Authors:
Francisco Vaz
1
;
Rodrigo Rocha Silva
2
and
Jorge Bernardino
3
Affiliations:
1
Polytechnic Institute of Coimbra - ISEC, Portugal
;
2
São Paulo State Technological College and University of Coimbra, Brazil
;
3
Polytechnic Institute of Coimbra - ISEC and University of Coimbra, Portugal
Keyword(s):
Ontology-based Clinical Decision Support System, Domain Ontologies, Knowledge Engineering.
Related
Ontology
Subjects/Areas/Topics:
Artificial Intelligence
;
Business Analytics
;
Cardiovascular Technologies
;
Computing and Telecommunications in Cardiology
;
Data Engineering
;
Decision Support Systems
;
Decision Support Systems, Remote Data Analysis
;
Health Engineering and Technology Applications
;
Knowledge-Based Systems
;
Symbolic Systems
Abstract:
Nowadays, many women do not fully realize what the fertile period is, as well as what it represents in their life. The prediction of fertile period is quite complex and difficult to calculate accurately and this is undoubtedly a problem for women’s. There are still some completely wrong ideas about reproductive health, especially about the fertile period and the menstrual cycle. A good example of the myths that persist is the fact that many women continue to believe that ovulation occurs precisely in the middle of their menstrual cycle, which is not always true. Therefore, to better understand the female cycle, we proposed a Clinical Decision Support System based on the use of an ontology. Our proposal can predict the female fertile period, based on certain factors that allow a calculation that is more accurate improving the quality of patient life.