Diagnosis of polycystic ovary syndrome through different machine learning and feature selection techniques

Medicine & Life Sciences

• Machine Learning 82%
• Polycystic Ovary Syndrome 81%
• Datasets 34%
• Computer Neural Networks 19%
• Forests 17%
• Health 14%
• Fertility 13%
• Early Diagnosis 11%
• Therapeutics 2%

Engineering & Materials Science

• Feature extraction 56%
• Machine learning 53%
• Classifiers 51%
• Random forests 21%
• Learning algorithms 17%
• Adaptive boosting 12%
• Medical problems 11%
• Multilayer neural networks 10%
• Health 7%

Chemistry

• Classifier 100%
• Statistical Ensemble 51%
• Multilayer 9%
• Time 3%