Publication: Base de datos interactiva en una unidad de Uro-oncología.
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2022
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Abstract
Esta memoria describe la especificación, el diseño y la implementación de una aplicación web dedicada al almacenamiento y análisis de datos procedentes de pacientes con cáncer de próstata.
La aplicación desarrollada proporciona a los especialistas en uro-oncología un servicio donde poder almacenar los datos de todos sus pacientes de manera ordenada, además de herramientas que facilitan el análisis de los datos y su explotación, como un servicio de filtrado y ordenación de los pacientes y una gráfica para analizar su evolución. También se han automatizado procesos que anteriormente los especialistas debían hacer a mano con el fin de ahorrarles tiempo, en concreto cuatro calculadoras, dos de ellas construidas sobre un servicio externo cuyos resultados proporcionan predicciones tales como la probabilidad de supervivencia de los pacientes en función de si se les practica una prostatectomía radical o no.
This report describes the specification, design and implementation of a web application dedicated to the storage and analysis of data from patients with prostate cancer. The developed application provides uro-oncology specialists with a service where they can store the data of all their patients in an orderly manner, as well as tools that facilitate data analysis and exploitation, such as a patient filtering and ordering service and a graph to analyze its evolution. Processes that specialists previously had to do by hand in order to save time have also been automated, specifically four calculators, two of them built on an external service whose results provide predictions such as the probability of survival of patients depending on whether they have a radical prostatectomy or not.
This report describes the specification, design and implementation of a web application dedicated to the storage and analysis of data from patients with prostate cancer. The developed application provides uro-oncology specialists with a service where they can store the data of all their patients in an orderly manner, as well as tools that facilitate data analysis and exploitation, such as a patient filtering and ordering service and a graph to analyze its evolution. Processes that specialists previously had to do by hand in order to save time have also been automated, specifically four calculators, two of them built on an external service whose results provide predictions such as the probability of survival of patients depending on whether they have a radical prostatectomy or not.
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Trabajo de Fin de Grado en Ingeniería Informática, Facultad de Informática UCM, Departamento de Sistemas Informáticos y Computación, Curso 2021/2022.