Evaluation of the Bias in the Management of Patient’s Appointments in a Pediatric Office

The application of Machine Learning algorithms must always take into account the objectives set within the project, the characteristics of the domain where the project will be carried out and the data available to use. Given this, it is essential before collecting data considered as representative...

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Main Authors: Cinthia Vegega, Pablo Pytel, Maria Florencia Pollo-Cattaneo
Format: Article
Language:English
Published: ITI Research Group 2020-04-01
Series:ParadigmPlus
Subjects:
Online Access:https://journals.itiud.org/index.php/paradigmplus/article/view/6
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author Cinthia Vegega
Pablo Pytel
Maria Florencia Pollo-Cattaneo
author_facet Cinthia Vegega
Pablo Pytel
Maria Florencia Pollo-Cattaneo
author_sort Cinthia Vegega
collection DOAJ
description The application of Machine Learning algorithms must always take into account the objectives set within the project, the characteristics of the domain where the project will be carried out and the data available to use. Given this, it is essential before collecting data considered as representative of the problem to be solved, because otherwise there may be hidden biases in the data and these may solve a different problem from the one intended. In this context, the aim of this work is to apply a process based on the Gridding method that allows the analysis of the features of the data to be used. This process is applied to the historical data of a pediatric medical office where it is sought to implement an intelligent system that allows to predict the number of normal and over-shift appointments for a particular date and time, since it is desired to hire, when necessary, another pediatric doctor to assist in the care of patients.
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spelling doaj.art-fdf4657315544db6b584d9bd49879f622022-12-22T02:11:27ZengITI Research GroupParadigmPlus2711-46272020-04-011110.55969/paradigmplus.v1n1a1Evaluation of the Bias in the Management of Patient’s Appointments in a Pediatric OfficeCinthia Vegega0Pablo Pytel1Maria Florencia Pollo-Cattaneo2Universidad Tecnológica Nacional Facultad Regional Buenos Aires, ArgentinaUniversidad Tecnológica Nacional Facultad Regional Buenos Aires, ArgentinaUniversidad Tecnológica Nacional Facultad Regional Buenos Aires, Argentina The application of Machine Learning algorithms must always take into account the objectives set within the project, the characteristics of the domain where the project will be carried out and the data available to use. Given this, it is essential before collecting data considered as representative of the problem to be solved, because otherwise there may be hidden biases in the data and these may solve a different problem from the one intended. In this context, the aim of this work is to apply a process based on the Gridding method that allows the analysis of the features of the data to be used. This process is applied to the historical data of a pediatric medical office where it is sought to implement an intelligent system that allows to predict the number of normal and over-shift appointments for a particular date and time, since it is desired to hire, when necessary, another pediatric doctor to assist in the care of patients. https://journals.itiud.org/index.php/paradigmplus/article/view/6Intelligent SystemsMachine LearningTraining DataRepertory GridBias
spellingShingle Cinthia Vegega
Pablo Pytel
Maria Florencia Pollo-Cattaneo
Evaluation of the Bias in the Management of Patient’s Appointments in a Pediatric Office
ParadigmPlus
Intelligent Systems
Machine Learning
Training Data
Repertory Grid
Bias
title Evaluation of the Bias in the Management of Patient’s Appointments in a Pediatric Office
title_full Evaluation of the Bias in the Management of Patient’s Appointments in a Pediatric Office
title_fullStr Evaluation of the Bias in the Management of Patient’s Appointments in a Pediatric Office
title_full_unstemmed Evaluation of the Bias in the Management of Patient’s Appointments in a Pediatric Office
title_short Evaluation of the Bias in the Management of Patient’s Appointments in a Pediatric Office
title_sort evaluation of the bias in the management of patient s appointments in a pediatric office
topic Intelligent Systems
Machine Learning
Training Data
Repertory Grid
Bias
url https://journals.itiud.org/index.php/paradigmplus/article/view/6
work_keys_str_mv AT cinthiavegega evaluationofthebiasinthemanagementofpatientsappointmentsinapediatricoffice
AT pablopytel evaluationofthebiasinthemanagementofpatientsappointmentsinapediatricoffice
AT mariaflorenciapollocattaneo evaluationofthebiasinthemanagementofpatientsappointmentsinapediatricoffice