Machine learning vs. classic statistics for the prediction of IVF outcomes

Keyphrases

• Machine Learning 100%
• IVF Outcome 100%
• Machine Learning Algorithms 75%
• Support Vector Machine 75%
• Neural Network 50%
• Logistic Regression 50%
• Clinical Data 50%
• Logistic Regression Model 50%
• Live Birth 50%
• Oocyte number 50%
• Clinical Pregnancy 50%
• Mature Oocyte 50%
• High-quality Embryo 50%
• Beta Human Chorionic Gonadotropin (β-HCG) 50%
• Medical Center 25%
• Artificial Neural Network 25%
• Machine Learning Techniques 25%
• Fertilized Oocytes 25%
• Clinical Features 25%
• Counseling 25%
• University-affiliated 25%
• Appropriate Treatment 25%
• Treatment Strategy 25%
• IVF Cycles 25%
• Fertility Specialist 25%
• Aging Characteristics 25%
• Two-machine 25%
• Age Data 25%
• Human-machine Systems 25%

Medicine and Dentistry

• Oocyte 100%
• Logistic Regression Analysis 80%
• Body Mass Index 60%
• Childbirth 40%
• Embryo Quality 40%
• Statistical Modeling 20%
• Clinical Feature 20%
• Population Research 20%