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  1. 37561
    “…To identify associations with MI we utilized recursive partitioning and random forest prior to logistic regression and chi-squared analyses. …”
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  2. 37562
  3. 37563
    “…Understanding the response of biomass allocation in twigs (the terminal branches of current-year shoots) to environmental change is crucial for elucidating forest ecosystem carbon storage, carbon cycling, and plant life history strategies under a changing climate. …”
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  4. 37564
    “…Both species live in the same dry deciduous forest of northwestern Madagascar and cope with the same climatic constraints, they are arboreal, nocturnal, cat-sized and pair-living but differ prominently in sleeping site ecology. …”
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  5. 37565
    “…Fowler Jr., Pfizer, Novartis, Galderma, Novadigm, Durata, Debiopharm, Genentech, Achaogen, Affinium, Medicines Co., Cerexa, Tetraphase, Trius, MedImmune, Bayer, Theravance, Cubist, Basilea, Affinergy, Janssen, xBiotech, Contrafect: Consultant, Consulting fee; NIH, Basilea, MedImmune, Cerexa/Forest/Actavis/Allergan, Pfizer, Advanced Liquid Logics, Theravance, Novartis, Cubist/Merck; Medical Biosurfaces; Locus; Affinergy; Contrafect; Karius: Grant Investigator, Research grant; Green Cross, Cubist, Cerexa, Durata, Theravance; Debiopharm: Consultant, Consulting fee; UpToDate: author on several chapters, Royalties…”
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  6. 37566
    por Wei, Qinghui, Zhao, Min, Li, Xiaoyan
    Publicado 2017
    “…MATERIALS AND METHODS: Samples of C. majus L., which were wild used in this experiment, were picked from Harbin experimental forest farm of Northeast Forestry University. An L(9) (3(4)) orthogonal experiment was designed to optimize the ultrasonic extraction method. …”
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  7. 37567
    “…We determine the optimal reconstruction method for four microbiome projects that had variable sequencing platforms (IonTorrent and Illumina), diversity (high or low), and environment (coral reefs and kelp forests), using a set of parameters to select for optimal assembly and binning tools. …”
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  8. 37568
  9. 37569
    “…In multivariable analysis, the main risk factors included having any other cases within the household [aOR 12.83 (95% CI 4.40 to 37.38), p < 0.001]; and lack of bed net ownership within the household [aOR 10.91 (95% 5.42–21.94), p < 0.001]; age, sex and forest-travel were not associated with parasitaemia. …”
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  10. 37570
    “…However, the response rates for the last 2 surveys were only 48% and 10%, respectively. A random forest was used to estimate the probability of the completion of the last 2 surveys based on the preprogram assessment data and the demographic data for the entire sample (N=178,350). …”
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  11. 37571
    “…Trials were categorised as sedentary (SED), standing utilitarian movements (SUM), comfortable walking (CW), and brisk walking (BW). Random forest (RF), support vector machine (SVM), and binary decision tree (BDT) classifiers were trained with features extracted from the vector magnitude (VM) of the raw acceleration signal using 10 s non-overlapping windows. …”
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  12. 37572
    por Huang, Glen, Barnes, Erin, Peacock, James
    Publicado 2018
    “…METHODS: Patients ≥18 years old seen at Wake Forest Baptist Medical Center from 2004–2017 with an ICD-9 or -10 diagnosis of IE who met Duke criteria for IE and who self-reported IDU in the 3 months prior to admission were identified. …”
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  13. 37573
    “…Least absolute shrinkage and selection operator (lasso) penalized logistic regression, random forest models, and extreme gradient boosted decision trees were trained on this surgical cohort with cross-validation on 14 specific postoperative outcome groupings. …”
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  14. 37574
    “…Structure-based and physical-chemical descriptors were used as the basis for developing SAR models by the decision forest method. Thirty-three potent inhibitors and 88 weak inhibitors of CYP3A4 were used to train the models. …”
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  15. 37575
    “…METHODS: From June to August 2016 the protective efficacy of treatments were compared in a secondary forest during the afternoon and a village during the evening. …”
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  16. 37576
    “…We used two supervised analysis methods i.e., between class analysis (BCA) and principal component analysis (PCA) to reveals distinct biomarkers profiles. Further, random forest classification (RF) was used to classify the diseases by the panel of markers. …”
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  17. 37577
    “…A3ID utilizes a random forest classifier with a connected-components algorithm and post-processing filters for size and shape. …”
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  18. 37578
    “…Finally, we examined ecological relationships with site-level NNPI status using a random forest (RF) analysis with NNPI as the response variable and predictor variables including ecoregion, wetland type, and a variety of characteristics describing natural vegetation structure, environment, and human-mediated disturbance. …”
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  19. 37579
    “…We performed parallel random forest models predicting separately PET and CSF status using 17 patient features (demographics, APOE4 positivity, CSF (p)tau, cognitive performance, and MRI visual ratings) in the total patient group and stratified by syndrome diagnosis. …”
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  20. 37580
    “…STUDY APPRAISAL AND SYNTHESIS METHODS: We used a forest plot, heterogeneity test (Cochran’s Q), and the degree of heterogeneity (I(2)) to test whether the included studies were heterogeneous. …”
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