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Mendeley readers
Title |
An ontological modeling approach for abnormal states and its application in the medical domain
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Published in |
Journal of Biomedical Semantics, May 2014
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DOI | 10.1186/2041-1480-5-23 |
Pubmed ID | |
Authors |
Yuki Yamagata, Kouji Kozaki, Takeshi Imai, Kazuhiko Ohe, Riichiro Mizoguchi |
Abstract |
Recently, exchanging data and information has become a significant challenge in medicine. Such data include abnormal states. Establishing a unified representation framework of abnormal states can be a difficult task because of the diverse and heterogeneous nature of these states. Furthermore, in the definition of diseases found in several textbooks or dictionaries, abnormal states are not directly associated with the corresponding quantitative values of clinical test data, making the processing of such data by computers difficult. |
Mendeley readers
The data shown below were compiled from readership statistics for 23 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
Netherlands | 1 | 4% |
United States | 1 | 4% |
France | 1 | 4% |
Unknown | 20 | 87% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Ph. D. Student | 6 | 26% |
Student > Master | 5 | 22% |
Other | 3 | 13% |
Professor > Associate Professor | 2 | 9% |
Professor | 1 | 4% |
Other | 3 | 13% |
Unknown | 3 | 13% |
Readers by discipline | Count | As % |
---|---|---|
Computer Science | 11 | 48% |
Medicine and Dentistry | 3 | 13% |
Business, Management and Accounting | 2 | 9% |
Engineering | 2 | 9% |
Nursing and Health Professions | 1 | 4% |
Other | 2 | 9% |
Unknown | 2 | 9% |