Open AccessEvaluation of the Bias in the Management of Patient’s Appointments in a Pediatric Office
Author(s) -
Cinthia Vegega,
Pablo Pytel,
María Florencia Pollo-Cattaneo
Publication year - 2020
Publication title -
paradigmplus
Language(s) - English
Resource type - Journals
ISSN - 2711-4627
DOI - 10.55969/paradigmplus.v1n1a1
Subject(s) - computer science , process (computing) , context (archaeology) , domain (mathematical analysis) , set (abstract data type) , work (physics) , data set , data science , artificial intelligence , machine learning , engineering , mathematics , programming language , mechanical engineering , mathematical analysis , paleontology , biology
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.