Consanguinity Among Refractive Error, Intraocular Pressure and Etiology of Glaucoma in Diabetics Among Wheatish Population

Authors

  • Ravi Prasad Ravuri Sriven Technologies, India

DOI:

https://doi.org/10.13052/jmm1550-4646.18410

Keywords:

Refraction Error, Populace-based Study, POAG, Wheatish population, Glaucoma

Abstract

The objective of this paper is to explore the connotation among refractive error, intraocular pressure (IOP), and primary open-angle glaucoma (POAG) among the Wheatish populace. Population-based studies give significant data with respect to the predominance and hazard factors which include refractive error for glaucoma. The connotation between myopia and glaucoma is robust at lower IOP levels and deteriorated slowly with increasing IOP. This study shows the relationship between IOP and glaucoma is solid at a lower mean value of 15 ±± 3.23 levels and debilitated progressively with expanding IOP of 17.59 ±± 3.33 for PACG, 18.85 ±± 1.20 for POAG, 18.59 ±± 2.52 for PIGM and 19.12 ±± 1.42 for OH among Wheatish population. The illustration of glaucoma in myopic eyes deteriorated with growing IOP and no association has been detected with IOP ≥≥35 mmHg.

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Author Biography

Ravi Prasad Ravuri, Sriven Technologies, India

Ravi Prasad Ravuri working as an Application Developer for Sriven Technologies. His current research focus is on Software Quality, Cloud Computing and securing Cloud environments. He holds his B.Sc degree in Statistics & Computer Science from Kakatiya University, India in 1995 and M.C.A from Osmania University in 1998, M.Tech in Computer Science at Osmania University, Hyderabad in 2006, and completed Ph.D. in Software Quality at Nagarjuna University Guntur. He has organized no. of workshops & technical symposiums in various Computer Science related fields and published papers in various journals.

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Published

2022-03-21

How to Cite

Ravuri, R. P. . (2022). Consanguinity Among Refractive Error, Intraocular Pressure and Etiology of Glaucoma in Diabetics Among Wheatish Population. Journal of Mobile Multimedia, 18(04), 1177–1190. https://doi.org/10.13052/jmm1550-4646.18410

Issue

Section

Enabling AI Technologies Towards Multimedia Data Analytics for Smart Healthcare