@inproceedings{9e5c6750e0464219922de2c1207b8ada,
title = "Multi-modal reasoning in diabetic patient management",
abstract = "We present a decision support tool for Insulin Dependent Diabetes Mellitus management, that relies on the integration of two different methodologies: Rule-Based Reasoning (RBR) and Case-Based Reasoning (CBR). This multi-modal reasoning system aims at providing physicians with a suitable solution to the problem of therapy planning by exploiting the strengths of the two selected methods. RBR provides suggestions on the basis of a situation detection mechanism that relies on structured prior knowledge; CBR is used to specialize and dynamically adapt the rules on the basis of the patient's characteristics and of the accumulated experience. Such work will be integrated in the EU funded project T-IDDM architecture, and has been preliminary tested on a set of cases generated by a diabetic patient simulator.",
author = "Stefania Montani and Riccardo Bellazzi and Luigi Portinale and Alberto Riva and Mario Stefanelli",
note = "Publisher Copyright: {\textcopyright} Springer-Verlag Berlin Heidelberg 1999.; 7th Joint European Conference on Artificial Intelligence in Medicine and Medical Decision Making, AIMDM 1999 ; Conference date: 20-06-1999 Through 24-06-1999",
year = "1999",
doi = "10.1007/3-540-48720-4_10",
language = "English",
isbn = "354066162X",
series = "Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)",
publisher = "Springer Verlag",
pages = "113--123",
editor = "Werner Horn and Yuval Shahar and Greger Lindberg and Steen Andreassen and Jeremy Wyatt",
booktitle = "Artificial Intelligence in Medicine - Joint European Conference on Artificial Intelligence in Medicine and Medical Decision Making, AIMDM 1999, Proceedings",
address = "Germany",
}