Growth Characteristics of Age and Gender-based Anthropometric Data from Human Assisted Remote Healthcare System
Journal Title: International Journal of Advanced Computer Science & Applications - Year 2019, Vol 10, Issue 3
Abstract
Growth monitoring and promotion of optimal growth are essential components of primary health care. The most popular approach to this topic has been developed and utilized for decades by the CDC (Center for Disease Control and Prevention) in the United States, resulting in its well-known clinical growth pattern charts for boys and girls. This metric comprises a series of percentile curves that illustrate the distribution of selected body measurements, by age. The results show a clear uptrend of three traditional measures: height, weight, and BMI. The chart also shows a trend with the corresponding 5th, 10th, 25th, 50th, 75th, 90th, and 95th percentile data variations. Unfortunately, the CDC metric system only addresses ages 2–20 years. Apparently, no other studies show correspondingly systematic growth characteristic patterns for humans more than 20 years old. Our Portable Health Clinic system has for many years been archiving remote health care data records collected from different age and socioeconomic levels in many locations throughout Bangladesh. This data provides an important resource with which to study the age-related evolving nature of anthropometric data. We aim to see if there are any significant clinical growth patterns, specifically regarding height, weight, BMI, waist, and hip for humans over the age of 20 years. We could not determine a clear indication in terms of a specific age where the significant change from growth to decline occurs.
Authors and Affiliations
Mehdi Hasan, Rafiqul Islam, Fumuhiko Yokota, Mariko Nishikitani, Akira Fukuda, Ashir Ahmed
Keywords
Related Articles
- EP ID EP499684
- DOI 10.14569/IJACSA.2019.0100379
- Views 99
- Downloads 0
Good Quasi-Cyclic Codes from Circulant Matrices Concatenation using a Heuristic Method
In this paper we present a method to search q circulant matrices; the concatenation of these circulant matrices with circulant identity matrix generates quasi-cyclic codes with high various code rate q/(q+1) (q an intege...
A Survey of Datasets for Biomedical Question Answering Systems
The massively ever increasing amount of textual and linked biomedical data available online poses many challenges for information seekers. So, the focus of information retrieval community has shifted to precise informati...
A Block Cipher Involving a Key Bunch Matrix and an Additional Key Matrix, Supplemented with Xor Operation and Supported by Key-Based Permutation and Substitution
In this paper, we have developed a block cipher by extending the analysis of a Novel Block Cipher Involving a Key bunch Matrix and a Key-based Permutation and Substitution. Here we have include and additional key matrix,...
A Better Comparison Summary of Credit Scoring Classification
The credit scoring aim is to classify the customer credit as defaulter or non-defaulter. The credit risk analysis is more effective with further boosting and smoothing of the parameters of models. The objective of this p...
ODSA: A Novel Ordering Divisional Scheduling Algorithm for Modern Operating Systems
CPU scheduling is defined as scheduling multiple processes that are required to be executed in a specific time period. A large number of scheduling algorithms have been proposed to achieve maximum CPU utilization/through...