Mostrando 75,081 - 75,100 Resultados de 75,175 Para Buscar '"discrimination"', tiempo de consulta: 0.59s Limitar resultados
  1. 75081
    “…Receiver operator characteristic analysis, detection rate, false positive rate, false negative rate, positive predictive value, negative predictive value, positive likelihood ratio and negative likelihood ratio, comprehensive discriminant improvement, net weight classification improvement, decision curve analysis and Hosmer–lemeshow (H-L) test were used to investigate the predictive value of free β-hCG, AFP, AFP-L2 and AFP-L3 on the risk models of trisomy 21, 18. …”
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  2. 75082
  3. 75083
    “…SIMPLE SUMMARY: Acute jaundice, a critical problem after living donor liver transplantation, often required efforts to discriminate its etiologies. MicroRNAs are small non-coding RNAs, which express differently during disease development. …”
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  4. 75084
    “…HFNC 24 h failure was significantly associated with the pediatric risk of mortality (PRISM) III score [odds ratio, 1.391; 95% confidence interval (CI): 1.249–1.550], arterial partial pressure of carbon dioxide-to-arterial partial pressure of oxygen (PaCO(2)/PaO(2)) ratio (odds ratio, 38.397; 95% CI: 6.410–230.013), and respiratory rate-oxygenation (ROX) index (odds ratio, 0.751; 95% CI: 0.616–0.915). The discriminating cutoff point for the new scoring system based on the three risk factors for HFNC 24 h failure was ≥ 2.0 points, with an area under the receiver operating characteristic curve of 0.794 (95% CI, 0.729–0.859, P < 0.001), sensitivity of 68%, and specificity of 79%; similar values were noted on applying the model to the prospective observational cohort comprising 66 patients (AUC = 0.717, 95% CI, 0.675–0.758, sensitivity 83%, specificity 44%, P = 0.009). …”
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  5. 75085
    “…The best cutoff values differentiating prediabetes Progressors from Nonprogressors obtained by the ROC curve using entire range of each risk factor was ≥12.4 for FLI, ≥95 mg·dL-1 for FPG, ≤11.99 for ISIMATSUDA and ≤486.3 for Stumvoll-1, and incidence of prediabetes was progressively high as 10/127 (6%), 34/153 (22%), 56/189 (30%), 53/106 (50%) and 16/24 (67%) among the participants with no, one, two, three and four unfavorable discriminating values for progression, respectively. AUC of ROC curve (AUROC) for the combination of the quadrumvirate was as large as 0.729 (0.661-0.788) with high precision as sensitivity 73.4% and specificity 63.8%. …”
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  6. 75086
    “…The [Formula: see text] off-kinetics used a bi-exponential model to discriminate primary amplitude, time delay, and time constant (A(1off), TD(1off), and τ(off)) for assessment of fast-O(2debt) post IIST_v200m, 200-m single-trial (v200 m), and rest-to-work transition at 90% delta (v90%Δ) tests. …”
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  7. 75087
  8. 75088
    por Staccini, Pascal, Lau, Annie Y.S.
    Publicado 2022
    “…Public health policies and health promotion strategies must focus on strengthening and adapting the digital health literacy in known vulnerable subgroups (ethnic and racial minorities, sexual and gender minorities, children and adolescents, elderly people, students population, impaired people, patients with cancer and chronic diseases) increasing citizen technology engagement and guaranteeing equity in access to information and in the skills to manage, discriminate, and apply information to health.…”
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  9. 75089
    “…We calculated summary statistics, transformed all data to a 0-100 scale, assessed the reliability of each factor related to reporting at the group level using Cronbach’s alpha, and assessed discriminant validity with t-tests comparing responses among subsets expected to differ. …”
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  10. 75090
    “…Serum HIF-lα levels displayed significant efficiency for discriminating DCI risk [area under ROC curve (AUC), 0.751; 95% CI: 0.687–0.815; P < 0.001] and poor outcome (AUC, 0.791; 95% CI: 0.736–0.846; P < 0.001). …”
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  11. 75091
    “…We externally validated our models in a subset from the Genetic Epidemiology of COPD (COPDGene) cohort. Discriminative model performance was assessed using the area under the receiver operating characteristic curve (AUC), which was also compared with other predictors, including exacerbation history and the BMI, airflow obstruction, dyspnoea, and exercise capacity (BODE) index. …”
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  12. 75092
  13. 75093
    “…CONCLUSION: The share of LV segments with preserved myocardial contraction promises to discriminate between symptomatic and asymptomatic subjects based on the imaging findings, even when the LV ejection fraction is preserved. …”
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  14. 75094
    “…According to the ROC curves, for differentiating HCC from LC, combining AFP with each of hsa-miR-21-5p, hsa-miR-155-5p, and miR199a-5p improved the diagnostic sensitivity to 87%, 82%, and 84%, respectively, vs. 69% for AFP alone, with acceptable specificities of 77.5%, 77.5%, and 80%, respectively, and AUC = 0.89, 0.85, and 0.90, respectively vs. 0.85 for AFP alone. hsa-miR-21-5p/hsa-miR-199a-5p and hsa-miR-155-5p/hsa-miR-199a-5p ratios discriminated HCC from LC at AUC = 0.76 and 0.71, respectively, with sensitivities = 94% and 92% and specificities = 48% and 53%, respectively. …”
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  15. 75095
    “…Data relevant to nine psychometric criteria from the Psychometric and Pragmatic Evidence Rating Scale (PAPERS) were extracted: internal consistency, convergent validity, discriminant validity, known-groups validity, predictive validity, concurrent validity, structural validity, responsiveness, and norms. …”
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  16. 75096
    por Ungaro, Francesca Consiglia
    Publicado 2018
    “…This variable is expected to peak at about 2 times the mass of the top quark for the top-antitop background, while for the signal the position of the peak depends on the stop mass. Further discriminating power is given by the different masses of the invisible particles in signal and background. …”
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  17. 75097
    “…Trypanolysis on DBS may discriminate HAT patients from false RDT positives. Trial registration The trial was registered under NCT03356665 in clinicaltrials.gov (November 29, 2017, retrospectively registered https://clinicaltrials.gov/ct2/show/NCT03356665) GRAPHICAL ABSTRACT: [Image: see text]…”
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  18. 75098
    por Díaz, Luis Antonio, Fuentes-López, Eduardo, Ayares, Gustavo, Idalsoaga, Francisco, Arnold, Jorge, Valverde, María Ayala, Perez, Diego, Gómez, Jaime, Escarate, Rodrigo, Villalón, Alejandro, Ramírez, Carolina A., Hernandez-Tejero, Maria, Zhang, Wei, Qian, Steve, Simonetto, Douglas A., Ahn, Joseph C., Buryska, Seth, Dunn, Winston, Mehta, Heer, Agrawal, Rohit, Cabezas, Joaquín, García-Carrera, Inés, Cuyàs, Berta, Poca, Maria, Soriano, German, Sarin, Shiv K., Maiwall, Rakhi, Jalal, Prasun K., Abdulsada, Saba, Higuera-de-la-Tijera, Fátima, Kulkarni, Anand V., Rao, P. Nagaraja, Salazar, Patricia Guerra, Skladaný, Lubomir, Bystrianska, Natália, Clemente-Sanchez, Ana, Villaseca-Gómez, Clara, Haider, Tehseen, Chacko, Kristina R., Romero, Gustavo A., Pollarsky, Florencia D., Restrepo, Juan Carlos, Castro-Sanchez, Susana, Toro, Luis G., Yaquich, Pamela, Mendizabal, Manuel, Garrido, Maria Laura, Marciano, Sebastián, Dirchwolf, Melisa, Vargas, Victor, Jiménez, César, Louvet, Alexandre, García-Tsao, Guadalupe, Roblero, Juan Pablo, Abraldes, Juan G., Shah, Vijay H., Kamath, Patrick S., Arrese, Marco, Singal, Ashwani K., Bataller, Ramon, Arab, Juan Pablo
    Publicado 2023
    “…The MELD 3.0 score had a better performance in predicting 30-day mortality (AUC:0.761, 95%CI:0.732–0.791) compared with MELD sodium (MELD-Na; AUC: 0.744, 95% CI: 0.713–0.775; p = 0.042) and Maddrey’s discriminant function (mDF) (AUC: 0.724, 95% CI: 0.691–0.757; p = 0.013). …”
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  19. 75099
  20. 75100
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