Predicting Breast Cancer Recurrence using Data Mining Techniques

Using data mining techniques for predicting the survival rate of breast cancer patients: a review article

This review was conducted between December 2018 and March 2019 at Isfahan University of Medical Sciences. A review of various studies revealed what data mining techniques to predict the probability of survival, what risk factors for these predictions, what criteria for evaluating data mining techniques, and finally what data sources for it have been used to predict the surv...

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Detection of Breast Cancer Progress Using Adaptive Nero Fuzzy Inference System and Data Mining Techniques

Prediction, diagnosis, recovery and recurrence of the breast cancer among the patients are always one of the most important challenges for explorers and scientists. Nowadays by using of the bioinformatics sciences, these challenges can be eliminated by using of the previous information of patients records. In this paper has been used adaptive nero fuzzy inference system and data mining techniqu...

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Using Three Machine Learning Techniques for Predicting Breast Cancer Recurrence

Introduction Breast cancer (BC) is the most common cancer in women, affecting about 10% of all women at some stages of their life. In recent years, the incidence rate keeps increasing and data show that the survival rate is 88% after five years from diagnosis and 80% after 10 years from diagnosis [1]. Early prediction of breast cancer is one of the most crucial works in the follow-up process. D...

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Using Three Machine Learning Techniques for Predicting Breast Cancer Recurrence

Introduction Breast cancer (BC) is the most common cancer in women, affecting about 10% of all women at some stages of their life. In recent years, the incidence rate keeps increasing and data show that the survival rate is 88% after five years from diagnosis and 80% after 10 years from diagnosis [1]. Early prediction of breast cancer is one of the most crucial works in the follow-up process. D...

متن کامل

Using Three Machine Learning Techniques for Predicting Breast Cancer Recurrence

Introduction Breast cancer (BC) is the most common cancer in women, affecting about 10% of all women at some stages of their life. In recent years, the incidence rate keeps increasing and data show that the survival rate is 88% after five years from diagnosis and 80% after 10 years from diagnosis [1]. Early prediction of breast cancer is one of the most crucial works in the follow-up process. D...

متن کامل

Predicting Breast Cancer Recurrence using Data Mining Techniques

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منابع مشابه

Using data mining techniques for predicting the survival rate of breast cancer patients: a review article

Detection of Breast Cancer Progress Using Adaptive Nero Fuzzy Inference System and Data Mining Techniques

Using Three Machine Learning Techniques for Predicting Breast Cancer Recurrence

Using Three Machine Learning Techniques for Predicting Breast Cancer Recurrence

Using Three Machine Learning Techniques for Predicting Breast Cancer Recurrence

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