Machine Learning Models for Predicting Surgical Case Times in Breast Cancer Procedures

Keyphrases

• Machine Learning Models 100%
• Breast Cancer 100%
• Surgical Case 100%
• Coefficient of Determination 66%
• Chilean 33%
• Estimation Method 33%
• Resource Utilization 33%
• Clinical Expertise 33%
• Accurate Estimation 33%
• Nonlinear Model 33%
• Feature Analysis 33%
• Surgeons 33%
• Operating Room Scheduling 33%
• XGBoost 33%
• Time Estimation 33%
• Ensemble Model 33%
• Machine Learning Regressors 33%
• National Cancer Institute 33%
• Operating Room Efficiency 33%
• Data-driven Insights 33%
• Oncologic 33%
• Oncologic Surgery 33%
• Regularized Regression 33%
• Hospital Resources 33%
• Current Estimation 33%
• Operational Procedures 33%
• Regressor Models 33%
• Breast Cancer Surgery 33%
• Surgical Time Prediction 33%

INIS

• machine learning 100%
• cancer 100%
• surgery 100%
• breasts 100%
• resources 33%
• hospitals 33%
• complement 16%
• comparative evaluations 16%
• data 16%
• prediction 16%
• nonlinear problems 16%
• efficiency 16%

Medicine and Dentistry

• Breast Cancer 100%
• Operating Room 100%
• Malignant Neoplasm 50%
• Oncology 50%
• Surgeon 50%
• Breast Cancer Surgery 50%
• Xgboost 50%
• Time Perception 50%