Mostrando 1,401 - 1,420 Resultados de 126,243 Para Buscar '"probability"', tiempo de consulta: 0.38s Limitar resultados
  1. 1401
    “…INTRODUCTION: The American College of Emergency Physicians guidelines recommend more aggressive workup beyond imaging alone in patients with a high pretest probability (PTP) of pulmonary embolism (PE). However, the ability of multiple tests to safely rule out PE in high PTP patients is not known. …”
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  2. 1402
    “…This study investigates the impact of contour variation on tumour control probability (TCP) when using IMRT for AC. METHODS: Nine Australian centres contoured a single computed tomography dataset of a patient with AC. …”
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  3. 1403
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  5. 1405
    “…In addition, the Naranjo score indicated that piroxicam was a probable cause for the ulcerative skin lesions. RELEVANCE AND NOVEL INFORMATION: This is the first report of piroxicam, a non-steroidal anti-inflammatory drug, as a probable cause of ulcerative skin lesions in a cat.…”
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  6. 1406
    “…In this work, we propose a nonparametric Bayesian procedure to estimate the probability distribution of factors with many categories. …”
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  7. 1407
    “…When Naranjo Adverse Drug Reaction Probability Scale was used to assess the probability of an adverse drug reaction (ADR), a score of 6 was obtained indicating a “Probable” ADR. …”
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  8. 1408
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  14. 1414
    “…Here, we describe a case of probable sporadic CJD (sCJD) in an 83-year-old man whose manifest an unusual presentation of left-hand tonic seizures without evolution to EPC, as well as brain MRI findings interpreted as peri-ictal changes, which led to an initial misdiagnosis of focal epilepsy.…”
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  16. 1416
    “…It returns a list of probability estimates of the form (t(i), p(i)), where p(i) is the probability that the job will start before time t(i). …”
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  17. 1417
    “…This study aimed at estimating the probability of freedom from brucellosis in this Ecuadorian province in 2014. …”
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  18. 1418
    “…Here, we present PRECOG (precog.russelllab.org): a web-server for predicting GPCR coupling, which allows users to: (i) predict coupling probabilities for GPCRs to individual G-proteins instead of subfamilies; (ii) visually inspect the protein sequence and structural features that are responsible for a particular coupling; (iii) suggest mutations to rationally design artificial GPCRs with new coupling properties based on predetermined coupling features.…”
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