Detection of COVID-19 Patients Using Machine Learning Techniques: A Nationwide Chilean Study

Keyphrases

• Chilean 100%
• Machine Learning Techniques 100%
• COVID-19 Patients 100%
• COVID-19 Detection 100%
• Comorbidity 66%
• Support Vector Machine 66%
• F1 Score 66%
• Decision Tree Forest 66%
• Recall Accuracy 66%
• Chile 33%
• Infected Patients 33%
• Health Professionals 33%
• Medical Records 33%
• Confirmed Patients 33%
• Random Forest 33%
• COVID-19 33%
• Epidemiological Surveillance 33%
• COVID-19 Pandemic 33%
• Patients with COVID-19 33%
• Precision-recall 33%
• Machine Decisions 33%
• Large Volumes of Data 33%
• Surveillance System 33%
• Random Forest Method 33%
• Health Decision-making 33%

Computer Science

• Machine Learning Technique 100%
• Decision Trees 66%
• Random Decision Forest 66%
• Support Vector Machine 66%
• Decision-Making 33%
• Health Professionals 33%
• Controlled Data 33%