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In conclusion, plasma SDF-1 may play a role in the clinical assessment of the severity of CAP and can potentially guide the development of treatment methods and predict clinical outcomes.
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The results show the superiority of the proposed model in comparison with existing methods and predicted values are in good agreement with the experimental data.
Appropriate explanations were provided to the subjects for important factors including the study purpose, contents, methods, and predicted adverse reactions.
Additional details for the methods and predicted structure models are available at the CRW http://www.rna.ccbb.utexas.edu/, http://www.rna.ccbb.utexas.edu/CAR/1D/; the CRW contains supplemental information http://www.rna.ccbb.utexas.edu/SIM/4A/Fragmented_Mollusk/.
We use a Bayesian posterior inference method and predict experimentally feasible scenarios to purposively reduce uncertainty in the model trajectories.
The mathematical calculations provide the conceptual foundation for the method and predict its performance given a basic evolutionary model for sequence divergence.
Q-PALMA[ 17] is an implement of statistical way, it detects splice junctions using machine-learning method and predict splice sites using mapped reads as training model.
The predictor analyses showed that the number of short-term days in nursing homes were independent of gender, age, marital status, emotional status, diagnoses and the rehabilitation method and predicted negatively by cognitive status and SI at end of rehabilitation.
The best performing algorithm used a response mapping method and predicted the mean EQ-5D with accuracy with an average root mean squared error of 0.17 (Standard Deviation; 0.22).
The raw survey data permit the use of statistical methods to explain and predict how individuals vote.
WEKA's forecasting tool employs a set of regression based learning methods to model and predict time series data.
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