Enabling the use of hereditary information from pedigree tools in medical knowledge-based systems
| Autor: | Pablo Gay, Beatriz López, Albert Plà, Jordi Saperas, Carles Pous |
|---|---|
| Rok vydání: | 2013 |
| Předmět: |
Male
Decision support system Expert systems (Computer science) Computer science Family tree Health Informatics Decision support systems computer.software_genre Knowledge-based systems Inheritance (object-oriented programming) Sistemes d'ajuda a la decisió Artificial Intelligence Humans Plug-in Structured data Statistic Medicine -- Data processing Knowledge-based system business.industry Modeling Genetic Diseases Inborn Data science Decision support Pedigree Computer Science Applications Tree (data structure) Knowledge base Feature construction Female business computer Medical applications Sistemes experts (Informàtica) Medicina -- Informàtica |
| Zdroj: | Recercat. Dipósit de la Recerca de Catalunya instname © Journal of Biomedical Informatics, 2013, vol. 46, núm. 4, p. 710-720 Articles publicats (ICRA) DUGiDocs – Universitat de Girona |
| ISSN: | 1532-0464 |
| DOI: | 10.1016/j.jbi.2013.06.003 |
| Popis: | Display Omitted Risk assessment of developing an inherited illness using pedigree information.Methods, structured and statistic indices are defined for knowledge-based systems.Real information from a breast cancer database is used for experimentation.Implemented and integrated into eXiT?CBR experimentation framework as a plugin. The use of family information is a key issue to deal with inheritance illnesses. This kind of information use to come in the form of pedigree files, which contain structured information as tree or graphs, which explains the family relationships. Knowledge-based systems should incorporate the information gathered by pedigree tools to assess medical decision making. In this paper, we propose a method to achieve such a goal, which consists on the definition of new indicators, and methods and rules to compute them from family trees. The method is illustrated with several case studies. We provide information about its implementation and integration on a case-based reasoning tool. The method has been experimentally tested with breast cancer diagnosis data. The results show the feasibility of our methodology. |
| Databáze: | OpenAIRE |
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