Biomedical Statistics and Informatics

Volume 2, Issue 1, March 2017

  • Quantitative Prediction of Linear B-Cell Epitopes

    Raul Isea

    Issue: Volume 2, Issue 1, March 2017
    Pages: 1-3
    Received: 7 December 2016
    Accepted: 26 December 2016
    Published: 21 January 2017
    DOI: 10.11648/j.bsi.20170201.11
    Abstract: In scientific literature, there are many programs that predict linear B-cell epitopes from a protein sequence. Each program generates multiple B-cell epitopes that can be individually studied. This paper defines a function called <C > that combines results from five different prediction programs concerning the linear B-cell epitopes (ie., Beb... Show More
  • Analyses of Prevalence of Mental Illness and Associated Characteristics in Anambra State

    Igweze Amechi Henry, Ashinze Akudo Nwankpa, Edike Collins Cornelius

    Issue: Volume 2, Issue 1, March 2017
    Pages: 4-9
    Received: 22 December 2016
    Accepted: 3 January 2017
    Published: 24 January 2017
    DOI: 10.11648/j.bsi.20170201.12
    Abstract: This study on the prevalence of mental illness and associated characteristics in Anambra State was aimed at determining the prevalence of mental illness by age, sex and period of the year. It was also aimed at determining the relationship between mental illness diagnosis and the studied characteristics. Descriptive statistics, chi-square test of as... Show More
  • Effect of Food Habits on the Nutritional Status of Children in Cairo

    Hanan A. Hussien

    Issue: Volume 2, Issue 1, March 2017
    Pages: 10-17
    Received: 27 November 2016
    Accepted: 29 December 2016
    Published: 25 January 2017
    DOI: 10.11648/j.bsi.20170201.13
    Abstract: In this study, 190 students (100 females and 90 males) aged 10-12 years of a selected sample from elementary school students in Cairo were chosen to investigate the effect of food habits and nutritional behaviors on their nutritional status. Our study revealed that 82.2% of children reported having breakfast, 57.5% of those had breakfast at home. M... Show More
  • Hospital Equipment Management in District Base Hospitals in Kalutara District in Sri Lanka

    Dellabada Batawalage Ayanthi Saranga Jayawardena

    Issue: Volume 2, Issue 1, March 2017
    Pages: 18-21
    Received: 8 December 2016
    Accepted: 3 January 2017
    Published: 29 January 2017
    DOI: 10.11648/j.bsi.20170201.14
    Abstract: Introduction: Medical equipment management is important as human resource management to function a hospital in a maximum capacity. Accurate and comprehensive data are needed in order to have a good equipment management. It has several domains such as, procurement, accept, inspect, install, ensure performance within the accepted standards, safe and ... Show More
  • Automatic Detection and Segmentation of Kidneys in Magnetic Resonance Images Using Image Processing Techniques

    Mariam Saii, Zaid Kraitem

    Issue: Volume 2, Issue 1, March 2017
    Pages: 22-26
    Received: 27 December 2016
    Accepted: 12 January 2017
    Published: 4 February 2017
    DOI: 10.11648/j.bsi.20170201.15
    Abstract: Kidney Detection and Segmentation in MR images allows extracting meaningful information for nephrologists, also for practical use in clinical routine, thus we should apply an fast, automatic and robust algorithm. We demonstrate the possibility of construct an algorithm that achieve these requirements. Therefore, a novel kidney segmentation algorith... Show More
  • Multilevel Logistic Modeling of Adult Mortality Among Regional States in Ethiopia

    Kassaye Wudu Seid, Ayele Taye Goshu

    Issue: Volume 2, Issue 1, March 2017
    Pages: 27-36
    Received: 16 December 2016
    Accepted: 27 December 2016
    Published: 13 February 2017
    DOI: 10.11648/j.bsi.20170201.16
    Abstract: The purpose of this study is to investigate adult mortality variations among regional states in Ethiopia. Data from Ethiopian Demographic and Health Survey (EDHS 2011) are used. Multilevel logistic regression model is fitted to the data. The findings show that the correlates of adult mortality are adult's age, age of household head, sex of househol... Show More