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2019 | OriginalPaper | Chapter

A Support System for Information Management Oriented for the Infant Neurodevelopment Study

Authors : Sergio Daniel Cano-Ortiz, Yadisbel Martinez-Cañete, Lienys Lombardía-Legrá, Reinhard Langmann, Harald Jacques

Published in: Smart Industry & Smart Education

Publisher: Springer International Publishing

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Abstract

Since more fifteen years a multidisciplinary and scientific collaboration between Group of Speech Processing (GSP) from Universidad de Oriente and the Medical Consultation for Infant Neurodevelopment and Disability (CPNDI) of Santiago de Cuba have been successfully developed. Notwithstanding the successes and advances of the CPNDI, certain difficulties limit its action and impact as: non automation of the information flow related to the study of neurodevelopment and children’s disability, the delayed detection of some cases of infants who then make their debut with deviations in their neurodevelopment and associated disabilities. Currently, a project is being developed to deploy a Management Computer System of the CPNDI (named PMSIND). This web-based system will need another support system that will allow it to incorporate software packages and diagnostic methodology both linked to the infant cry analysis, which will facilitate an early detection of neonates at risk to be treated later by the CPNDI. The main objective of the paper is the development and implementation of this support system made up of non-proprietary software tool. The support system developed by the authors should not only help to manage the clinical information of the neonate at risk, but also must guarantee the availability of all information with diagnostic value from the Infant Crying Analysis that facilitates the early detection of infants at risk to be followed up by the CPNDI.

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Metadata
Title
A Support System for Information Management Oriented for the Infant Neurodevelopment Study
Authors
Sergio Daniel Cano-Ortiz
Yadisbel Martinez-Cañete
Lienys Lombardía-Legrá
Reinhard Langmann
Harald Jacques
Copyright Year
2019
DOI
https://doi.org/10.1007/978-3-319-95678-7_59

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