Extracting Diagnoses and Investigation Results from Unstructured Text in Electronic Health Records by Semi-Supervised Machine Learning

Gelijkaardige items

• Extracting diagnoses and investigation results from unstructured text in electronic health records by semi-supervised machine learning.
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• The freetext matching algorithm: a computer program to extract diagnoses and causes of death from unstructured text in electronic health records
  door: Shah, Anoop D, et al.
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• Machine learning models in electronic health records can outperform conventional survival models for predicting patient mortality in coronary artery disease.
  door: Andrew J Steele, et al.
  Gepubliceerd in: (2018-01-01)
• Machine learning models in electronic health records can outperform conventional survival models for predicting patient mortality in coronary artery disease
  door: Steele, Andrew J., et al.
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• Evaluation of Semantic Web Technologies for Storing Computable Definitions of Electronic Health Records Phenotyping Algorithms
  door: Papež, Václav, et al.
  Gepubliceerd in: (2018)