Abstract
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.
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References
JN: Maus tratos a crianças cada vez mais perversos e difíceis de identificar. Jornal De Notícias. Controlinveste (2013). www.jn.pt
ISO: ISO/IEC 27001:2013 Information technology - Security techniques - Information security management systems – Requirements. ISO (2013)
Oladimeji, E.A., Chung, L., Jung, H.T., Kim, J.: Managing security and privacy in ubiquitous eHealth information interchange, vol. 10, pp. 26:1–26 (2011)
IRMA: User-Driven Healthcare: Concepts, Methodologies, Tools, and Applications: IGI Global (2013)
H. S. O. WG: HL7 Version 3 Standard: Security and Privacy Ontology, Release 1, Version 3 ed: HL7 (2013)
S.W.g.o. HL7: Composite Security and Privacy - Domain analysis Model Report, Ballot, HL7, May 2010
P. M. o. Health: Despacho n.º 31292/2008, in 236, ed. Diário da república: INCM (2008)
Hevner, A., Chatterjee, S.: Design Science Research in Information Systems. Design Research in Information Systems, pp. 9–22. Springer, Heidelberg (2010)
March, S.T., Hevner, A.R., Park, J., Ram, S.: Design science in information systems research. Manage. Inf. Syst. Q. 28, 75–105 (2004)
Pereira, T.R., Santos, H.: Critical knowledge monitor system model: healthcare context. In: European Conference on Knowledge Management, Cartagena, Spain (2012)
Pereira, T., Santos, H.: Health care critical knowledge monitor system model: health care critical knowledge ontology component. In: SHEWC2013 - XIII Safety, Health and Environment World Congress, Porto, Portugal, p. 002 (2013)
Blei, D.M., Ng, A.Y., Jordan, M.I.: Latent dirichlet allocation. J. Mach. Learn. Res. 3, 993–1022 (2003)
Hofmann, T.: Unsupervised learning by probabilistic latent semantic analysis. Mach. Learn. 42, 177–196 (2001)
Steyvers, M., Griffiths, T.: Probabilistic topic models. In: Landauer, T., McNamara, D.S., Dennis, S., Kintsch, W. (eds.) Handbook of Latent Semantic Analysis, vol. 427, pp. 424–440. Erlbaum, Hillsdale (2007)
Mimno, D., Li, W., McCallum, A.: Mixtures of hierarchical topics with pachinko allocation. In: Proceedings of ICML, pp. 633–640 (2007)
Li, W., McCallum, A.: Pachinko allocation: DAG-structured mixture models of topic correlations. In: Proceedings of the 23rd International Conference on Machine Learning, Pittsburgh, Pennsylvania (2006)
Sharda, R., Delen, D., Turban, E.: Decision Support and Business Intelligence Systems, 9th edn. Prentice Hall Press, Upper Saddle River (2010)
Pereira, T.R., Santos, H.: The matrix of quality dimensions of knowledge management: knowledge management assessment models review. Knowl. Manage. Int. J 12, 33–41 (2013)
Acknowledgement
This work is financed by FEDER funds through the Competitive Factors Operational Program – COMPETE and Portuguese national funds through FCT – Fundação para a ciência e tecnologia in project FCOMP-01-0124-FEDER-022674.
This work was conducted using the Protégé resource, which is supported by grant GM10331601 from the National Institute of General Medical Sciences of the United States National Institutes of Health.
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© 2015 Institute for Computer Sciences, Social Informatics and Telecommunications Engineering
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Pereira, T., Santos, H. (2015). Child Abuse Monitor System Model: A Health Care Critical Knowledge Monitor System. In: Giaffreda, R., et al. Internet of Things. User-Centric IoT. IoT360 2014. Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering, vol 150. Springer, Cham. https://doi.org/10.1007/978-3-319-19656-5_37
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DOI: https://doi.org/10.1007/978-3-319-19656-5_37
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