sciences, Birjand, Iran.
FAU - Salmani, Fatemeh
AU  - Salmani F
AD  - Department of Epidemiology and Biostatistics, School of Health, Social 
      Determinants of Health Research Center, Birjand University of Medical Sciences, 
      Birjand, Iran.
FAU - Kazemi, Toba
AU  - Kazemi T
AD  - Cardiovascular Diseases Research Center, Birjand University of Medical Sciences, 
      Birjand, Iran.
FAU - Partovi, Neda
AU  - Partovi N
AD  - Cardiovascular Diseases Research Center, Birjand University of Medical Sciences, 
      Birjand, Iran.
FAU - Bizhaem, Saeede Khosravi
AU  - Bizhaem SK
AD  - Cardiovascular Diseases Research Center, Birjand University of Medical Sciences, 
      Birjand, Iran.
FAU - Moghadam, Masomeh Noori
AU  - Moghadam MN
AD  - Cardiovascular Diseases Research Center, Birjand University of Medical Sciences, 
      Birjand, Iran.
FAU - Moniri, Yoones
AU  - Moniri Y
AD  - Clinical Research Development Unit, Razi Hospital, Birjand University of Medical 
      Sciences, Birjand, Iran.
FAU - Zarepur, Ehsan
AU  - Zarepur E
AD  - Interventional Cardiology Research Center, Cardiovascular Research Institute, 
      Isfahan University of Medical Sciences, Isfahan, Iran.
FAU - Mohammadifard, Noushin
AU  - Mohammadifard N
AD  - Pediatric Cardiovascular Research Center, Cardiovascular Research Institute, 
      Isfahan University of Medical Sciences, Isfahan, Iran.
FAU - Alikhasi, Hassan
AU  - Alikhasi H
AD  - Heart Failure Research Center, Isfahan Cardiovascular Research Institute, Isfahan 
      University of Medical Sciences, Isfahan, Iran.
FAU - Nouri, Fatemeh
AU  - Nouri F
AD  - Hypertension Research Center, Cardiovascular Research Institute, Isfahan 
      University of Medical Sciences, Isfahan, Iran.
FAU - Sarrafzadegan, Nizal
AU  - Sarrafzadegan N
AD  - Isfahan Cardiovascular Research Center, Cardiovascular Research Institute, 
      Isfahan University of Medical Sciences, Isfahan, Iran.
FAU - Moezi, Seyyed Ali
AU  - Moezi SA
AD  - Cardiovascular Diseases Research Center, Birjand University of Medical Sciences, 
      Birjand, Iran.
FAU - Khazdair, Mohammad Reza
AU  - Khazdair MR
AD  - Cardiovascular Diseases Research Center, Birjand University of Medical Sciences, 
      Birjand, Iran. khazdairMR@Bums.ac.ir.
LA  - eng
PT  - Journal Article
PT  - Multicenter Study
DEP - 20240214
PL  - England
TA  - BMC Med Inform Decis Mak
JT  - BMC medical informatics and decision making
JID - 101088682
SB  - IM
MH  - Humans
MH  - *Coronary Artery Disease/diagnosis/epidemiology
MH  - Risk Factors
MH  - Neural Networks, Computer
MH  - Smoking
MH  - Iran/epidemiology
PMC - PMC10868036
OTO - NOTNLM
OT  - Artificial neural network
OT  - Coronary artery disease
OT  - Data mining
OT  - Risk factors
COIS- The authors declare no competing interests.
EDAT- 2024/02/15 00:42
MHDA- 2024/02/16 06:42
PMCR- 2024/02/14
CRDT- 2024/02/14 23:38
PHST- 2023/06/18 00:00 [received]
PHST- 2024/01/28 00:00 [accepted]
PHST- 2024/02/16 06:42 [medline]
PHST- 2024/02/15 00:42 [pubmed]
PHST- 2024/02/14 23:38 [entrez]
PHST- 2024/02/14 00:00 [pmc-release]
AID - 10.1186/s12911-024-02442-1 [pii]
AID - 2442 [pii]
AID - 10.1186/s12911-024-02442-1 [doi]
PST - epublish
SO  - BMC Med Inform Decis Mak. 2024 Feb 14;24(1):52. doi: 10.1186/s12911-024-02442-1.