Model for prediction of cataracts using supervised machine learning algorithms

NC Egejuru, JA Balogun, PD Mhambe, FO Asahiah… - 2017 - ir.mtu.edu.ng
This study identified the risk factors for cataracts and formulated a predictive model based on
the identified variables. The study simulated the formulated model and validated the model …

Application of Machine Learning Algorithms for Cataract Prediction

S Senapati, K Prasad, R Dwivedi, AK Jha… - … for Engineering and …, 2023 - Springer
The usage of revolutionary technology like artificial intelligence (AI) in the healthcare system
has improved service management and medical decision-making. Nowadays, in healthcare …

[PDF][PDF] An Enhanced Model for the Prediction of Cataract Using Bagging Techniques

A Maureen, O Oghenefego, AE Edje, CO Ogeh… - researchgate.net
A clouding of the human eye lens affecting vision is called a cataract; and this is the cause to
most avoidable blindness in the world especially among the aged ones. Early treatment and …

Physical Examination Data Based Cataract Risk Analysis

J Hao, Y Xiao, S Du - Journal of Systems Science and Systems …, 2021 - Springer
Cataract is a very common eye disease and the most significant cause of blindness. In
consideration of its burden on society, the focus was put on testing the risk factors of cataract …

Predicting the 10-year risk of cataract surgery using machine learning techniques on questionnaire data: findings from the 45 and Up Study

W Wang, X Han, J Zhang, X Shang, J Ha… - British Journal of …, 2022 - bjo.bmj.com
Background/aims To investigate the feasibility and accuracy of using machine learning (ML)
techniques on self-reported questionnaire data to predict the 10-year risk of cataract surgery …

Linear Regression Based Machine Learning Model for Cataract Disease Prediction

B Premalatha, C Nataraj - EAI Endorsed Transactions on …, 2024 - publications.eai.eu
Blindness and visual impairment have become major health problems today, with one major
source of impairment being the formation of cataract disease. Cataract disease affects …

Comparison of CNN and KNN Methods for Cataract Classification and Detection Based on Fundus Images

F Hanifah, NA Azzahra, YN Fuadah… - … Engineering, and Health …, 2023 - Springer
Cataract is an ophthalmic condition where the lens of the eye becomes cloudy, leading to
symptoms such as blurry vision, increased sensitivity to light, nearsightedness, and …

Deep Learning-Based Detection Of Cataract Diseases Using Convolutional Neural Network

SK Upadhyay, MK Srivastava - Educational Administration: Theory and …, 2024 - kuey.net
The eye is the most essential sense organ that allows us to look at the world, and cataract is
the most prevalent eye diseases that cause visual distortion. Cataract is a medical disorder …

[PDF][PDF] A Review of the Latest Machine Learning Advances in Cataract Diagnosis

Z Alaeddini - Journal of Ophthalmic and Optometric Sciences, 2021 - journals.sbmu.ac.ir
Cataract disorder is one of the most common vision disorders in the world. As the average
age of the world population increases, many people suffer from it in middle and old age …

[PDF][PDF] Machine Learning and Deep Learning Techniques, Features and Obstacles in the Cataract Diagnosis

I Ñuflo, F Mecca, L Wong - academia.edu
Cataract is a degenerative condition that, according to estimations, will rise globally. Even
though there are various proposals about its diagnosis, there are remaining problems to be …