Volume 4 Issue 2

Authors: Fawaz AL-Hazemi

Abstract: Chronic disease is linked to patient’s’ lifestyle. Therefore, doctor has to monitor his/her patient over time. This may involve reviewing many reports taken over short and long periods. Computer applications made it possible to visualize these reports on single displayer such as a timeline-based visualization tool. However, there is a limitation of studying the diabetes patient’s history to find out what was the cause of the current development in patient’s condition. In this paper, we propose a workflow system which uses the Grid-based Interactive Diabetes System (GIDS) to support diabetes analysis. Technically, the workflow uses an agglomerative clustering algorithm as clustering correlation algorithm which reduces the revision of long reports and focus on vital incidences. However, if doctor demands to review the full reports, the workflow displays the original reports. Through basic evaluation experiment, we were able to demonstrate the usability of the system as chronic patient’s multi visualizer.

Keywords: Bioinformatics; Chronological Clustering; Grid Computing; Diabetes; Problem Solving Environment; Timeline Visualization


Authors: Prabhat Kumar Nigam

Abstract: The accurate and precise estimation of LDL-cholesterol is of utmost importance in the patients of coronary heart disease. Friedewald’s formula is the most commonly used method for the measurement of LDL-cholesterol in routine clinical laboratories. This formula has certain limitations and to overcome these limitations, several modifications in this classical formula have been suggested and validated against the directly measured LDL-cholesterol values. In this article the utility of these modified formulas has been discussed.

Keywords: Friedewald’s Formula; LDL– Cholesterol; Modified Formulas