Roziah Mohd Janor

TL;DR: In this paper, the authors used Data Envelopment Analysis (DEA) to measure relative efficiency of twenty two academic departments of a public university in Malaysia using data collected for the year 2011.

TL;DR: In this article, a metric scale can be generated based on three main features, and results from a repeated measurement survey is presented to verify the generated scale. And the design of the generated metric scale is introduced and named Ruler and Option (RO).

TL;DR: The experiments indicate that Neuro-fuzzy model is better than logistic regression and ANN and Artificial neural network in predicting students’ academic performance in the under-graduate degree program.

TL;DR: The current study successfully unraveling the potential of personal genome sequencing in understanding the functionally relevant variations with potential influence on drug transport, metabolism and differential therapeutic outcomes will be essential for realizing personalized medicine through the use of comprehensive computational pipeline for systematic data mining and analysis.

TL;DR: In this article, a comprehensive pathway map of drug transport, metabolism and action was used as a template to map non-synonymous variations with potential functional consequences, and over 3 million known variations and 100,898 novel variations in the Malay genome were identified.