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Clinical Identification of Suicidal Risk
Archives of General Psychiatry, 1972Prediction of suicide is beyond our present competence, but groups of persons with an increased risk of suicide may be identified. Because suicide is an infrequent event, a heavy preponderance of false-positives (persons not truly suicidal), who share the characteristics of high-risk persons, may overwhelm the detection system.
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Prenatal Identification of the Fetas at Risk
Clinics in Perinatology, 1974Efforts to upgrade and intensify neonatal care generally result in improved newborn salvage rates; however, institution of a special type of care directed even earlier to the mother and the fetus prior to delivery may be preventative. Variables influencing placental growth, fetal development, gestational age and birth weight are among the major factors
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Prospective Identification of the Risk of Sids
Clinics in Perinatology, 1992In the general population, there are a number of epidemiologic and physiologic factors that have been identified as increasing the risk for SIDS. To date, optimum combinations of these factors do not sufficiently discriminate the high-risk infant in order to serve as a basis for prospective screening.
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Risk identification in Green IT practice
Computer Standards & Interfaces, 2013A variety of risk factors may affect Green IT's practice and eventually displease the goal of environmental sustainability. This paper adopts the value model approach to analyze potential risk effect in Green IT. The Green IT value model has been used to depict the process and mechanism of achieving Green IT and environmental sustainability. This study
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The link between healthcare risk identification and patient safety culture.
International Journal of Health Care Quality Assurance, 2019PURPOSE Risk identification plays a key role identifying patient safety risks. As previous research on risk identification practices, as applied to patient safety, and its association with safety culture is limited, the purpose of this paper is to ...
M. Simsekler
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2014
As already stated in Chap. 1, given the broad nature of the conveyancing process, it is not possible to deal with all the potential risks that might lead to loss in the course of the operation of a conveyancing system (whether electronic or not). Thus this analysis focuses on risk solely in the context of title registration.
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As already stated in Chap. 1, given the broad nature of the conveyancing process, it is not possible to deal with all the potential risks that might lead to loss in the course of the operation of a conveyancing system (whether electronic or not). Thus this analysis focuses on risk solely in the context of title registration.
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Identification of the Risk Classes
2020The chapter shows the procedure of identification of the risk classes, starting from the partition of the losses in business lines. While low-size business lines represent distinct risk classes, high-size business lines are divided following a statistical procedure aimed at creating homogeneous subgroups.
Giovanni De Luca +2 more
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Obstetrics and Gynecology, 2019
Cardiovascular disease (CVD) is the leading cause of death in women. Because women generally present with more atypical symptoms of CVD than do men and because underlying CVD risk factors are often present for years before the onset of CVD, it is ...
Graeme N. Smith, J. Louis, G. Saade
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Cardiovascular disease (CVD) is the leading cause of death in women. Because women generally present with more atypical symptoms of CVD than do men and because underlying CVD risk factors are often present for years before the onset of CVD, it is ...
Graeme N. Smith, J. Louis, G. Saade
semanticscholar +1 more source
Safety Science, 2019
Dynamic risk identification is used to predict future risk based on known risk information as early as possible. Risk identification technology based on the fuzzy support vector machine (FSVM) model can more comprehensively and automatically identify ...
Bo Yang
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Dynamic risk identification is used to predict future risk based on known risk information as early as possible. Risk identification technology based on the fuzzy support vector machine (FSVM) model can more comprehensively and automatically identify ...
Bo Yang
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