Utilize este identificador para referenciar este registo: https://hdl.handle.net/1822/90247

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dc.contributor.authorAlves, Samuelpor
dc.contributor.authorBraga, A. C.por
dc.contributor.authorCardoso, Rosete Maria Amorim Novais Nogueirapor
dc.date.accessioned2024-03-28T11:54:52Z-
dc.date.issued2022-07-
dc.identifier.isbn978-3-031-10535-7-
dc.identifier.issn0302-9743-
dc.identifier.urihttps://hdl.handle.net/1822/90247-
dc.description.abstractFor decades, researchers and health professionals have been using fetal and newborns measurements to evaluate its development. In recent years, there have been new studies suggesting that the placenta’s measurements and its evolutions are capable of reflecting changes in the fetus’s development and even newborn and adult diseases. Most of these analyses are done using growth curves that use linear regression methodologies such as previous studies done. To account for errors associated with this regression and use a more robust method, quantile regression is used to create the placenta’s growth curves. The dataset used for this study was collected on Portuguese CGC Genetics and involves the Portuguese parturient population from different regions. It is also an objective of this study to create a dynamic application that allows the researcher or health professional to enter placental growth values and compare them to the created growth curves to evaluate the evolution of the placenta. This application uses a CSV file with the information gathered from the placenta and is uploaded to the application which then plots the values on the created growth curves. The application also allows the user to edit the values. This application was created on Shiny and can be accessed at https://samuelalves.shinyapps.io/APP2/.por
dc.description.sponsorshipThis work has been supported by FCT – Fundação para a Ciência e Tecnologia within the R&D Units Project Scope: UIDB/00319/2020por
dc.language.isoengpor
dc.publisherSpringerpor
dc.relationinfo:eu-repo/grantAgreement/FCT/6817 - DCRRNI ID/UIDB%2F00319%2F2020/PTpor
dc.rightsrestrictedAccesspor
dc.subjectGrowth curvespor
dc.subjectPlacentapor
dc.subjectQuantile regressionpor
dc.subjectShinypor
dc.titlePercentile growth curves for placenta measures: a dynamic shiny applicationpor
dc.typeconferencePaperpor
dc.peerreviewedyespor
dc.relation.publisherversionhttps://link.springer.com/chapter/10.1007/978-3-031-10536-4_36por
oaire.citationStartPage543por
oaire.citationEndPage554por
oaire.citationVolume13377 LNCSpor
dc.date.updated2024-03-25T16:01:57Z-
dc.identifier.eissn1611-3349-
dc.identifier.doi10.1007/978-3-031-10536-4_36por
dc.date.embargo10000-01-01-
dc.identifier.eisbn978-3-031-10536-4-
dc.subject.wosScience & Technology-
sdum.export.identifier14769-
sdum.journalLecture Notes in Computer Science (LNCS)por
sdum.conferencePublicationCOMPUTATIONAL SCIENCE AND ITS APPLICATIONS, ICCSA 2022 WORKSHOPS, PT Ipor
sdum.bookTitleComputational Science and Its Applications – ICCSA 2022 Workshopspor
Aparece nas coleções:CAlg - Artigos em revistas internacionais / Papers in international journals

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