Length of Stay in Intensive Care Units - A Case Base Evaluation

• Main Author: Silva, Ana
• Publication Date: 2016
• Other Authors: Vicente, Henrique, Abelha, António, Santos, M. Filipe, Machado, José, Neves, João, Neves, José
• Language: eng
• Source: Repositórios Científicos de Acesso Aberto de Portugal (RCAAP)
• Download full: http://hdl.handle.net/10174/19710; https://doi.org/10.3233/978-1-61499-674-3-191
• topic: Intensive Care Unit; Length of Stay; Knowledge Representation and Reasoning; Logic Programming; Case-Based Reasoning; Quality of Care

As a matter of fact, an Intensive Care Unit (ICU) stands for a hospital facility where patients require close observation and monitoring. Indeed, predicting Length-of-Stay (LoS) at ICUs is essential not only to provide them with improved Quality-of-Care, but also to help the hospital management to cope with hospital resources. Therefore, in this work one`s aim is to present an Artificial Intelligence based Decision Support System to assist on the prediction of LoS at ICUs, which will be centered on a formal framework based on a Logic Programming acquaintance for knowledge representation and reasoning, complemented with a Case Based approach to computing, and able to handle unknown, incomplete, or even contradictory data, information or knowledge.