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  1. 37341
    “…Using the preprocessed data and following a supervised machine learning approach, various classification algorithms such as Support Vector Machine, Decision Tree, Random Forest, and K-Nearest Neighbours (KNN) were used to develop models for 3 different contexts. …”
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    Detecting Subclinical Social Anxiety Using Physiological Data From a Wrist-Worn Wearable: Small-Scale Feasibility Study
  2. 37342
    “…SIMPLE SUMMARY: Larvae of sawflies within the family Diprionidae feed on conifer needles and can cause significant damage to a tree by reducing its growth rate and even causing its death. In forest protection, it is therefore important to make use of various tools to detect the potentially harmful species, and the chemical signals emitted by female sawflies to attracts males, i.e., sex pheromones, have been identified for several species. …”
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    Sex Pheromone of the Introduced Pine Sawfly, Diprion similis, Revisited to Define a Useful Monitoring Lure: Deviating Chiral Composition and Behavioural Responses Compared to Earlier Reports
  3. 37343
    por Pretzsch, H, Schütze, G
    Publicado 2021
    “…The efficiency increase of growth may depend on the growth-limiting factor that is remedied by mixture and thus be co-determined by the site conditions. For forest management, the results indicate increased stand and tree size growth by species mixing. …”
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    Tree species mixing can increase stand productivity, density and growth efficiency and attenuate the trade-off between density and growth throughout the whole rotation
  4. 37344
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    BRAFV600E mutation is associated with aggressive features in papillary thyroid carcinomas ≤ 1.5 cm
  5. 37345
    por Doyle, Riccardo
    Publicado 2021
    “…The baseline accuracy of a random forest classifier increased from 89.2% (95% CI 88.0%-90.4%) to 92.5% (95% CI 91.9%-93.0%) when training on 7 chi-square–extracted features and to 90.8% (95% CI 89.8%-91.7%) when training on 7 mutual information–extracted features. …”
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    Machine Learning–Based Prediction of COVID-19 Mortality With Limited Attributes to Expedite Patient Prognosis and Triage: Retrospective Observational Study
  6. 37346
    “…We performed genotypic susceptibility testing for both first- and second-line drugs using a previously validated random forest predictor. We identified single nucleotide polymorphisms and generated a multiple sequence alignment excluding drug resistance conferring mutations to avoid skewing the phylogeny due to convergent evolution in these regions. …”
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    1397. Modern Lineages of Mycobacterium tuberculosis Were Recently Introduced in Western India and Demonstrate Increased Transmissibility
  7. 37347
    “…After the patients were divided into the training set and test set by the stratified random sampling method, prediction models were constructed using Cox regression and random forests (RF). Results: At the end of the study, 26.4% (255/967) of the patients suffered from FOG. …”
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    Constructing Prediction Models for Freezing of Gait by Nomogram and Machine Learning: A Longitudinal Study
  8. 37348
    “…The Lasso‐logistic regression, multivariate adaptive regression splines (MARS), classification and regression tree (CART), random forest (RF), and eXtreme gradient boosting (XGBoost) algorithms were used to construct risk prediction models in the training set, and model performance was verified in the validation set. …”
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    Machine learning‐based risk prediction of malignant arrhythmia in hospitalized patients with heart failure
  9. 37349
    “…Fixed- and random-effects models were used and forest plots drawn. Egger regressions and/or funnel plots were used to assess publication biases. …”
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    Effects of Novel versus Conventional Porcelain Surface Treatments on Shear Bond Strength of Orthodontic Brackets: A Systematic Review and Meta-Analysis
  10. 37350
    “…Most of the studies belonged to Europe (17/31) and Asia (9/31). Forest plot showed a pooled rate of biofilm formation of 80.0% (CI: 67–90), with high heterogeneity (Q = 2567.45, I(2) = 98.83, τ(2) = 0.150) in random effects model (p < 0.001). …”
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    Prevalence of biofilms in Candida spp. bloodstream infections: A meta-analysis
  11. 37351
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    A Comprehensive Phylogenomic Platform for Exploring the Angiosperm Tree of Life
  12. 37352
    “…Results were presented in the forest plot, tables, and figures with a 95% confidence interval (CI). …”
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    Prevalence and drug resistance patterns of Gram-negative enteric bacterial pathogens from diarrheic patients in Ethiopia: A systematic review and meta-analysis
  13. 37353
    “…In terms of predicting post-vaccination side effects, gradient boost, random forest, and XGBoost outperformed other ML methods. …”
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    Reported Adverse Effects and Attitudes among Arab Populations Following COVID-19 Vaccination: A Large-Scale Multinational Study Implementing Machine Learning Tools in Predicting Post-Vaccination Adverse Effects Based on Predisposing Factors
  14. 37354
    “…The concentrations of 13 cytokines were measured in the supernatants. Random forest analysis identified the best markers to differentiate M. tuberculosis-infected from non-infected subjects, and the most appropriate markers to differentiate aTB from LTBI. …”
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    Immuno-Diagnosis of Active Tuberculosis by a Combination of Cytokines/Chemokines Induced by Two Stage-Specific Mycobacterial Antigens: A Pilot Study in a Low TB Incidence Country
  15. 37355
    “…K-nearest neighbors (KNN) and random forest (RF) machine learning models were used. Performance was evaluated using an area under the receiver-operator characteristic curve (AUC-ROC) score. …”
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    FDG PET/CT radiomics as a tool to differentiate between reactive axillary lymphadenopathy following COVID-19 vaccination and metastatic breast cancer axillary lymphadenopathy: a pilot study
  16. 37356
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    COVID-19 Vaccine Triggered Rejection in Lung Transplant Recipients: A Case Series
  17. 37357
    “…Our results suggest that trees are not always better off in diverse forests, as large trees surrounded by distantly related species might actually suffer more insect damage. …”
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    What Drives Caterpillar Guilds on a Tree: Enemy Pressure, Leaf or Tree Growth, Genetic Traits, or Phylogenetic Neighbourhood?
  18. 37358
    “…BACKGROUND: Open defecation is the disposal of human faeces in the fields, forests, bushes, and open bodies of water. It is practiced more in sub-Saharan African countries and is considered a sign of underdevelopment. …”
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    Spatiotemporal distribution and determinants of open defecation among households in Ethiopia: A Mixed effect and spatial analysis
  19. 37359
    “…The wisent is the largest mammal in Europe, and is called the “Forest Emperor”. The wisent is listed as “Vulnerable” on the IUCN Red List, and is protected by international law. …”
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    Establishment of a Wisent (Bison bonasus) Germplasm Bank
  20. 37360
    “…DESIGN, SETTING, AND PARTICIPANTS: Using Michigan Urological Surgery Improvement Collaborative (MUSIC) registry data from 2016 to 2021, we developed dynamic, multivariate, random-forest models to predict sexual function recovery following RP. …”
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    Development and Validation of Dynamic Multivariate Prediction Models of Sexual Function Recovery in Patients with Prostate Cancer Undergoing Radical Prostatectomy: Results from the MUSIC Statewide Collaborative
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