Evaluation of Systemic Risk Factors in Patients with Diabetes Mellitus for Detecting Diabetic Retinopathy with Random Forest Classification Model

The RF model effectively predicts DR in DM patients using systemic risk factors, potentially reducing unnecessary referrals for DR screening. However, further validation with diverse datasets is necessary to establish its reliability for clinical use.

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Publication Details

Journal
Diagnostics
Published
2024-08-13
DOI
https://doi.org/10.3390/diagnostics14161765
Citations
3
Primary Topic
Retinal Imaging and Analysis
Type
article
Field-Weighted Citation Impact
1.21
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article

Evaluation of Systemic Risk Factors in Patients with Diabetes Mellitus for Detecting Diabetic Retinopathy with Random Forest Classification Model

Ayushi Choudhary, Naresh Kumar Yadav, Nikitha Gurram Reddy, Snehal Bavaskar et al.
3 citations
Diagnostics
Retinal Imaging and Analysis
1.21
article

Evaluation of Systemic Risk Factors in Patients with Diabetes Mellitus for Detecting Diabetic Retinopathy with Random Forest Classification Model

Ayushi Choudhary, Naresh Kumar Yadav, Nikitha Gurram Reddy, Snehal Bavaskar, Rupal Kathare, Ramesh Venkatesh, Jay Kumar Chhablani, Padmaja Kumari Rani, Priyanka Gandhi, Vishma Prabhu, Prathiba Hande, Rohit Shetty
article en
3 citations

Abstract

The RF model effectively predicts DR in DM patients using systemic risk factors, potentially reducing unnecessary referrals for DR screening. However, further validation with diverse datasets is necessary to establish its reliability for clinical use.

DiagnosticsVol. 14(16)
University of Pittsburgh (US), L V Prasad Eye Institute (IN), Narayana Nethralaya (IN)
Good health and well-being
Openalex Percentile: Top 20%
Retinal Imaging and Analysis
1.21
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Evaluation of Systemic Risk Factors in Patients with Diabetes Mellitus for Detecting Diabetic Retinopathy with Random Forest Classification Model — Ayushi Choudhary, Naresh Kumar Yadav, et al. · Diagnostics (2024) | TGRS Research Map | TGRS