Global medical and epidemic surveillance is an essential function of Public Health agencies, whose mandate is to protect the public from major health threats. To perform this function effectively one requires timely and accurate medical information from a wide range of sources. In this work we present a freely accessible system designed to monitor disease epidemics by analysing textual reports, mostly in the form of news gathered from the Web. The system rests on two major components'MedISys, based on Information Retrieval technology, and PULS, an Information Extraction system.JRC.G.2-Global security and crisis managemen
Summary: BioCaster is an ontology-based text mining system for detecting and tracking the distributi...
BackgroundCommunicable diseases pose a severe threat to public health and economic growth. The tradi...
Since 2013, the French Animal Health Epidemic Intelligence System (in French: Veille Sanitaire Inter...
Information extraction and content analysis is a mature research area with strong potential for real...
Real world pandemics such as SARS 2002 as well as popular fiction like the movie Contagion graphical...
Web-based social media is increasingly being used across different settings in the health care indus...
The Medical Information System (MedISys) is a fully automatic event-based surveillance system that m...
The Medical Information System (MedISys) is a fully automatic 24/7 public health surveillance system...
In recent years as a complement to the traditional surveillance reporting systems there is a great i...
Epidemic intelligence aims to detect, investigate and monitor potential health threats while relying...
In order to gather a comprehensive picture of potential epidemic threats, public health authorities ...
developed as an experimental prototype using human language technologies for monitoring infectious d...
Objectives: This research reviews the possibilities of text mining in the area of cybercrime in digi...
PAKDD 2012 International Workshops: DMHM, GeoDoc, 3Clust, and DSDM, Kuala Lumpur, Malaysia, May 29 -...
Background: Due to the prevalence of the COVID-19 epidemic in all countries of the world, the need ...
Summary: BioCaster is an ontology-based text mining system for detecting and tracking the distributi...
BackgroundCommunicable diseases pose a severe threat to public health and economic growth. The tradi...
Since 2013, the French Animal Health Epidemic Intelligence System (in French: Veille Sanitaire Inter...
Information extraction and content analysis is a mature research area with strong potential for real...
Real world pandemics such as SARS 2002 as well as popular fiction like the movie Contagion graphical...
Web-based social media is increasingly being used across different settings in the health care indus...
The Medical Information System (MedISys) is a fully automatic event-based surveillance system that m...
The Medical Information System (MedISys) is a fully automatic 24/7 public health surveillance system...
In recent years as a complement to the traditional surveillance reporting systems there is a great i...
Epidemic intelligence aims to detect, investigate and monitor potential health threats while relying...
In order to gather a comprehensive picture of potential epidemic threats, public health authorities ...
developed as an experimental prototype using human language technologies for monitoring infectious d...
Objectives: This research reviews the possibilities of text mining in the area of cybercrime in digi...
PAKDD 2012 International Workshops: DMHM, GeoDoc, 3Clust, and DSDM, Kuala Lumpur, Malaysia, May 29 -...
Background: Due to the prevalence of the COVID-19 epidemic in all countries of the world, the need ...
Summary: BioCaster is an ontology-based text mining system for detecting and tracking the distributi...
BackgroundCommunicable diseases pose a severe threat to public health and economic growth. The tradi...
Since 2013, the French Animal Health Epidemic Intelligence System (in French: Veille Sanitaire Inter...