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INTCare: a Knowledge Discovery Based Intelligent Decision Support System for Intensive Care Medicine

Pedro Gago, Manuel Filipe Santos, Alvaro Silva, Paulo Cortez, José Neves, Lopes Gomes
2005 Journal of Decision Systems  
This paper introduces the INTCare system, an intelligent information system based on a completely automated Knowledge Discovery process and on the Agents paradigm.  ...  KEY WORDS: intelligent decision support, knowledge discovery, intensive care Title of the journal. Volume X -no X/2002, pages 1 to n  ...  Theoretical Background and Related Work Decision Support Systems and Intensive Care In the beginning of the 80s, several expert systems were developed for medicine, such as MYCIN (Buchanan et al., 1984  ... 
doi:10.3166/jds.14.241-259 fatcat:lbfptvycdbgyxc56esrkoywrx4

A Pervasive Approach to a Real-Time Intelligent Decision Support System in Intensive Medicine [chapter]

Filipe Portela, Manuel Filipe Santos, Marta Vilas-Boas
2013 Communications in Computer and Information Science  
This paper will present a pervasive perspective of the decision making process in the context of INTCare system, an intelligent decision support system for intensive medicine.  ...  The decision on the most appropriate procedure to provide to the patients the best healthcare possible is a critical and complex task in Intensive Care Units (ICU).  ...  The authors would like to thank FCT (Foundation of Science and Technology, Portugal) for the financial support through the contract PTDC/EIA/72819/2006.  ... 
doi:10.1007/978-3-642-29764-9_25 fatcat:2aler4ywsbga3e6fkx3srnlmsi

Pervasive Business Intelligence: A New Trend in Critical Healthcare

Ana Pereira, Filipe Portela, Manuel Filipe Santos, José Machado, António Abelha
2016 Procedia Computer Science  
To support the health professional's decision-making process, the Pervasive Business Intelligence (PBI) Systems are a forthcoming field.  ...  In the field of intensive medicine, presentation of medical information is identified as a major concern for the health professionals, since it can be a great aid when it is necessary to make decisions  ...  ACKNOWLEDGMENT Work supported by Fundação para a Ciência e Tecnologia within the Project Scope UID/CEC/00319/2013.  ... 
doi:10.1016/j.procs.2016.09.055 fatcat:uyvp7yfelbdyzkepc2nod6tswe

Pervasive and Intelligent Decision Support in Intensive Medicine – The Complete Picture [chapter]

Filipe Portela, Manuel Filipe Santos, José Machado, António Abelha, Álvaro Silva, Fernando Rua
2014 Lecture Notes in Computer Science  
This situation brings more complexity to the way of how a professional makes a decision based on information provided by those data sources.  ...  In the Intensive Care Units (ICU) it is notorious the high number of data sources available.  ...  Background Intensive Care Units The Intensive Care Units (ICU) is a particular unit where a special area of medicine is applied: Intensive Medicine (IM).  ... 
doi:10.1007/978-3-319-10265-8_9 fatcat:l7tnlpmf4vglzbfaqaiaw7bu74

Pervasive Patient Timeline for Intensive Care Units [chapter]

André Braga, Filipe Portela, Manuel F. Santos, José Machado, António Abelha, Álvaro Silva, Fernando Rua
2016 Advances in Intelligent Systems and Computing  
This platform is patient-centred and is prepared to support the decision process allowing the intensivists to provide better care to patients due the inclusion of clinical forecasts.  ...  This research work explores a new way of presenting and representing information about patients in critical care, which is the use of a timeline to display information.  ...  The authors would like to thank FCT for the financial support through the contract PTDC/EEI-SII/1302/2012 (INTCare II).  ... 
doi:10.1007/978-3-319-31307-8_55 fatcat:6hxpbw6novbsbllmki4wjyiiim

Resurgery Clusters in Intensive Medicine

Ricardo Peixoto, Filipe Portela, Filipe Pinto, Manuel Filipe Santos, José Machado, António Abelha, Fernando Rua
2016 Procedia Computer Science  
The field of critical care medicine is confronted every day with cases of surgical interventions.  ...  The goal of this work is to apply clustering techniques in collected data in order to categorize re-interventions in intensive care.  ...  Acknowledgments Work supported by Fundação para a Ciência e Tecnologia within the Project Scope UID/CEC/00319/2013.  ... 
doi:10.1016/j.procs.2016.09.072 fatcat:dsq7kquyqve7naiedaqbljte3a

Predicting Plateau Pressure in Intensive Medicine for Ventilated Patients [chapter]

Sérgio Oliveira, Filipe Portela, Manuel Filipe Santos, José Machado, António Abelha, Álvaro Silva, Fernando Rua
2015 Advances in Intelligent Systems and Computing  
This type of problem is most common in the Intensive Care Units. In order to prevent this problem the use of Data Mining (DM) can be useful for predicting their occurrence.  ...  Through this study DM models (classification) where induced for predicting the Plateau Pressure class (>=30 cm 2 O) in a real environment and using real data.  ...  The authors would like to thank FCT (Foundation of Science and Technology, Portugal) for the financial support through the contract PTDC/EEI-SII/1302/2012 (INTCare II).  ... 
doi:10.1007/978-3-319-16528-8_17 fatcat:sxxcia6qovb2hgu4jct4zjdbcy

An online-processing critical patient monitoring system- an interoperability overview

Filipe Portela, Filipe Miranda, Manuel Santos, António Abelha, José Machado
2017 Computer Science and Information Systems  
Under this scenario, the creation of knowledge in real-time to feed decision support tools is essential.  ...  This paper describes the PaLMS implementation as well as an intelligent Multi-Agent System for the integration of PaLMS into the hospital platform for interoperability named AIDA (Agency for Integration  ...  INTCare System Following the guidelines of Intensive Medicine a system called INTCare was developed.  ... 
doi:10.2298/csis160604013p fatcat:rtcy6tdjgnal3a7564rg24dzau

Intelligent Decision Support to Predict Patient Barotrauma Risk in Intensive Care Units

Sérgio Oliveira, Filipe Portela, Manuel Filipe Santos, José Machado, António Abelha, Álvaro Silva, Fernando Rua
2015 Procedia Computer Science  
The process of discovering implicit knowledge in data collected from Intensive Care Units patients was achieved through the standard process Cross Industry Standard Process for Data Mining.  ...  In order to support the decision process and to predict the risk of occurring barotrauma Data Mining models were induced.  ...  Acknowledgements This work has been supported by FCT -Fundação para a Ciência e Tecnologia within the Project Scope UID/CEC/00319/2013 and PTDC/EEI-SII/1302/2012 (INTCare II)  ... 
doi:10.1016/j.procs.2015.08.576 fatcat:4fyf2cbqufctjavw2jirb3pzvi

Real-Time Predictive Analytics for Sepsis Level and Therapeutic Plans in Intensive Care Medicine

João M. C. Gonçalves, Filipe Portela, Manuel F. Santos, Álvaro Silva, José Machado, António Abelha, Fernando Rua
2014 International Journal of Healthcare Information Systems and Informatics  
This work aims to support doctor's decision-making on predicting sepsis level and the best treatment for patients with microbiological problems.  ...  The data used in DM models were collected at the Intensive Care Unit (ICU) of the Centro Hospitalar do Porto, in Oporto, Portugal.  ...  decision support system based on the models of sepsis developed in this project.  ... 
doi:10.4018/ijhisi.2014070103 fatcat:fi4y7f7cmjfizijz33fhi6bzya

Real-Time Data Mining Models for Predicting Length of Stay in Intensive Care Units

Rui Veloso, Filipe Portela, Manuel Filipe Santos, Álvaro Silva, Fernando Rua, António Abelha, José Machado
2014 Proceedings of the International Conference on Knowledge Management and Information Sharing  
In Intensive Care Units (ICU) optimization assumes even a greater importance derived from the high costs associated to inpatients.  ...  Models for predicting LOS at admission are not suited to the ICU particularities.  ...  The authors would like to thank FCT (Foundation of Science and Technology, Portugal) for the financial support through the contract PTDC/EEI-SII/1302/2012 (INTCare II).  ... 
doi:10.5220/0005083302450254 dblp:conf/ic3k/VelosoPSSRA014 fatcat:hobq5h6snfdqzo67hyneik7vma

"Predicting Resurgery in Intensive Care - A data Mining Approach"

Ricardo Peixoto, Lisete Ribeiro, Filipe Portela, Manuel Filipe Santos, Fernando Rua
2017 Procedia Computer Science  
Every day the surgical interventions are associated with medicine, and the area of critical care medicine is no exception.  ...  Abstract Every day the surgical interventions are associated with medicine, and the area of critical care medicine is no exception.  ...  The INTCare is a system that was designed for use in ICUs, supporting the decisions of doctors, using Data Mining 1 .  ... 
doi:10.1016/j.procs.2017.08.291 fatcat:k2jwmnjknjgnthqfk2qh24cuwq

Patients' Admissions in Intensive Care Units: A Clustering Overview

Ana Ribeiro, Filipe Portela, Manuel Filipe Santos, Jose Machado, Antonio Abelha, Fernando Rua
2016 2016 IEEE 18th Conference on Business Informatics (CBI)  
Given the critical environment of intensive care units (ICUs), the need to use information technologies, like decision support systems, to improve healthcare services and ICU management is evident.  ...  Intensive care is a critical area of medicine having a multidisciplinary nature requiring all types of healthcare professionals.  ...  INTCare The INTCare system is an intelligent decision support system with pervasive features developed for the area of intensive care medicine.  ... 
doi:10.1109/cbi.2016.48 dblp:conf/wecwis/RibeiroPS0AR16 fatcat:mjpyfapsq5gtfecvtzz2zmtwt4

Patients' Admissions in Intensive Care Units: A Clustering Overview

Ana Ribeiro, Filipe Portela, Manuel Santos, António Abelha, José Machado, Fernando Rua
2017 Information  
Given the critical environment of intensive care units (ICUs), the need to use information technologies, like decision support systems, to improve healthcare services and ICU management is evident.  ...  Intensive care is a critical area of medicine having a multidisciplinary nature requiring all types of healthcare professionals.  ...  INTCare The INTCare system is an intelligent decision support system with pervasive features developed for the area of intensive care medicine.  ... 
doi:10.3390/info8010023 fatcat:ryfo34qxt5fkbckpgysfhooy6q

Grid Data Mining for Outcome Prediction in Intensive Care Medicine [chapter]

Manuel Filipe Santos, Wesley Mathew, Carlos Filipe Portela
2011 Communications in Computer and Information Science  
Experimental tests were conducted with a real world data set from the intensive care medicine in order to predict the outcome of the patients.  ...  This paper introduces a distributed data mining approach suited to grid computing environments based on a supervised learning classifier system.  ...  Background Intensive Care Units The Intensive Care Units (ICU) is the place where the knowledge and treatments associated Intensive Medicine is applied.  ... 
doi:10.1007/978-3-642-24352-3_26 fatcat:u5hde3lkfbewreay457cbdjmcy
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