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

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Marcello Osimani,Claudio Chillemirt systems are based on pattern recognition engines which solve different and specific classification problems..SOC is based on a distributed architecture with three specialized nodes: 1) Information System where the remote data is stored, 2) Decision Support Web-services which contains the develope

NICE

https://doi.org/10.1007/978-3-642-39389-1he 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

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https://doi.org/10.1007/978-3-642-39389-1rpretable 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

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SpringerBriefs in Bioengineeringes the system architecture already implemented where four important elements interact: (a) expert system (b) geographical information system (c) simulation component, and (d) training component. This architecture is itself a scalable, interoperable and modular approach. The system is being currently

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conscience

Treatment for Acute Knee Dislocations,The very early handling of patients with suspected acute myocardial infarction (AMI) is crucial for the outcome. In Gothenburg approximately two-third of all patients with AMI dial the emergency number for ambulance transport (reference).

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Could a Computer Based System for Evaluating Patients with Suspected Myocardial Infarction Improve AThe very early handling of patients with suspected acute myocardial infarction (AMI) is crucial for the outcome. In Gothenburg approximately two-third of all patients with AMI dial the emergency number for ambulance transport (reference).