Search results - 9 results
Bridging the Gap between Field Experiments and Machine Learning: The EC H2020 B-GOOD Project as a Case Study towards Automated Predictive Health Monitoring of Honey Bee Colonies.
genetic statuses. For this purpose, we have developed and implemented the B- GOOD (Giving Beekeeping Guidance by computational-assisted Decision Making) project as a case study to categorize the colony’s ...
Review: Vaccines and Vaccination against Lumpy Skin Disease
farmers. Decision makers need sound scientific information to support their decisions and subsequent actions. The available vaccine products vary in terms of quality, efficacy, safety, side effects, and ...
ARIA 2016: Care pathways implementing emerging technologies for predictive medicine in rhinitis and asthma across the life cycle.
It uses a visual analogue scale to assess symptom control and work productivity as well as a clinical decision support system. It is associated with an inter-operable tablet for physicians and other ...
MACVIA-ARIA Sentinel NetworK for allergic rhinitis (MASK-rhinitis): the new generation guideline implementation.
L; Zhong, N; Zidarn, M; Mercier, J Source: Allergy, Volume 70, Issue 11, p.1372-92 (2015) Keywords: Allergens Biomarkers Clinical Decision-Making Clinical Trials as Topic comorbidity Disease Management ...
Qualitative risk assessment in a data-scarce environment: a model to assess the impact of control measures on spread of African Swine Fever.
in the EU if disease were introduced. The aim was to develop a tool to evaluate how current control or preventive measures mitigate the risk of spread and giving decision makers the means to review how ...
Expert judgement in a risk assessment model for Salmonella spp. in pork: the performance of different weighting schemes.
variables (=variables from the experts’ area of expertise for which the true values were known to the analyst). Subsequently different weighting schemes or “decision makers” (DM s) were applied using Cooke’s ...
Validation of two real-time RT-PCR methods for foot-and-mouth disease diagnosis: RNA-extraction, matrix effect, uncertainty of measurement and precision.
a useful tool to evaluate the probability of making a wrong decision. Health Topics: Animal health Category: A1 FOS Classification: 4.03 Veterinary science ...
Quantification of foot-and-mouth disease virus transmission rates using published data.
affecting all species of cloven-hoofed animals. To understand the epidemiology of the causative virus and predict viral transmission dynamics, quantified transmission parameters are essential to decision ...
Decision support tools for clinical diagnosis of disease in cows with suspected bovine spongiform encephalopathy.
(2004) Keywords: Animals Cattle Decision Support Systems, Clinical Decision Trees Encephalopathy, Bovine Spongiform Female Time Factors Abstract: Reporting of clinically suspected cattle is currently the ...