ABSTRACT
Taking Physician Data Query (PDQ(R)),which is provided for doctors and patients by National Cancer Institute (NCI),for example,the paper carries out comparative analysis on professional and public editions of PDQ from the perspective of vocabulary and syntax to make clear the significant statistical difference between the knowledge bases facing patients and doctors.
ABSTRACT
Around the ontology construction,diagnosis rule construction,ontology inference mechanism and so on in the process of ontology-based construction of medical knowledge base,the paper states respectively the involved key technologies and methods in each link,lists the examples of the construction of the domain knowledge base through relevant technologies,explores the best method of constructing the medical domain knowledge base.
ABSTRACT
In April 2012, the National Institutes of Health organized a two-day workshop entitled 'Natural Language Processing: State of the Art, Future Directions and Applications for Enhancing Clinical Decision-Making' (NLP-CDS). This report is a summary of the discussions during the second day of the workshop. Collectively, the workshop presenters and participants emphasized the need for unstructured clinical notes to be included in the decision making workflow and the need for individualized longitudinal data tracking. The workshop also discussed the need to: (1) combine evidence-based literature and patient records with machine-learning and prediction models; (2) provide trusted and reproducible clinical advice; (3) prioritize evidence and test results; and (4) engage healthcare professionals, caregivers, and patients. The overall consensus of the NLP-CDS workshop was that there are promising opportunities for NLP and CDS to deliver cognitive support for healthcare professionals, caregivers, and patients.
