#biometric applications

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Iris Publishers | Open access journals of Biostatistics & Biometric Applications

Digital Signal Processing for Analytics in Biostatistics & Biometric Applications

All the biostatistics and biometric applications suffer from the effects of added noise due to their data dependency. The quality of data and impurities due to noise could affect the decisions made based on these datasets. Detecting anomalies caused by noisy datasets requires special preprocessing techniques that do not hurt the integrity of data. The authors have developed computationally low power, low bandwidth, and low-cost filters (DMAW) that will remove the noise, compress the dataset, and decompose the dataset so that a decision can be made by looking at different layers of data. This wavelet-based method is guaranteed to converge to a stationary point for both uncorrelated and correlated data. Presented here is the theoretical background with examples showing the performance and merits of this novel approach compared to other alternatives.

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Iris Publishers | Open access journals of Biostatistics & Biometric Applications

The Ampadu-G Family of Distributions with Application to the T − X (W) Class of Distributions

The T − X (W)family of distributions appeared in [1]. In this paper, inspired by the structure of the CDF in the Zubair-G class of distributions [2], we introduce a new family of distributions called the Ampadu-G class of distributions, and use it to obtain a new class of distributions which we will call the AT − X (W) class of distributions, as a further application of the T − X (W)framework. Sub-models of the Ampadu-G class of distributions and the AT − X (W) class of distributions are shown to be practically significant in modeling real-life data. The Ampadu-G class of distributions is seen to be strikingly similar in structure to the Exponentiated EP (EEP) model contained in [3], and the Zubair-G class of distributions is seen to be strikingly similar in structure to the Complementary exponentiated Weibull-Poisson (CEWP) model contained in [4].

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Iris Publishers_Open access journals of Behaviometrics

Determine Significant Factors Related to Malaria among Pregnant Women in Nigeria by Logistic Regression Analysis

Objectives: Malaria during antenatal period was a major health problem that lead to both mother and child death. The aim of this study is to assess the predictors of malaria during pregnancy among six states of Nigeria based on anti-malarial pill prescribed to pregnant women by the health facility.

Methods: The analysis involves chi-square test for independent association between the predictors and risk of malaria diagnosis among the qualitative variables, Mann Whitney u test for quantitative variables and binary logistic regression for the multivariate analysis.

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Iris Publishers_Online Journals of Biostatistics & Biometric Applications

Authored by  Tim Marler and Dona Odell

Biology: In the Language of the People

As technology and the ability to gather ever-growing amounts of data move further into the realms of biology and human performance, communication and transparency become increasingly important. As scientists, engineers, and medical practitioners, we can often lose sight of the idea that this communication should extend to the non-technical public. In the words of William Butler Yeats, “Think like a wise man but communicate in the language of the people.” We would all do well to remember such advice even during scientific pursuits and documentation.

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Iris Publishers_Computer Science

Authored by  Rama Shanker

A Two-Parameter Power Garima Distribution with Properties and Applications

In this article we propose a two-parameter power Garima distribution which includes Garima distribution as particular case. Its statistical properties including behavior of its probability density function for varying values of parameters, moments, hazard rate function and mean residual life function has been discussed. The estimation of the parameters of the distribution has been discussed using maximum likelihood estimation. Applications of the distribution have been investigated using real lifetime datasets from engineering and medical science.

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Iris Publishers_Annals of Biostatistics & Biometric Applications

Authored by  Amos Kipkorir Langat

Canonical Analysis for the Birth Reduction Complications after Introduction of Free Maternity Health Care Services in Kenya

There is a growing movement, globally and particularly in the Africa region, to reduce financial barriers to health care. Approximately 585,000 women of Reproductive age die each year from pregnancy related causes worldwide according to the World Health Organization (WHO). The purpose of the study was to examine how free maternity healthcare programme influences maternal mortality rate in Kenya. The study was guided by the following research objectives: to determine how free antenatal care influences maternal mortality rate in Bomet County; to establish how free delivery care influences the lives of others in Bomet County; to assess how free Emergency medical services influences maternal mortality rate in Bomet County and to identify how free postnatal care influences maternal mortality rate in Bomet County. The target population of this study entailed 224 mothers who attend various health maternity clinic, 20 nurses, 10 paramedics and 5 doctors.

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Effective Lifestyles for a Healthy Life above Forty Years

Authored by  Matthew Chukwuma Michael

This paper seek to identify the effective lifestyles that enhance a healthy life above forty years of age. It highlighted and explained some age-related health issue and lucidly showed how they vary with age. It viewed lifestyle from the perspective of a cultural way of doing things and the individualistic perspective as those individual habits that may be relatively distinct from the general way. It discussed some effects of lifestyle and age on health. It concluded that effective lifestyles for healthy life above forty years are those lifestyles that should be adopted in order to achieve a complete wellbeing of the individual in that age group. It finally highlighted them to include, but not limited to, proper choice of what to eat and what to avoid; proper choice of life partners; regular, enjoyable and satisfactory sexual life; planning of economic and financial life; avoiding illicit drugs and drug/substance abuse and adopting good stress management strategies

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A Multilevel Hazards Model for Child Mortality in Nigeria

Authored by  Chukwu AU

Many researchers have devoted considerable attention to the impact of individual-level factors on child mortality, but little is known about how family and community characteristics affect health of children. Trend in child mortality as well as its determinants, has long been the subject of academic and policy debates. In spite of this, the problem of child mortality remains as daunting as ever. In fact, advancement in medical sciences and the upsurge in information and telecommunication technology equipment have not significantly reduced child mortality in the country, unlike in the West.

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