Titlebook: Biological and Medical Data Analysis; 5th International Sy José María Barreiro,Fernando Martín-Sánchez,Ferran Conference proceedings 2004 S

TEM

Servile

Decision Support Server Architecture for Mobile Medical Applicationshe architecture is to provide the decision algorithms and database support for thin client applications running on low cost palmtop computers. We consider the wide class of medical applications, where decision making is equivalent to typical pattern recognition problem. The decision support consists

潔凈

Ordered Time-Independent CIG Learningrpretable guideline (CIG) has been introduced to describe formal descriptions of clinical practice guidelines. . are a sort of CIG wich are able to cope with the description and use of real therapies. Here, this representation model and a machine learning algorithm to construct such CIGs from the ho

貞潔

allergy

On the Robustness of Feature Selection with Absent and Non-observed Features outbreak of the disease in the Netherlands. The available dataset exhibits a lack of distinction between absence of a clinical symptom and the symptom not having been addressed or observed. Such a lack of distinction is not uncommonly found in biomedical datasets. In this paper, we study the effect

alliance

dendrites

Learning the Dose Adjustment for the Oral Anticoagulation Treatmenton and suggested arrangements for the management of an oral anticoagulant service. They aim to take care of the current practical difficulties involved in the safe monitoring of the rapidly expanding numbers of patients on long-term anticoagulant therapy. Nowadays, a number of computer-based systems

咯咯笑

APO

https://doi.org/10.1007/b104033Analysis; Microarray; bioinformatics; data mining; decision support system; image processing; knowledge di

朦朧

978-3-540-23964-2Springer-Verlag Berlin Heidelberg 2004