J Biomed Inform 2017 04 8;68:132-149. Epub 2017 Mar 8.
Scientific Research Group in Egypt (SRGE), Egypt(1); Faculty of Computers and Information, Cairo University, Egypt. Electronic address:
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Sci Rep 2016 12 9;6:38660. Epub 2016 Dec 9.
Scientific Research Group in Egypt, (SRGE), Cairo, Egypt.
Measuring toxicity is one of the main steps in drug development. Hence, there is a high demand for computational models to predict the toxicity effects of the potential drugs. In this study, we used a dataset, which consists of four toxicity effects:mutagenic, tumorigenic, irritant and reproductive effects. Read More
IEEE Trans Neural Netw Learn Syst 2017 Oct 10. Epub 2017 Oct 10.
Historical data sets for fault stage diagnosis in industrial machines are often imbalanced and consist of multiple categories or classes. Learning discriminative models from such data sets is challenging due to the lack of representative data and the bias of traditional classifiers toward the majority class. Sampling methods like synthetic minority oversampling technique (SMOTE) have been traditionally used for such problems to artificially balance the data set before being trained by a classifier. Read More
BMC Bioinformatics 2017 Mar 14;18(1):169. Epub 2017 Mar 14.
School of Information Science and Technology, Jinan University, Guangzhou, 510632, China.
Background: The random forests algorithm is a type of classifier with prominent universality, a wide application range, and robustness for avoiding overfitting. But there are still some drawbacks to random forests. Therefore, to improve the performance of random forests, this paper seeks to improve imbalanced data processing, feature selection and parameter optimization. Read More
J Med Syst 2016 Jan 14;40(1):35. Epub 2015 Nov 14.
School of Dentistry, College of Oral Medicine, Taipei Medical University, Taipei 110, Taiwan, Republic of China.
Brain metastases are commonly found in patients that are diagnosed with primary malignancy on their lung. Lung cancer patients with brain metastasis tend to have a poor survivability, which is less than 6 months in median. Therefore, an early and effective detection system for such disease is needed to help prolong the patients' survivability and improved their quality of life. Read More