Percentile Growth Curves for Placenta Measures: A Dynamic Shiny Application

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Abstract

For 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/.

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APA

Alves, S., Braga, A. C., & Nogueira, R. (2022). Percentile Growth Curves for Placenta Measures: A Dynamic Shiny Application. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 13377 LNCS, pp. 543–554). Springer Science and Business Media Deutschland GmbH. https://doi.org/10.1007/978-3-031-10536-4_36

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