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Data from: Predicting drug-induced liver injury using ensemble learning methods and molecular fingerprints
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DOI:
doi:10.5061/dryad.1k8m6p2
摘要:
.9±3.6%, specificity of 60.3±4.8%, and area under the receiver operating characteristic curve (AUC) of 0.764±0.026 in five-fold cross-validation and an accuracy of 84
Data from: Age, gender, neck circumference, and Epworth sleepiness scale do not predict obstructive sleep apnea (OSA) in moderate to severe
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关键词:
lung;Screening;questionnaire;survey;pulmonary rehabilitation;OSA;Sleep Apnea;OSA predictors;COPD
DOI:
doi:10.5061/dryad.80h0d
摘要:
-fold cross-validation validated our results. We found that traditional OSA predictors (e.g. gender, Epworth score) did not perform well in pati
in non-small cell lung cancer (NSCLC) – A prospective externally validated study
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关键词:
lymph nodes;Imaging analysis;PET;Radiomics
DOI:
doi:10.5061/dryad.752153b
摘要:
://www.radiomics.io/) were evaluated by univariable Cox regression on the development cohort. Prognostic modeling was conducted with a 10-fold cross-validated least
Data from: Climate, demography, and zoogeography predict introgression thresholds in Salmonid hybrid zones in Rocky Mountain streams
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关键词:
hybrid swarm;Trout;Oncorhynchus clarkii;1984-2016;hybridization;Oncorhynchus mykiss;introgression;climate change
DOI:
doi:10.5061/dryad.73s0n
摘要:
; classification success, 72–82%; 10-fold cross validation, 70–82%) and predicted that rainbow trout introgression was significantly associated with warmer
Data from: A clinical decision support system learned from data to personalize treatment recommendations towards preventing breast cancer metastasis
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关键词:
treatment;clinical;metastasis;Decision Support;Bayesian network;Breast Cancer;electronic health records;Holocene;EHR;H. sapiens
DOI:
doi:10.5061/dryad.64964m0
摘要:
r breast cancer metastasis. Results: In a 5-fold cross-validation analysis, we compared the probability of being metastasis free in 5 years for patients who mad
Data from: Rapid and accurate detection of urinary pathogens by mobile IMS-based electronic nose: a proof-of-principle study
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DOI:
doi:10.5061/dryad.v3g17
摘要:
) and logistic regression (LR). The results were validated by leave-one-out and 5-fold cross validation analysis. In discrimination of sterile and bacterial samples
; Simoes, Rolf; Carvalho, Alexandre X Y; Maciel, Adeline; Coutinho, Alexandre; Esquerdo, Julio; Antunes, Joao; Begotti, Rodrigo; Arvor, Damien; Almeida
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File content File name File format File size Uniform resource locator\/link to file Multiple investigations
DOI:
doi:10.1594/pangaea.881291
摘要:
ween crop and pasture expansion. Quality assessment using a 5-fold cross-validation of the training samples indicates an overall accuracy of 93
Data from: Mathematical modeling for the prediction of cerebral white matter lesions based on clinical examination data
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关键词:
2016-2017;cerebral white matter lesions;clinical examination data;mathematical modeling;Homo Sapiens
DOI:
doi:10.5061/dryad.73bh2q8
摘要:
ysis, logistic discrimination, Naive Bayes classifier, support vector machine, and random forest were investigated and evaluated by ten-fold cross-validation, usi
Data from: Prediction of genetic values of quantitative traits with epistatic effects in plant breeding populations
负责人:
Wang, Dong
关键词:
DOI:
doi:10.5061/dryad.2sk59
摘要:
es as measured by cross validation correlation coefficient), which is observed for multiple traits and planting locations. This points to significant potential
Data from: Accurate genomic predictions for chronic wasting disease in U.S. white-tailed deer
负责人:
关键词:
genome-wide association;chronic wasting disease;white-tailed deer;Genomic prediction ;heritability
DOI:
doi:10.5061/dryad.xd2547dcw
摘要:
; n = 123,987 SNPs) with?k-fold cross validation (k?= 3;?k?= 5) and random sampling (n = 50 iterations) for the same cohort of 807

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