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ThinkMind // DATA ANALYTICS 2021, The Tenth International Conference on Data Analytics // View article data_analytics_2021_2_20_68005


Data Merging Technique in Cataract Patients in Telangana for Enhancing Public Awareness of Visual Impairment

Authors:
Amna Alalawi
Les Sztandera

Keywords: data merging; visual impairment; data analysis; public awareness.

Abstract:
Data merging is a creative technique used in big data analysis and is considered a model in strategic leadership thinking, one which is used in integrating and applying strategy to resolve complex problems. In addition, data merging can draw a blueprint for effective decisions, especially when harnessing data in healthcare to clarify ambiguity on complex issues. The objective of this study was to examine the data merging technique using the Electronic Medical Record (EMR) in LV Prasad Eye Institute (LVPEI) in India, for the aim of contributing to the management of patient care, and ultimately spreading public awareness of cataracts. Our findings revealed that there is a high presence of cataract in the state of Telangana, mostly in rural areas and throughout the different weather seasons in India. Men tend to be the most affected, while home makers make the most visits to the hospital, in addition to employees, students, and laborers. While cataract is most dominant in the older age population, diseases such as astigmatism and conjunctivitis are more present in the younger age population. The study appeared useful for taking preventive measures in the future to manage the treatment of patients who present themselves with eye disorders in Telangana.

Pages: 28 to 32

Copyright: Copyright (c) IARIA, 2021

Publication date: October 3, 2021

Published in: conference

ISSN: 2308-4464

ISBN: 978-1-61208-891-4

Location: Barcelona, Spain

Dates: from October 3, 2021 to October 7, 2021

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