83 research outputs found
NIGER-DELTA: ENVIRONMENT, OGONI CRISIS AND THE STATE
Among the well agreed-on benefits of a guideline computerisation, with respect to the traditional text format, there are the disambiguation, the possibility of looking at the guideline at different levels of detail and the possibility of generating patient-tailored suggestions. Nevertheless, the connection of guidelines with patient records is still a challenging problem, as well as their effective integration into the clinical workflow. In this paper, we describe the evolution of our environment for representing and running guidelines. The main new features concern the choice of a commercial product as the middle layer with the electronic patient record, the consequent possibility of gathering information from different legacy systems, and the extension of this "virtual medical record" to the storage of process data. This last feature allows managing exceptions, i.e. decisions that do not comply with guidelines
A mechanistic model of Botrytis cinerea on grapevines that includes weather, vine growth stage, and the main infection pathways
A mechanistic model for Botrytis cinerea on grapevine was developed. The model, which
accounts for conidia production on various inoculum sources and for multiple infection pathways,
considers two infection periods. During the first period (“inflorescences clearly visible”
to “berries groat-sized”), the model calculates: i) infection severity on inflorescences and
young clusters caused by conidia (SEV1). During the second period (“majority of berries
touching” to “berries ripe for harvest”), the model calculates: ii) infection severity of ripening
berries by conidia (SEV2); and iii) severity of berry-to-berry infection caused by mycelium
(SEV3). The model was validated in 21 epidemics (vineyard Ă— year combinations) between
2009 and 2014 in Italy and France. A discriminant function analysis (DFA) was used to: i)
evaluate the ability of the model to predict mild, intermediate, and severe epidemics; and ii)
assess how SEV1, SEV2, and SEV3 contribute to epidemics. The model correctly classified
the severity of 17 of 21 epidemics. Results from DFA were also used to calculate the daily
probabilities that an ongoing epidemic would be mild, intermediate, or severe. SEV1 was
the most influential variable in discriminating between mild and intermediate epidemics,
whereas SEV2 and SEV3 were relevant for discriminating between intermediate and severe
epidemics. The model represents an improvement of previous B. cinerea models in viticulture
and could be useful for making decisions about Botrytis bunch rot control
Development and validation of a weather-based model for predicting infection of loquat fruit by Fusicladium eriobotryae
A mechanistic, dynamic model was developed to predict infection of loquat fruit by conidia of Fusicladium eriobotryae, the
causal agent of loquat scab. The model simulates scab infection periods and their severity through the sub-processes of
spore dispersal, infection, and latency (i.e., the state variables); change from one state to the following one depends on
environmental conditions and on processes described by mathematical equations. Equations were developed using
published data on F. eriobotryae mycelium growth, conidial germination, infection, and conidial dispersion pattern. The
model was then validated by comparing model output with three independent data sets. The model accurately predicts the
occurrence and severity of infection periods as well as the progress of loquat scab incidence on fruit (with concordance
correlation coefficients .0.95). Model output agreed with expert assessment of the disease severity in seven loquatgrowing
seasons. Use of the model for scheduling fungicide applications in loquat orchards may help optimise scab
management and reduce fungicide applications.This work was funded by Cooperativa Agricola de Callosa d'En Sarria (Alicante, Spain). Three months' stay of E. Gonzalez-Dominguez at the Universita Cattolica del Sacro Cuore (Piacenza, Italy) was supported by the Programa de Apoyo a la Investigacion y Desarrollo (PAID-00-12) de la Universidad Politecnica de Valencia. The funders had no role in study design, data collection and analysis, decision to publish, or preparation of the manuscript.González DomĂnguez, E.; Armengol FortĂ, J.; Rossi, V. (2014). Development and validation of a weather-based model for predicting infection of loquat fruit by Fusicladium eriobotryae. PLoS ONE. 9(9):1-12. https://doi.org/10.1371/journal.pone.0107547S11299Sánchez-Torres, P., Hinarejos, R., & Tuset, J. J. (2009). Characterization and Pathogenicity ofFusicladium eriobotryae, the Fungal Pathogen Responsible for Loquat Scab. 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Modular representation of the guideline text: An approach for maintaining and updating the content of medical education
A framework for representing and executing a clinical practice guideline for the management of high blood pressure in pregnancy
Relating UMLS semantic types and task-based ontology to computer-interpretable clinical practice guidelines, Proceedings of ,
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