Explanatory Analysis of a Machine Learning Model to Identify Hypertrophic Cardiomyopathy Patients from EHR Using Diagnostic Codes

Business & Economics

• Hypertrophic Cardiomyopathy 100%
• Learning Model 67%
• Electronic Health Record 60%
• Machine Learning 59%
• Diagnostics 42%
• Imaging 8%
• Echocardiography 7%
• Practice Guidelines 5%
• Heart Disease 5%
• Magnetic Resonance Imaging 5%
• Medical Records 4%
• Principal Component Analysis 4%
• Phenotype 4%
• Risk Factors 4%
• Multidimensional Scaling 4%
• Gold Standard 4%
• Data Warehouse 4%
• Limited Attention 4%
• Young Adults 3%
• Cohort 3%
• Labeling 3%
• Visualization 3%
• Decision Making 3%
• Physicians 2%
• Performance 1%

Medicine & Life Sciences

• Hypertrophic Cardiomyopathy 51%
• Machine Learning 51%
• Electronic Health Records 46%
• Decision Making 5%
• Data Warehousing 5%
• Forests 4%
• Sudden Cardiac Death 3%
• Principal Component Analysis 3%
• Diagnostic Imaging 3%
• Practice Guidelines 3%
• Inborn Genetic Diseases 3%
• Echocardiography 2%
• Publications 2%
• Medical Records 2%
• Heart Diseases 2%
• Young Adult 2%
• Magnetic Resonance Imaging 2%
• Physicians 2%
• Phenotype 2%

Engineering & Materials Science

• Health 33%
• Machine learning 33%
• Imaging techniques 20%
• Echocardiography 13%
• Data warehouses 10%
• Random forests 9%
• Magnetic resonance 9%
• Labeling 8%
• Principal component analysis 8%
• Visualization 6%
• Decision making 6%