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All Journal Formosa Journal of Science and Technology (FJST)
Mukhamad Hasim Iswanto
UIN Profesor Kiai Haji Saifuddin Zuhri Purwokerto
Humanities Computer Science & IT Education Industrial & Manufacturing Engineering Social Sciences

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Data Mining Approach for Early Identification of Diabetic Retinopathy Using Electronic Health Records Mukhamad Hasim Iswanto
Formosa Journal of Science and Technology Vol. 5 No. 8 (2026): August 2026
Publisher : PT FORMOSA CENDEKIA GLOBAL

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55927/fjst.v5i8.146

Abstract

Diabetic retinopathy is a complication of diabetes that is at risk of causing visual impairment so it requires early identification based on clinical data. This study aims to identify patterns of association between patient characteristics, glucose levels, diabetes duration, blood pressure, and retinopathy conditions through electronic health records. The study used an exploratory descriptive design based on EHR secondary data with purposive sampling of 30 medical records of diabetic patients who met the study criteria. Data were collected through electronic medical record documentation and analyzed using data mining techniques to find meaningful patterns between clinical variables. Results showed that longer duration of diabetes, higher glucose levels, and high blood pressure were the dominant patterns in patients with indications of retinopathy. These findings suggest that data mining on electronic medical records has the potential to support early screening and clinical decision-making
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