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Predicting Patterns in Hospital Admission Data

Predicting Patterns in Hospital Admission Data
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Author(s): Jesús Manuel Puentes Gutiérrez (Universidad de Alcalá, Spain), Salvador Sánchez-Alonso (Universidad de Alcalá, Spain), Miguel-Angel Sicilia (University of Alcalá, Spain)and Elena García Barriocanal (Universidad de Alcalá, Spain)
Copyright: 2018
Pages: 15
Source title: Applying Big Data Analytics in Bioinformatics and Medicine
Source Author(s)/Editor(s): Miltiadis D. Lytras (Deree - The American College of Greece, Greece)and Paraskevi Papadopoulou (Deree - The American College of Greece, Greece)
DOI: 10.4018/978-1-5225-2607-0.ch013

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Abstract

Predicting patterns to extract knowledge can be a tough task but it is worth. When you want to accomplish that task you have to take your time analysing all the data you have and you have to adapt it to the algorithms and technologies you are going to use after analysing. So you need to know the type of data that you own. When you have finished making the analysis, you also need to know what you want to find out and, therefore, which methodologies you are going to use to accomplish your objectives. At the end of this chapter you can see a real case making all that process. In particular, a Classification problem is shown as an example when using machine learning methodologies to find out if a hospital patient should be admitted or not in Cardiology department.

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