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...
Main Authors: | , , |
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Format: | Article |
Language: | English |
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ITI Research Group
2020-04-01
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Series: | ParadigmPlus |
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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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first_indexed | 2024-04-14T04:46:05Z |
format | Article |
id | doaj.art-fdf4657315544db6b584d9bd49879f62 |
institution | Directory Open Access Journal |
issn | 2711-4627 |
language | English |
last_indexed | 2024-04-14T04:46:05Z |
publishDate | 2020-04-01 |
publisher | ITI Research Group |
record_format | Article |
series | ParadigmPlus |
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 |
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