@inproceedings{de796e021ec140298e0941a71870b2b0,
title = "Using temporal probabilistic knowledge for medical decision making",
abstract = "Time plays an important role in medical decision making, as a patient's disease is a dynamic process that changes over time; medical doctors, therefore, have to deal with the temporal nature of these processes as well. However, it is not clear whether time is equally important in every aspect of medical decision making. This paper explores the role of time in the diagnosis and treatment of ventilator-associated pneumonia (VAP) in ICU patients. The aim of this study was to obtain insight into the advantages and limitations of dealing with time explicitly in the context of VAP.",
author = "{de Bruijn}, Nicolette and Peter Lucas and Karin Schurink and Marc Bonten and Andy Hoepelman",
year = "2001",
month = jan,
day = "1",
language = "English",
isbn = "3540422943",
series = "Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)",
publisher = "Springer-Verlag",
pages = "231--234",
editor = "Silvana Quaglini and Pedro Barahona and Steen Andreassen",
booktitle = "Artificial Intelligence in Medicine - 8th Conference on Artificial Intelligence in Medicine in Europe, AIME 2001, Proceedings",
address = "Germany",
note = "8th Conference on Artificial Intelligence in Medicine in Europe, AIME 2001 ; Conference date: 01-07-2001 Through 04-07-2001",
}