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ThinkMind // DATA ANALYTICS 2020, The Ninth International Conference on Data Analytics // View article data_analytics_2020_2_20_60024


A Data-Driven Approach for Eye Disease Classification in Relation to Demographic and Weather Factors Using Computational Intelligence Software

Authors:
Amna Alalawi
Les Sztandera
Parth Lalakia
Anthony Vipin Das
Gumpili Prashanthi

Keywords: big data; ophthalmology; ocular diseases; artificial intelligence.

Abstract:
Big data is the new gold, especially in health care. Advances in collecting and processing Electronic Medical Records (EMR), coupled with increasing computer capabilities have resulted in an increased interest in the use of big data in health care. Big data promises more personalized and precision medicine for patients with improved accuracy and earlier diagnosis, and therapy geared to an individual’s unique combination of genes, environmental risk, and precise disease phenotype. Ophthalmology has been an area of focus where results have shown to be promising. The objective of this study was to determine whether the EMR record in LV Prasad Eye Institute (LVPEI) in India can contribute to the management of patient care, through studying how climatic and socio-demographic factors relate to eye disorders and visual impairment in the State of Telangana. The study was designed by merging a dataset obtained from the Telangana State Development Society to an existing EMR of approximately 1 million patients, who presented themselves with different eye symptoms and were diagnosed with several diseases from the years (2011-2019). The dataset obtained included weather and climatic variables to be tested alongside eye disorders. Microsoft Power BI was used to analyze the data through prescriptive and descriptive data analysis techniques to read patterns that can dig deeper into high-risk climatic and socio-demographic factors that correlate to eye diseases. 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 as per the number of visits to the clinic, while home makers make the most visit 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. In addition, this research created a pathway for new methods in the study of how EMRs contribute to new knowledge in ophthalmology.

Pages: 21 to 27

Copyright: Copyright (c) IARIA, 2020

Publication date: October 25, 2020

Published in: conference

ISSN: 2308-4464

ISBN: 978-1-61208-816-7

Location: Nice, France

Dates: from October 25, 2020 to October 29, 2020

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