629: MFMU Calculator versus machine learning techniques for predicting VBAC success

AB016. Which laser works best for benign prostatic hyperplasia?

The advantages offered by lasers compared to older technologies for endoscopic surgery for symptomatic benign prostate hyperplasia (BPH) are reviewed. Laser treatments for the endoscopic management of patients with bladder outlet obstruction (BOO) resulting from BPH can be divided into three basic techniques. These techniques are vaporisation (removal of tissue), resection of tissue (excision o...

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

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

Machine Learning Techniques for Predicting Bacillus subtilis Promoters

One of the most important goals of bioinformatics is the ability to identify genes in uncharacterized DNA sequences. Improved promoter prediction methods can be one step towards developing more reliable ab initio gene prediction methods. In this paper, we present an empirical comparison of machine learning techniques such as Naive Bayes, Decision Trees, Support Vector Machines and Neural Networ...

متن کامل

629: MFMU Calculator versus machine learning techniques for predicting VBAC success – Which model works best?

نویسندگان

چکیده

منابع مشابه

AB016. Which laser works best for benign prostatic hyperplasia?

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

Machine Learning Techniques for Predicting Bacillus subtilis Promoters

ژورنال