Comparison of the Performance of Log-logistic Regression and Artificial Neural Networks for Predicting Breast Cancer Relapse
نویسندگان
چکیده
منابع مشابه
Comparison of the performance of log-logistic regression and artificial neural networks for predicting breast cancer relapse.
BACKGROUND Breast cancer is the most common cancers in female populations. The exact cause is not known, but is most likely to be a combination of genetic and environmental factors. Log-logistic model (LLM) is applied as a statistical method for predicting survival and it influencing factors. In recent decades, artificial neural network (ANN) models have been increasingly applied to predict sur...
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Background: We designed an algorithmic model based on the logistic regression analysis and a non-algorithmic model based on the Artificial Neural Network (ANN). Materials and methods: The ability of these models was compared together in clinical application to differentiate malignant from benign breast tumors in a study group of 161 patients' records. Each patient’s record consisted of 6 subjec...
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Predicting the occurrence of disease outbreaks in aquacultural farms can be of considerable value to the long-term sustainable development of the industry. Prior research on disease prediction has essentially depended upon traditional statistical models with varying degrees of prediction accuracy. Furthermore, the application of these models in sustainable aquaculture development and in control...
متن کاملA Comparison of Logistic Regression Model and Artificial Neural Networks in Predicting of Student’s Academic Failure
BACKGROUND AND OBJECTIVE Artificial Neural Networks (ANNs) have recently been applied in situations where an analysis based on the logistic regression (LR) is a standard statistical approach; direct comparisons of the results, however, are seldom attempted. In this study, we compared both logistic regression models and feed-forward neural networks on the academic failure data set. METHODS The...
متن کاملcomparison of logistic regression and neural network models in predicting the outcome of biopsy in breast cancer from mri findings
background: we designed an algorithmic model based on the logistic regression analysis and a non-algorithmic model based on the artificial neural network (ann). materials and methods: the ability of these models was compared together in clinical application to differentiate malignant from benign breast tumors in a study group of 161 patients' records. each patient’s record consisted of 6 s...
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ژورنال
عنوان ژورنال: Asian Pacific Journal of Cancer Prevention
سال: 2014
ISSN: 1513-7368
DOI: 10.7314/apjcp.2014.15.14.5883