Comparing performances of intelligent classifier algorithms for predicting type of pain in patients with spinal cord injury
Journal Title: Electronic Physician - Year 2017, Vol 9, Issue 7
Abstract
BACKGROUND AND AIM: In this study, performances of classification techniques were compared in order to predict type of pain in patients with spinal cord injury. Pain is one of the main problems in people with spinal cord injury. Identifying the optimal classification technique will help improve decision support systems in clinical settings. METHODS: A descriptive retrospective analysis was performed in 253 patients. We compared performances of "Bayesian Networks", "Decision Tree", neural networks: "Multi-Layer Perceptron" (MLP), and "Support Vector Machines" (SVM). Predictor variables were collected in data set in SCI patients referred to Shefa Neuroscience Research Center, Tehran, Iran from 2010 through 2016. Performances of classification techniques were compared using "Accuracy", "Sensitivity or True Positive Rate" (TPR), "Specificity or True Negative Rate" (SPC), "Positive Predictive Value" (PPV), "Negative Predictive Value" (NPV). RESULTS: MLP with Boosting technique was found to have the best accuracy (91%), best sensitivity (89%), best specificity (95%) best PPV (91%), and best NPV (96%) to predict spinal cord injury in this data set, given its good classificatory performance. CONCLUSION: Computer-aided decision support systems (CAD) are dependent on a wide range of classification methods such as statistical methods, Bayesian methods, deductive classifiers based on the state or case, decision-making trees and neural networks: Multi-Layer Perceptron. Neural network classifiers especially, are very popular choices for medical decision-making, with proven effectiveness in the clinical field
Authors and Affiliations
Nasrolah Nasr HeidarAbadi, Laleh Hakemi, Pirhossein Kolivand, Reza Safdari, Marjan Ghazi Saeidi
Keywords
Related Articles
- EP ID EP323603
- DOI 10.19082/4847
- Views 65
- Downloads 0
Prevalence and Characteristics of Precore Mutation in Iran and Its Correlation with Genotypes of Hepatitis B
INTRODUCTION: Mutation of the HBV precore gene prevents the production of HBeAg, which is an important target for immune responses. Distribution of this mutation varies along with frequency of HBV genotypes in accordance...
Nurses views on accepting the creation of a nurses’ health monitoring system
BACKGROUND: Nurses' health is often accompanied by various dangers due to the nature of their career. Therefore, it is required to monitor their health. Based on designing any system, users' views should be investigated...
The Relation between Perceived Social Support and Anxiety in Patients under Hemodialysis.
The increase in the number of patients under hemodialysis treatment is a universal problem. With regard to the fact that there have been few social-psychological studies conducted on patients under hemodialysis treatment...
Exploring the perception of nursing students about consequences of reflection in clinical settings
BACKGROUND: Reflection on practical experiences is a key element that enables students to recognize their own strengths and weaknesses and develop nursing skills. Whilst reflection may enhance students' learning in pract...
Correlation between medication errors with job satisfaction and fatigue of nurses
BACKGROUND: Medication errors which can cause several medical malfunctions, have been in the spotlight recently. Job satisfaction and fatigue seems to be related to the increase of medication errors in nursing. OBJECTIV...