A review of automatic phenotyping approaches using electronic health records

Computer Science

• Electronics 83%
• Records 66%
• Natural Language Processing 50%
• Database 16%
• Algorithms 16%
• Accuracy 16%
• Open Source 16%
• Availability 16%
• Machine Learning Technique 16%
• Critical Evaluation 16%
• Observational Research 16%
• Data Record 16%
• Processing Algorithm 16%
• High Throughput 16%
• Subject Heading 16%
• Narrative Text 16%

Biochemistry, Genetics and Molecular Biology

• Phenotype 100%
• Extract 33%
• Development 16%
• Extraction 16%
• Exercise 16%
• Attention 16%
• Data Base 16%
• Accuracy 16%
• Aptitude 16%
• Medline 16%
• Medical Subject Headings 16%