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Data from: Trends in anesthesiology research: a machine learning approach to theme discovery and summarization
- 负责人：
- DOI：
- doi:10.5061/dryad.h86746g
- 摘要：
- t end, we detail a pipeline, which utilizes machine learning and natural language processing for unsupervised theme extraction, and a novel method for summar
Data from: Complexity of possibly gapped histogram and analysis of histogram
- 负责人：
- DOI：
- doi:10.5061/dryad.bs632
- 摘要：
- the minimum energy macroscopic states is surprisingly resolved by applying the hierarchical clustering algorithm. Thus, a possibly gapped histogram corresponds
Data from: Unsupervised machine learning reveals mimicry complexes in bumble bees occur along a perceptual continuum
- 负责人：
- DOI：
- doi:10.5061/dryad.sd7cd06
- 摘要：
- ross the contiguous United States and use these to quantify colour pattern mimicry using an innovative, unsupervised machine learning approach based on computer vision
Data from: An fMRI-based neural marker for migraine without aura
- 负责人：
- 关键词：
- DOI：
- doi:10.5061/dryad.2f82381
- 摘要：
- its association with treatment response. Methods: Cross-sectional studies with resting-state fMRI data from 230 participants and machine learning analyses wer
Patchy promiscuity: machine learning applied to predict the host specificity of Salmonella enterica and Escherichia coli
- 负责人：
- University Of Edinburgh;;University Of Edinburgh
- DOI：
- doi:10.7488/ds/2102
- 摘要：
- t represent a threat to human health. In this study, host specificity and zoonotic potential were predicted using machine learning in which
Data from: Behavioural compass: animal behaviour recognition using magnetometers
- 负责人：
- DOI：
- doi:10.5061/dryad.2fr72sb
- 摘要：
- cs and machine learning to recognise behaviour. We showcase the utility of our method on triaxial magnetometer data collected on ten wild Kalahari meerkats
Data from: Study of the accuracy of a machine learning muscle MRI-based tool for diagnosis the of muscular dystrophies
- 负责人：
- 关键词：
- DOI：
- doi:10.5061/dryad.7tb88vs
- 摘要：
- and files containing the numeric data were generated. Random forest unsupervised machine learning was applied to develop a model useful to identify
Data from: Global macroevolution and macroecology of passerine song
- 负责人：
- DOI：
- doi:10.5061/dryad.9sk4v
- 摘要：
- ng machine learning techniques, we extracted songs from a large citizen science dataset, and then analysed the evolution, and biotic and abiotic predictors of var
Data from: Machine learning methods for locating re-entrant drivers from electrograms in a model of atrial fibrillation
- 负责人：
- 关键词：
- targetted ablation;arrythmia;atrial fibrillation;electrograms;Machine Learning;cellular automata
- DOI：
- doi:10.5061/dryad.675260p
- 摘要：
- electrogram measurements. The method proposed employs simple, out of the box machine learning algorithms to correlate characteristic electrogram gradients
Data from: Continuous corn and corn–soybean profits over a 45-year tillage and fertilizer experiment
- 负责人：
- Cook, Rachel L.
- DOI：
- doi:10.5061/dryad.g1n25
- 摘要：
- % machinery cost increase would have made MP less profitable than NT. These findings suggest that since 1991 CS under NT carried the same potential for profit
