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|Title: ||A case-based reasoning view of thrombophilia risk|
|Authors: ||Vilhena, João|
Martins, M. Rosário
Knowledge representation and reasoning
|Issue Date: ||2016|
|Citation: ||Vilhena, J., Vicente, H., Martins, M.R., Grañeda, J., Caldeira, F., Gusmão, R., Neves, J. & Neves, J., A Case-Based Reasoning View of Thrombophilia Risk. Journal of Biomedical Informatics, 62: 265–275, 2016.|
|Abstract: ||Thrombophilia stands for a genetic or an acquired tendency to hypercoagulable states that increase the
risk of venous and arterial thromboses. Indeed, venous thromboembolism is often a chronic illness,
mainly in deep venous thrombosis and pulmonary embolism, requiring lifelong prevention strategies.
Therefore, it is crucial to identify the cause of the disease, the most appropriate treatment, the length
of treatment or prevent a thrombotic recurrence. Thus, this work will focus on the development of a diagnosis
decision support system in terms of a formal agenda built on a logic programming approach to
knowledge representation and reasoning, complemented with a case-based approach to computing.
The proposed model has been quite accurate in the assessment of thrombophilia predisposition risk,
since the overall accuracy is higher than 90% and sensitivity ranging in the interval [86.5%, 88.1%]. The
main strength of the proposed solution is the ability to deal explicitly with incomplete, unknown, or even
|Appears in Collections:||HERCULES - Publicações - Artigos em Revistas Internacionais Com Arbitragem Científica|
QUI - Publicações - Artigos em Revistas Internacionais Com Arbitragem Científica
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