Extracting medical events from clinical records using conditional random fields and parameter tuning for hidden Markov models

Mathematics

• Conditional Random Fields 100%
• Random Parameters 73%
• Parameter Tuning 72%
• Markov Model 63%
• Event Detection 35%
• Viterbi Algorithm 32%
• Tagging 30%
• Classification Algorithm 28%
• Corpus 26%
• Feature Selection 26%
• Speech 25%
• Modality 23%
• Optimization Techniques 22%
• Preprocessing 22%
• Classifier 22%
• Machine Learning 21%
• Community 20%
• Text 18%
• Model-based 17%
• Evaluate 15%
• Sufficient 14%
• Evaluation 14%

Engineering & Materials Science

• Hidden Markov models 59%
• Tuning 45%
• Viterbi algorithm 38%
• Feature extraction 22%
• Machine learning 21%
• Classifiers 20%