“…In terms of waiting time prediction, machine learning models, specifically random forest, LightGBM, and XGBoost, outperformed regression methods. …”
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“…[Figure: see text] [Figure: see text] Forest plots showing the adjusted odds ratios and 95% confidence intervals for successful cascade navigation in the pre-pandemic (A) and intra-pandemic (B) cohorts. …”
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“…Cox-regression models were used to assess survival as the primary endpoint and were adjusted for limiting prognostic factors, which were measured for their importance using a random forest model (RFM). RESULTS: 952 patients with 916 episodes of enterococcal BSI and 193 E. coli BSI episodes were analysed. …”
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“…Homogeneity analysis, forest plot review, and sensitivity analyses were performed to ascertain the comparability of the studies. …”
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“…BACKGROUND: Lepidoptera represents more than 160,000 insect species which include some of the most devastating pests of crops, forests, and stored products. However, the genomic information on lepidopteran insects is very limited. …”
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“…METHODS: The ecological information regarding ethnomedicinal plants was collected in three different climatic regions (tropical, sub-tropical and temperate) for species composition in different forest layers. The ecological information was assessed using the quadrate sampling method. …”
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“…Most species belong to the litter fauna of primary wet evergreen forests. This habitat has become highly fragmented in the study area and many of its remnants harbor endemic species. …”
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“…G6PD deficiency seemed to be protective against P knowlesi (aOR 0·20, 95% CI 0·04–0·96, p=0·045), as did residual insecticide spraying of household walls (0·52, 0·31–0·87, p=0·014), with the presence of young sparse forest (0·35, 0·20–0·63, p=00040) and rice paddy around the house (0·16, 0·03–0·78, 0·023) also associated with decreased risk. …”
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“…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, MedImmune, Cerexa/Forest/Actavis/Allergan, Pfizer, Advanced Liquid Logics, Theravance, Novartis, Cubist/Merck; Medical Biosurfaces; Locus; Affinergy; Contrafect; Karius: Grant Investigator, Grant recipient; Green Cross, Cubist, Cerexa, Durata, Theravance; Debiopharm: Consultant, Consulting fee; UpToDate: Royalties, Royalties…”
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“…Fowler Jr., Karius, Inc: Grant Investigator, Grant recipient 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, MedImmune, Cerexa/Forest/Actavis/Allergan, Pfizer, Advanced Liquid Logics, Theravance, Novartis, Cubist/Merck; Medical Biosurfaces; Locus; Affinergy; Basilea; Contrafect; Karius: Grant Investigator, Grant recipient Green Cross, Cubist, Cerexa, Durata, Theravance; Debiopharm: Consultant, Consulting fee UpToDate: Royalties, Royalties…”
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“…Comparison of microbial features at time of admission using random forest revealed a higher abundance of Enterococcus and Escherichia OTUs in controls vs cases. …”
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“…FUNDING: Comprehensive Cancer Center of Wake Forest Baptist Medical Center…”
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“…This reference model was then compared with 2 machine learning models, random forest (RF) and gradient boosting classifier (GBC). …”
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“…Murray, Paratek pharmaceuticals: Consultant and Scientific Advisor, Consulting fee and Speaker honorarium; Forest/Actavis: Grant Investigator, Grant recipient; Cubist/Merck: Grant Investigator, Grant recipient. …”
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“…We compared our GHT DEG with plasma transcriptome libraries from healthy pregnant women in the second and third trimesters (access number: GSE56899) available in GEO Dataset (ncbi.nlm.nih.gov/geo) using the limma package 3.26.8, p <0,05. We also used Random Forest (RF) analysis to rank the variables, Spearman Correlation, and multiclass ROC. …”
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“…Findings were tabulated or combined by use of forest plots (random-effects meta-analysis). We also did preliminary estimates on costs and environmental savings potentially associated with cups. …”
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“…High-dimensional data analysis and dimension reduction techniques integrated metabolites, cytokines, chemokines, and clinical data to identify pathways of WTC-LI on curated data. Random Forest (RF) out-of-bag estimated success rates were used to measure classification utility of the refined biomarker profile. …”
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“…Then, we used this human classification as reference standard and trained 4 machine learning models (random forest, k-nearest neighbors, support vector machines, and L1-regularized logistic regression). …”
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“…Statistical analysis was based on a random effects model from which forest plots were generated. Effect sizes were reported as the standardized mean difference (SMD) with 95% confidence intervals (CI). …”
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“…Predictive models were built using multiple machine learning techniques - random forest plots, linear regression and gradient boosting, to predict the target scores based on phone usage patterns. …”
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