Analisis Performa Metode Yolo Untuk Deteksi Hyperlipidemia Berdasarkan Klasifikasi Citra Corneal Arcus

<p><em>Hyperlipidemia is a medical condition with high blood lipid levels that increase the risk of cardiovascular disease. A physical indicator of hyperlipidemia is Corneal Arcus, a white ring around the cornea. This study analyzes the ability of the YOLO (You Only Look Once) method to detect and classify Corneal Arcus in eye images. The dataset consists of 348 eye images in three categories: normal, at-risk, and Corneal Arcus. Results show the YOLO model achieved 88.9% accuracy in detecting Corneal Arcus, with precision, recall, F1-score, and mean average precision (MAP) of 88.9%, 89.2%, 88.8%, and 88.9%, respectively. These findings indicate significant potential for the YOLO method in technical applications within informatics. Although not yet validated for medical use, this research aims to share basic scientific ideas.</em></p><p><strong><em>Keywords</em></strong><em>: YOLO; Hyperlipidemia; Corneal Arcus; Image Classification</em></p><p align="center"><em> </em></p><p align="center"><strong>Abstrak</strong></p><p><em>Hyperlipidemia</em> adalah kondisi medis dengan kadar lipid darah tinggi yang meningkatkan risiko penyakit <em>Kardiovaskular</em>. Indikator fisik <em>hyperlipidemia</em> adalah <em>Corneal Arcus</em>, cincin putih di sekitar kornea. Penelitian ini menganalisis kemampuan metode YOLO (<em>You Only Look Once</em>) dalam mendeteksi dan mengklasifikasikan <em>Corneal Arcus</em> pada citra mata. Dataset terdiri dari 348 gambar mata dalam tiga kategori: normal, berisiko, dan <em>Corneal Arcus</em>. Hasil menunjukkan model YOLO mencapai akurasi 88,9% dalam mendeteksi <em>Corneal Arcus</em>, dengan presisi, <em>recall</em>, F1-<em>score</em>, dan <em>mean average precision</em> (MAP) masing-masing sebesar 88,9%, 89,2%, 88,8%, dan 88,9%. Temuan ini menunjukkan potensi besar metode YOLO dalam aplikasi teknis di bidang informatika. Meskipun belum tervalidasi untuk penggunaan medis, hasil ini bertujuan untuk membagikan ide ilmiah dasar.</p><p><strong>Kata kunci</strong><strong><em>:</em></strong><em> YOLO; Hyperlipidemia; Corneal Arcus; Klasifikasi Citra;</em></p>

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Publication Details

Journal
Progresif Jurnal Ilmiah Komputer
Published
2024-08-31
DOI
https://doi.org/10.35889/progresif.v20i2.2088
Primary Topic
Dermatoglyphics and Human Traits
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article
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article

Analisis Performa Metode Yolo Untuk Deteksi Hyperlipidemia Berdasarkan Klasifikasi Citra Corneal Arcus

Agustinus Rudatyo Himamunanto, Haeni Budiati, Joseph Supriadi
Progresif Jurnal Ilmiah Komputer
Dermatoglyphics and Human Traits
article

Analisis Performa Metode Yolo Untuk Deteksi Hyperlipidemia Berdasarkan Klasifikasi Citra Corneal Arcus

Agustinus Rudatyo Himamunanto, Haeni Budiati, Joseph Supriadi
article en

Abstract

<p><em>Hyperlipidemia is a medical condition with high blood lipid levels that increase the risk of cardiovascular disease. A physical indicator of hyperlipidemia is Corneal Arcus, a white ring around the cornea. This study analyzes the ability of the YOLO (You Only Look Once) method to detect and classify Corneal Arcus in eye images. The dataset consists of 348 eye images in three categories: normal, at-risk, and Corneal Arcus. Results show the YOLO model achieved 88.9% accuracy in detecting Corneal Arcus, with precision, recall, F1-score, and mean average precision (MAP) of 88.9%, 89.2%, 88.8%, and 88.9%, respectively. These findings indicate significant potential for the YOLO method in technical applications within informatics. Although not yet validated for medical use, this research aims to share basic scientific ideas.</em></p><p><strong><em>Keywords</em></strong><em>: YOLO; Hyperlipidemia; Corneal Arcus; Image Classification</em></p><p align="center"><em> </em></p><p align="center"><strong>Abstrak</strong></p><p><em>Hyperlipidemia</em> adalah kondisi medis dengan kadar lipid darah tinggi yang meningkatkan risiko penyakit <em>Kardiovaskular</em>. Indikator fisik <em>hyperlipidemia</em> adalah <em>Corneal Arcus</em>, cincin putih di sekitar kornea. Penelitian ini menganalisis kemampuan metode YOLO (<em>You Only Look Once</em>) dalam mendeteksi dan mengklasifikasikan <em>Corneal Arcus</em> pada citra mata. Dataset terdiri dari 348 gambar mata dalam tiga kategori: normal, berisiko, dan <em>Corneal Arcus</em>. Hasil menunjukkan model YOLO mencapai akurasi 88,9% dalam mendeteksi <em>Corneal Arcus</em>, dengan presisi, <em>recall</em>, F1-<em>score</em>, dan <em>mean average precision</em> (MAP) masing-masing sebesar 88,9%, 89,2%, 88,8%, dan 88,9%. Temuan ini menunjukkan potensi besar metode YOLO dalam aplikasi teknis di bidang informatika. Meskipun belum tervalidasi untuk penggunaan medis, hasil ini bertujuan untuk membagikan ide ilmiah dasar.</p><p><strong>Kata kunci</strong><strong><em>:</em></strong><em> YOLO; Hyperlipidemia; Corneal Arcus; Klasifikasi Citra;</em></p>

Progresif Jurnal Ilmiah KomputerVol. 20(2)
Universitas Kristen Immanuel (ID)
Openalex Percentile: Top 73%
Dermatoglyphics and Human Traits
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