Infomed - Cuba, an insider's view
This event took place on Monday 25 June 2007 at 15:30
Maykel Moya Infomed (Health Informatics Network), Havana, Cuba
Infomed is the telematic network of the Public Health Ministry of the Cuban Republic. A project of the CNICM (National Center for Medical Sciences Information) began 15 years ago with the goal of improving information services for the Cuban public health institutions and individuals. Today Infomed is Cuba's largest telco network: more than 100,000 users and more than 700 institutions (and growing) spread over the whole country are served 24x7 by Infomed.
The talk will cover some of Infomed's history, what specific services are available for users, the internals of the telco network and remarks about where Infomed is headed in the future.
www.infomed.sld.cu
This event took place on Monday 25 June 2007 at 15:30
Maykel Moya Infomed (Health Informatics Network), Havana, Cuba
Infomed is the telematic network of the Public Health Ministry of the Cuban Republic. A project of the CNICM (National Center for Medical Sciences Information) began 15 years ago with the goal of improving information services for the Cuban public health institutions and individuals. Today Infomed is Cuba's largest telco network: more than 100,000 users and more than 700 institutions (and growing) spread over the whole country are served 24x7 by Infomed.
The talk will cover some of Infomed's history, what specific services are available for users, the internals of the telco network and remarks about where Infomed is headed in the future.
www.infomed.sld.cu
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We focus on content-based information retrieval over a wide range of data spanning form unstructured text and unlabelled images over spoken documents and music to videos. This encompasses the modelling of human perception of relevance and similarity, the learning from user actions and the up-to-date presentation of information. Currently we are building a research version of an integrated multimedia information retrieval system MIR to be used as a research prototype. We aim for a system that understands the user's information need and successfully links it to the appropriate information sources, be it a report or a TV news clip. This work is guided by the vision that an automated knowledge extraction system ultimately empowers people making efficient use of information sources without the burden of filing data into specialised databases.
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