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Mendeley readers
| Title |
Terminology extraction from medical texts in Polish
|
|---|---|
| Published in |
Journal of Biomedical Semantics, May 2014
|
| DOI | 10.1186/2041-1480-5-24 |
| Pubmed ID | |
| Authors |
Małgorzata Marciniak, Agnieszka Mykowiecka |
| Abstract |
Hospital documents contain free text describing the most important facts relating to patients and their illnesses. These documents are written in specific language containing medical terminology related to hospital treatment. Their automatic processing can help in verifying the consistency of hospital documentation and obtaining statistical data. To perform this task we need information on the phrases we are looking for. At the moment, clinical Polish resources are sparse. The existing terminologies, such as Polish Medical Subject Headings (MeSH), do not provide sufficient coverage for clinical tasks. It would be helpful therefore if it were possible to automatically prepare, on the basis of a data sample, an initial set of terms which, after manual verification, could be used for the purpose of information extraction. |
Mendeley readers
The data shown below were compiled from readership statistics for 8 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 8 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 4 | 50% |
| Researcher | 2 | 25% |
| Professor > Associate Professor | 1 | 13% |
| Student > Master | 1 | 13% |
| Readers by discipline | Count | As % |
|---|---|---|
| Computer Science | 3 | 38% |
| Nursing and Health Professions | 1 | 13% |
| Chemical Engineering | 1 | 13% |
| Medicine and Dentistry | 1 | 13% |
| Engineering | 1 | 13% |
| Other | 0 | 0% |
| Unknown | 1 | 13% |