Investigating the Effect of Single Pass Laser Surface Treatment on Microstructure Evolution of Inoculated Zr47.5Cu45.5Al5Co2 and Non-Inoculated Zr65Cu15Al10Ni10 Bulk Metallic Glass Matrix Composites

Sabinay, Chona B. and Gumabay, Maria Visitacion N. (2020) Investigating the Effect of Single Pass Laser Surface Treatment on Microstructure Evolution of Inoculated Zr47.5Cu45.5Al5Co2 and Non-Inoculated Zr65Cu15Al10Ni10 Bulk Metallic Glass Matrix Composites. In: Recent Developments in Engineering Research Vol. 4. B P International, pp. 137-162. ISBN 978-81-947204-1-6

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Abstract

This study focuses on the development of an eHealth application system using open-access datasets
from UCI Machine Learning Repository. This attempts to predict the onset of diabetes and chronic
kidney diseases grounding from the generated predictive models. Decision models are created using
C4.5, ID3 and CART algorithms with RapidMiner data science platform. Models incurred the highest
assessment are the bases of the developed system following Agile Software Development Life Cycle
Model. Easy access to healthcare workers through teleconsultation, diabetes and chronic kidney
disease (CKD) online diagnosis, and maternal care videos are possible with this study. Based on the
respondents’ response, the strongest point of the system was its portability, which earned the highest
average mean among categories of system evaluation. Thus, the system addresses the shortcomings
of healthcare in terms of distance and timeliness of treatment fostering an equal access to healthcare.

Item Type: Book Section
Subjects: Research Scholar Guardian > Engineering
Depositing User: Unnamed user with email support@scholarguardian.com
Date Deposited: 28 Nov 2023 03:52
Last Modified: 28 Nov 2023 03:52
URI: http://science.sdpublishers.org/id/eprint/2099

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