Application of Machine Learning Algorithms to Predict Clinically Meaningful Improvement After Arthroscopic Anterior Cruciate Ligament Reconstruction

Medicine and Dentistry

• Anterior Cruciate Ligament Reconstruction 100%
• Minimal Clinically Important Difference 80%
• Logistic Regression Analysis 60%
• Body Mass Index 40%
• Contralateral 40%
• Medial Collateral Ligament 40%
• Population Research 20%
• Case-Control Study 20%
• Patient Care 20%
• Physical Examination 20%
• Patient Counseling 20%
• Range of Motion 20%
• Nonoxinol 9 20%
• Knee Surgery 20%
• Cross-Validation 20%
• Surgeon 20%
• Sports Medicine 20%

Neuroscience

• Machine Learning Algorithm 100%
• Body Mass Index 66%
• Support Vector Machine 33%
• Physical Examination 33%
• Neural Network 33%
• Nonoxynol-9 33%

Biochemistry, Genetics and Molecular Biology

• Reconstruction 100%
• Body Mass 40%
• Case-Control Study 20%
• Population Research 20%
• Random Forest 20%
• Support Vector Machine 20%
• Range of Motion 20%