Review of medical decision support and machine-learning methods
A Awaysheh, J Wilcke, F Elvinger, L Rees… - Veterinary …, 2019 - journals.sagepub.com
Machine-learning methods can assist with the medical decision-making processes at the
both the clinical and diagnostic levels. In this article, we first review historical milestones and …
both the clinical and diagnostic levels. In this article, we first review historical milestones and …
A survey of the applications of text mining for agriculture
Agricultural researchers, in common with other domains, have recently began to have
access to large collections of agricultural texts such as scientific papers and news stories …
access to large collections of agricultural texts such as scientific papers and news stories …
Web monitoring of emerging animal infectious diseases integrated in the French Animal Health Epidemic Intelligence System
E Arsevska, S Valentin, J Rabatel… - PLoS …, 2018 - journals.plos.org
Since 2013, the French Animal Health Epidemic Intelligence System (in French: Veille
Sanitaire Internationale, VSI) has been monitoring signals of the emergence of new and …
Sanitaire Internationale, VSI) has been monitoring signals of the emergence of new and …
The value of necropsy reports for animal health surveillance
S Küker, C Faverjon, L Furrer, J Berezowski… - BMC veterinary …, 2018 - Springer
Background Animal health data recorded in free text, such as in necropsy reports, can have
valuable information for national surveillance systems. However, these data are rarely …
valuable information for national surveillance systems. However, these data are rarely …
Machine learning for syndromic surveillance using veterinary necropsy reports
The use of natural language data for animal population surveillance represents a valuable
opportunity to gather information about potential disease outbreaks, emerging zoonotic …
opportunity to gather information about potential disease outbreaks, emerging zoonotic …
Early cherry fruit pathogen disease detection based on data mining prediction
Today's world depends largely on information and communication technologies. These
technologies are in use in different areas of human life and work. Each day, more examples …
technologies are in use in different areas of human life and work. Each day, more examples …
Survey of text-based epidemic intelligence: A computational linguistics perspective
Epidemic intelligence deals with the detection of outbreaks using formal (such as hospital
records) and informal sources (such as user-generated text on the web) of information. In …
records) and informal sources (such as user-generated text on the web) of information. In …
Design of a data management reference architecture for sustainable agriculture
Effective and efficient data management is crucial for smart farming and precision
agriculture. To realize operational efficiency, full automation, and high productivity in …
agriculture. To realize operational efficiency, full automation, and high productivity in …
Monitoring online media reports for early detection of unknown diseases: Insight from a retrospective study of COVID‐19 emergence
Event‐based surveillance (EBS) systems monitor a broad range of information sources to
detect early signals of disease emergence, including new and unknown diseases. In …
detect early signals of disease emergence, including new and unknown diseases. In …
[HTML][HTML] PADI-web 3.0: A new framework for extracting and disseminating fine-grained information from the news for animal disease surveillance
PADI-web (Platform for Automated extraction of animal Disease Information from the web) is
a biosurveillance system dedicated to monitoring online news sources for the detection of …
a biosurveillance system dedicated to monitoring online news sources for the detection of …