Materias dentro de su búsqueda.
Mostrando 36,741 - 36,760 Resultados de 37,890 Para Buscar '"forestal"', tiempo de consulta: 0.74s Limitar resultados
  1. 36741
    “…Delta-radiomics texture features were calculated after delivery of 20 Gy BED (BED20 features) and 40 Gy BED (BED40 features). A random forest (RF) model was constructed using BED20 and then BED40 features to predict binary outcome. …”
    Enlace del recurso
    Enlace del recurso
    Enlace del recurso
    Online Artículo Texto
    Predictive Value of Delta-Radiomics Texture Features in 0.35 Tesla Magnetic Resonance Setup Images Acquired During Stereotactic Ablative Radiotherapy of Pancreatic Cancer
  2. 36742
    “…METHODS: Three epilepsy datasets (GSE16969, GSE32534 and GSE143272) were screened to obtain differentially expressed immune-related genes (DEIRGs). Random forest (RF) and protein–protein interaction (PPI) network were constructed to identify core genes. …”
    Enlace del recurso
    Enlace del recurso
    Enlace del recurso
    Online Artículo Texto
    Characterization of Immune-Related Genes and Immune Infiltration Features in Epilepsy by Multi-Transcriptome Data
  3. 36743
    “…Besides, the established support vector machine (SVM), decision tree (DT), and random forest (RF) prediction models were used to predict e-MCI. …”
    Enlace del recurso
    Enlace del recurso
    Enlace del recurso
    Online Artículo Texto
    Prediction of Early Alzheimer Disease by Hippocampal Volume Changes under Machine Learning Algorithm
  4. 36744
    “…Standardized mean difference (SMD) and 95% confidence intervals (CIs) were calculated to generate a forest plot. In addition, subgroup analysis, moderation analysis, and regression analysis were performed to explore the possible adjustment factors. …”
    Enlace del recurso
    Enlace del recurso
    Enlace del recurso
    Online Artículo Texto
    Effect of Physical Activity on Cognitive Impairment in Patients With Cerebrovascular Diseases: A Systematic Review and Meta-Analysis
  5. 36745
    “…Pongo pygmaeus, Pongo tapanuliensis and Pongo abelii are the three most representative species, in this study, here we discussed the latter. Sumatran forests are generally suffering from deforestation with rates ranging from 3.74% to 49.85% between 2000 and 2012. …”
    Enlace del recurso
    Enlace del recurso
    Enlace del recurso
    Online Artículo Texto
    Nest Characteristics of the Sumatran Orangutan (Pongo abelii) in the Wildlife Sanctuary Soraya Station in Aceh Province, Indonesia
  6. 36746
    “…The software RevMan 5.4 was used to run the quantitative analysis and forest plots, while the Cochrane tool was employed for risk of bias assessment. …”
    Enlace del recurso
    Enlace del recurso
    Enlace del recurso
    Online Artículo Texto
    Adverse Events and Tolerability of Combined Durvalumab and Tremelimumab versus Durvalumab Alone in Solid Cancers: A Systematic Review and Meta-Analysis
  7. 36747
    “…Adaptive boosting and random forest in combination with advMRI and phyMRI data were superior to human reading in accuracy (0.875 vs. 0.850), precision (0.862 vs. 0.798), F-score (0.774 vs. 0.740), AUROC (0.886 vs. 0.813), and classification error (5 vs. 6). …”
    Enlace del recurso
    Enlace del recurso
    Enlace del recurso
    Online Artículo Texto
    Radiophysiomics: Brain Tumors Classification by Machine Learning and Physiological MRI Data
  8. 36748
    “…Using this data set, we describe the probabilistic landscape of semiological localizing values as forest plots at the resolution of seven major brain regions: temporal, frontal, cingulate, parietal, occipital, insula, and hypothalamus, and five temporal subregions. …”
    Enlace del recurso
    Enlace del recurso
    Enlace del recurso
    Online Artículo Texto
    Probabilistic landscape of seizure semiology localizing values
  9. 36749
    “…A 3D shape atlas-based approach was adopted to derive prostate shape distension descriptors from T2WI, and these descriptors were used to train a random forest classifier (C(S) ) to predict BCR. Texture radiomics was derived within PCa regions of interest from T2WI and ADC maps, and another machine learning classifier (C(R) ) was trained for BCR. …”
    Enlace del recurso
    Enlace del recurso
    Enlace del recurso
    Online Artículo Texto
    Prostate Surface Distension and Tumor Texture Descriptors From Pre-Treatment MRI Are Associated With Biochemical Recurrence Following Radical Prostatectomy: Preliminary Findings
  10. 36750
    Enlace del recurso
    Enlace del recurso
    Enlace del recurso
    Online Artículo Texto
    Impact of Hyperglycemia on Cardiovascular Events and Clinical Outcomes in Patients Hospitalized With COVID-19 Pneumonia
  11. 36751
    “…RESULTS: Boruta algorithm selected the optimal subset consisting of 13 features, including two clinical features, two laboratory indicators, and nine PEF/CT radiomic features. The Random Forest (RF) model and Support Vector Machine (SVM) model in the training group showed the best performance. …”
    Enlace del recurso
    Enlace del recurso
    Enlace del recurso
    Online Artículo Texto
    The Machine Learning Model for Distinguishing Pathological Subtypes of Non-Small Cell Lung Cancer
  12. 36752
    por Qian, Hanrui, Li, Wenbo, Li, Jinhua
    Publicado 2022
    “…SIMPLE SUMMARY: Seed dispersal by frugivores is critical to forest regeneration. However, the Tibetan macaque’s seed dispersal function and the effect of seed physical characteristics on seed dispersal effectiveness need to be confirmed. …”
    Enlace del recurso
    Enlace del recurso
    Enlace del recurso
    Online Artículo Texto
    The Influence of Seed Characteristics on Seed Dispersal Early Stages by Tibetan Macaques
  13. 36753
    “…We evaluate our models based on stratified repeated cross-validation using 3 algorithms, namely Logistic Regression, Random Forest, and Bidirectional Long Short-Term Memory (BiLSTM). …”
    Enlace del recurso
    Enlace del recurso
    Enlace del recurso
    Online Artículo Texto
    Delirium prediction in the ICU: designing a screening tool for preventive interventions
  14. 36754
    “…Pooled results were presented as L’Abbé plot and forest plot. Funnel plot and Egger’s test were employed for evaluation of publication bias. …”
    Enlace del recurso
    Enlace del recurso
    Enlace del recurso
    Online Artículo Texto
    Efficacy and Safety Profile of Histone Deacetylase Inhibitors for Metastatic Breast Cancer: A Meta-Analysis
  15. 36755
    “…We sought to evaluate postoperative complications, and results were expressed as odds ratio (OR) with 95% confidence interval (CI). Forest plots, sensitivity analysis, funnel plots, Egger’s test, and risk bias analysis were also performed on the included articles by using the Newcastle-Ottawa scale (NOS). …”
    Enlace del recurso
    Enlace del recurso
    Enlace del recurso
    Online Artículo Texto
    The better surgical timing and approach for orbital fracture: a systematic review and meta-analysis
  16. 36756
    “…Six different advanced machine-learning models, including logistics regression (LOG), random forest (RF), K-nearest neighbors (KNN), support-vector machine (SVM), eXtreme Gradient Boosting (XGBoost), and Light Gradient Boosting Machine (LightGBM), were introduced for modelling. …”
    Enlace del recurso
    Enlace del recurso
    Enlace del recurso
    Online Artículo Texto
    Development and validation of a machine-learning model for prediction of hypoxemia after extubation in intensive care units
  17. 36757
    “…Here we use a machine learning model to unravel the most appropriate markers for prediction of KMT2A-r in various types of acute leukemia. A Random Forest and LightGBM classifier was trained to predict KMT2A-r in patients with acute leukemia. …”
    Enlace del recurso
    Enlace del recurso
    Enlace del recurso
    Online Artículo Texto
    Novel Diagnostic and Therapeutic Options for KMT2A-Rearranged Acute Leukemias
  18. 36758
    Enlace del recurso
    Enlace del recurso
    Online Artículo Texto
    311 Rib Fractures in Geriatric Trauma: A Review of 1,037 Cases at a Single Level I Trauma Center
  19. 36759
    “…Models were generated using random forest, extreme gradient boosting, adaptive boosting, or elastic net penalized logistic regression, and an additional model was produced as a weighted ensemble of the 4 final algorithms. …”
    Enlace del recurso
    Enlace del recurso
    Enlace del recurso
    Online Artículo Texto
    A Machine Learning Algorithm Outperforms Traditional Multiple Regression to Predict Risk of Unplanned Overnight Stay Following Outpatient Medial Patellofemoral Ligament Reconstruction
  20. 36760
    “…In turn, for the sustainable use of plum resources, the Bai people positively manage local forests through a series of measures to protect the diversity of plum resources and related plant communities.…”
    Enlace del recurso
    Enlace del recurso
    Enlace del recurso
    Online Artículo Texto
    Meizi-Consuming Culture That Fostered the Sustainable Use of Plum Resources in Dali of China: An Ethnobotanical Study
Herramientas de búsqueda: RSS