Please use this identifier to cite or link to this item: http://hdl.handle.net/1822/39211

TitleChild abuse monitor system model: a health care critical knowledge monitor system
Author(s)Pereira, Tiago Rui Carvalho e
Santos, Henrique
KeywordsHealth care decision support system
Health care knowledge security
Health care knowledge sensitivity
Information retrieval
Knowledge management
Ontology
Text mining
Topic models
Issue date2015
PublisherSpringer International Publishing
JournalLecture Notes of the Institute for Computer Sciences, Social-Informatics and Telecommunications Engineering
CitationPereira, T., & Santos, H. (2015). Child Abuse Monitor System Model: A Health Care Critical Knowledge Monitor System. In Internet of Things. User-Centric IoT (pp. 255-261). Springer International Publishing
Abstract(s)The Childhood protection is a subject with high value for the society, but, the Child Abuse cases are difficult to identify. The process from suspicious to accusation is very difficult to achieve. It must configure very strong evidences. Typically, Health Care services deal with these cases from the beginning where there are evidences based on the diagnosis, but they aren’t enough to promote the accusation. Besides that, this subject it’s highly sensitive because there are legal aspects to deal with such as: the patient privacy, paternity issues, medical confidentiality, among others. We propose a Child Abuses critical knowledge monitor system model that addresses this problem. This decision support system is implemented with a multiple scientific domains: to capture of tokens from clinical documents from multiple sources; a topic model approach to identify the topics of the documents; knowledge management through the use of ontologies to support the critical knowledge sensibility concepts and relations such as: symptoms, behaviors, among other evidences in order to match with the topics inferred from the clinical documents and then alert and log when clinical evidences are present. Based on these alerts clinical personnel could analyze the situation and take the appropriate procedures.
TypeconferencePaper
URIhttp://hdl.handle.net/1822/39211
ISBN978-3-319-19655-8
978-3-319-19656-5
DOI10.1007/978-3-319-19656-5_37
ISSN1867-8211
Publisher versionhttp://link.springer.com/chapter/10.1007/978-3-319-19656-5_37
Peer-Reviewedyes
AccessrestrictedAccess
Appears in Collections:CAlg - Artigos em livros de atas/Papers in proceedings

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