Finally, a machine-learning based prediction model is established for use in discriminating novel human miRNA oncogenes from tumor suppressors.
Low levels of root mean square error for the majority of inhibitors establish the docking and eMBrAcE based prediction model as an efficient tool for generating more potent and specific inhibitors of human TP IIα by testing rationally designed lead compounds based on epipodophyllotoxin derivatization.
The ANN based prediction model has provided satisfactory concentrations for all carbohydrates; the obtained response had a maximum NRMSE of 12.4% with a maximum deviation of slopes in the obtained vs. expected comparison graph of 15%.
Our results suggest that a hybrid strategy that combines similarity-based and machine-learning based prediction models can improve the accuracies of prediction for one of the investigated targets.
The base prediction model for death was built from a pool of candidate clinical variables using both statistical and clinical significance; for the purposes of this analysis, variables in the base models were retained either if they were associated with a p < 0.1, or based on known associations with mortality.
Based on "A Bayesian-based prediction model for personalized medical health care", by Jiashu Zhao, Jimmy Xiangji Huang, Xiaohua Hu, C Joseph Kurian, and William Melek which appeared in Bioinformatics and Biomedicine (BIBM), 2012 IEEE International Conference on.
To develop and provide initial validation for a multivariate, claims-based prediction model for disability status (DS), a proxy measure of performance status (PS), among older adults.
Furthermore, a support vector machine-based prediction model for intestinal bowel syndrome (IBS) was built by applying MetaDP to microbial 16S sequencing data from 108 children.
