Materias dentro de su búsqueda.
Mostrando 36,581 - 36,600 Resultados de 37,890 Para Buscar '"forestal"', tiempo de consulta: 0.36s Limitar resultados
  1. 36581
    “…RESULTS: We develop a suite of ML models, under the banner Aikyatan, including SVM models, random forest variants, and deep learning architectures, for distal regulatory element (DRE) detection. …”
    Enlace del recurso
    Enlace del recurso
    Enlace del recurso
    Online Artículo Texto
    AIKYATAN: mapping distal regulatory elements using convolutional learning on GPU
  2. 36582
    “…METHODS: Extensive literature retrieval was conducted to identify eligible studies, and data regarding SNHG16 expression levels on survival outcomes and clinicopathological features were extracted and pooled for calculation of the hazard ratios (HRs) or odds ratios (ORs) with 95% confidence intervals (CIs). Forest plots were applied to show the association between SNHG16 expression and survival prognosis. …”
    Enlace del recurso
    Enlace del recurso
    Enlace del recurso
    Online Artículo Texto
    The prognostic value of long noncoding RNA SNHG16 on clinical outcomes in human cancers: a systematic review and meta-analysis
  3. 36583
    “…The most perturbed pathways show extensive agreement when comparing disease with control. A random forest classifier predicts that the two HD+ CAU samples strongly resemble HD BA9 and not control BA9. …”
    Enlace del recurso
    Enlace del recurso
    Enlace del recurso
    Online Artículo Texto
    The caudate nucleus undergoes dramatic and unique transcriptional changes in human prodromal Huntington’s disease brain
  4. 36584
    “…Data were pooled using a fixed-effects model to generate a forest plot and obtain a summary odds ratio for the outcome of interest (delirium incidence). …”
    Enlace del recurso
    Enlace del recurso
    Enlace del recurso
    Online Artículo Texto
    Melatonin for the prevention of postoperative delirium in older adults: a systematic review and meta-analysis
  5. 36585
    “…Participants complete a one-time online survey comprising a demographics questionnaire, Rotter Interpersonal Trust Scale, Wake Forest Trust in Physician Scale, Revised Health Care System Distrust Scale, 5-item RAND Social Desirability Scale, and Adverse Childhood Events Survey. …”
    Enlace del recurso
    Enlace del recurso
    Online Artículo Texto
    2094 Validation of a set of “healthcare trust” scales for women seeking substance abuse treatment in community-based settings
  6. 36586
    “…OBJECTIVES/SPECIFIC AIMS: The goal of the Wake Forest Clinical and Translational Science Institute (WF CTSI) Mentor Academy is to contribute to increasing the next generation of faculty with competencies specific to research mentoring. …”
    Enlace del recurso
    Enlace del recurso
    Online Artículo Texto
    3388 Evaluation of Mentor Academy using self-assessed research mentoring competencies
  7. 36587
    “…RESULTS: 1841 studies were identified (Figure 1), of which 10 studies were included in our review (Figure 2). From a forest plot-random effects model, the cumulative incidence of AMI among patients hospitalized due to CAP was 2,440 per 100,000 (95% CI: 1,780; 3,320) (Figure 3). …”
    Enlace del recurso
    Enlace del recurso
    Online Artículo Texto
    2195. Incidence of Acute Myocardial Infarction in Patients with Community-Acquired Pneumonia: A Systematic Review and Meta-Analysis
  8. 36588
    “…METHODS: Actively using PWID 18 years or older admitted to Wake Forest Baptist Med Ctr with documented BSI or MFI related to injection drug use (IDU) were prospectively enrolled after providing informed consent. …”
    Enlace del recurso
    Enlace del recurso
    Online Artículo Texto
    114. Chorioretinal Lesions in Persons Who Inject Drugs and Are Hospitalized with Bloodstream and Related Infections
  9. 36589
    “…Demographic, clinical, and surgical information were extracted. 34 Independent variables were identified to be useful for the study. Using Random Forest methodology 12 variables with the highest influence on the outcome were selected for the final dataset. …”
    Enlace del recurso
    Enlace del recurso
    Online Artículo Texto
    2438. Using Artificial Neural Networks to Predict Intra-Abdominal Abscess Risk Post-Appendectomy
  10. 36590
    por Barnes, Erin W
    Publicado 2019
    “…METHODS: Records of all patients aged ≥18 admitted to Wake Forest Baptist Medical Center (WFBMC) from January 1, 2004 to September 30, 2015 with an ICD-9 code for IE and without a simultaneous ICD-9 code indicating”mechanical complication of cardiac device, implant and graft’ were reviewed. …”
    Enlace del recurso
    Enlace del recurso
    Online Artículo Texto
    142. Mean Platelet Volume Is Associated with Embolic Events of Infectious Endocarditis
  11. 36591
    “…The remaining 23 variables were ranked by random forest (RF) variable importance and utilized in both an RF and stepwise logistic regression (LR) model for viral-only etiology. …”
    Enlace del recurso
    Enlace del recurso
    Online Artículo Texto
    1493. Creation and External Validation of a Clinical Prediction Rule for Diarrheal Etiology Using Natural Language Processing
  12. 36592
    “…METHODS: We performed a retrospective study of EHR-derived data from adult and pediatric inpatients within the Duke University Health System from October 2015 to September 2017. We used Random Forests machine learning models on two antimicrobial exposure outcomes at the encounter level: binary (ever/never) exposure and days of therapy (DOT). …”
    Enlace del recurso
    Enlace del recurso
    Online Artículo Texto
    1018. Using prediction modeling to inform risk-adjustment strategy for hospital antimicrobial use: Can we predict who gets an inpatient antimicrobial?
  13. 36593
    “…Predictive models [logistic regression (LR), random forest (RF), support vector machine (SVM) and an ensemble combining the three] were used to predict recurrence-free CVC retention (RFCR) at various time points using a training and test set approach. …”
    Enlace del recurso
    Enlace del recurso
    Online Artículo Texto
    579. Machine-Learning Based Models for Prediction of Recurrence-free Catheter Retention After ALT Treatment of CLABSI in a Pediatric Population
  14. 36594
    “…Using different time-frames and feature sets for the data (based on laboratory data), multiple machine learning models (logistic regression, support vector machines, random forest, and gradient boosting) were evaluated on their classification performance. …”
    Enlace del recurso
    Enlace del recurso
    Enlace del recurso
    Online Artículo Texto
    A data-driven approach to predicting diabetes and cardiovascular disease with machine learning
  15. 36595
    Enlace del recurso
    Enlace del recurso
    Enlace del recurso
    Online Artículo Texto
    Prospective head-to-head comparison of accuracy of two sequencing platforms for screening for fetal aneuploidy by cell-free DNA: the PEGASUS study
  16. 36596
    “…Complex tree-based methods worked the best for both the deoxyribose dataset (Random Forest) and the ribose dataset (Classification Tree and AdaBoost), but it is worth noting that simple methods such as Linear Discriminant Analysis and Logistic Regression were very competitive in terms of classification performance. …”
    Enlace del recurso
    Enlace del recurso
    Enlace del recurso
    Online Artículo Texto
    A comparison of machine learning techniques for classification of HIV patients with antiretroviral therapy-induced mitochondrial toxicity from those without mitochondrial toxicity
  17. 36597
    Enlace del recurso
    Enlace del recurso
    Enlace del recurso
    Online Artículo Texto
    Randomised controlled trial of the short-term effects of OROS-methylphenidate on ADHD symptoms and behavioural outcomes in young male prisoners with attention-deficit/hyperactivity disorder (CIAO-II)
  18. 36598
    “…DESIGN, SETTING, AND PARTICIPANTS: A prognostic study using logistic regression with elastic net selection, gradient boosting machine (GBM), and random forest approaches was conducted at 4 tertiary academic hospitals in the United States. …”
    Enlace del recurso
    Enlace del recurso
    Enlace del recurso
    Online Artículo Texto
    Risk Stratification for Postoperative Acute Kidney Injury in Major Noncardiac Surgery Using Preoperative and Intraoperative Data
  19. 36599
    “…Data were visualized using the forest plot in RevMan 5.3 software. RESULTS: A total of 64 SRs were included. …”
    Enlace del recurso
    Enlace del recurso
    Enlace del recurso
    Online Artículo Texto
    Quality Assessment of Systematic Review of the Bariatric Surgery for Diabetes Mellitus
  20. 36600
    “…Players who underwent surgery did not see a decline in PER, games played, or win shares. Random forest modeling found that true shooting percentage and win shares per 48 minutes were the performance variables most predictive in determining which players would benefit from surgery after shoulder instability. …”
    Enlace del recurso
    Enlace del recurso
    Enlace del recurso
    Online Artículo Texto
    Performance After Operative Versus Nonoperative Management of Shoulder Instability in the National Basketball Association
Herramientas de búsqueda: RSS