Predicting type of delivery by identification of obstetric risk factors through data mining

S Pereira, F Portela, MF Santos, J Machado… - Procedia Computer …, 2015 - Elsevier
Abstract In Maternity Care, a quick decision has to be made about the most suitable delivery
type for the current patient. Guidelines are followed by physicians to support that decision; …

Quality of service in healthcare units

J Machado, A Abelha, P Novais… - … Journal of Computer …, 2010 - inderscienceonline.com
Healthcare systems have to be understood in terms of a wide variety of heterogeneous,
distributed and ubiquitous systems, speaking different languages, integrating medical …

Data quality evaluation of electronic health records in the hospital admission process

J Duarte, M Salazar, C Quintas… - 2010 IEEE/ACIS 9th …, 2010 - ieeexplore.ieee.org
Data Quality Evaluation is a critical problem, specially in Healthcare, where people may take
decisions based on confident, acceptable and secure information. In this paper we show …

Predicting the risk associated to pregnancy using data mining

JM Machado, A Abelha, M Santos, F Portela… - 2015 - repositorium.sdum.uminho.pt
Woman willing to terminate pregnancy should in general use a specialized health unit, as it
is the case of Maternidade Júlio Dinis in Porto, Portugal. One of the four stages comprising …

Real-time Business Intelligence platform to maternity care

A Brandão, E Pereira, F Portela… - … IEEE Conference on …, 2014 - ieeexplore.ieee.org
The motivation for the implementation of a decision support system in maternity care came
from the fact that people are constantly making quick decisions based on incomplete …

Managing voluntary interruption of pregnancy using data mining

A Brandão, E Pereira, F Portela, MF Santos… - Procedia …, 2014 - Elsevier
When a woman aims to terminate an unplanned pregnancy, she must go to a specialized
healthcare unit, such as Júlio Dinis Maternity Hospital. In this unit, the procedures of …

Improving nursing practice through interoperability and intelligence

D Oliveira, J Duarte, A Abelha… - 2017 5th International …, 2017 - ieeexplore.ieee.org
Hospital inpatient care compromises one of the most demanding services in health
institutions when providing a careful and continuous healthcare assistance. Such demands …

Predicting preterm birth in maternity care by means of data mining

S Pereira, F Portela, MF Santos, J Machado… - Progress in Artificial …, 2015 - Springer
Worldwide, around 9% of the children are born with less than 37 weeks of labour, causing
risk to the premature child, whom it is not prepared to develop a number of basic functions …

[PDF][PDF] A Web-Based System to Reduce the Nosocomial Infection Impact in Healtcare Units.

H Rigor, J Machado, A Abelha, J Neves… - WEBIST (1 …, 2008 - pdfs.semanticscholar.org
The nosocomial infection has a critical impact on the mortality and morbidity of the patients
in healthcare units, especially in intensive care units, and has been studied in order to be …

Predicting triage waiting time in maternity emergency care by means of data mining

S Pereira, L Torres, F Portela, MF Santos… - New Advances in …, 2016 - Springer
Healthcare organizations often benefit from information technologies as well as embedded
decision support systems, which improve the quality of services and help preventing …