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Novriansyah Afqi Nur Akmal Fauzi, Fikri Budiman
Analisis Perbandingan Metode Random Forest, XGBoost, dan Logistic Regression Untuk Klasifikasi Deteksi Dini Penyakit Diabetes
Biomedical

Diabetes Mellitus is a chronic disease with a continuously increasing prevalence, posing serious challenges to public health and contributing signific...

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This study addresses a critically important public health challenge: the escalating prevalence of Diabetes Mellitus and the need for accurate early de...

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Vasyl Hryn
Comparative Analysis of Zirconium and Lithium Disilicate Restorations in Total Dentures in The Masticatory Areas
Biomedical

The paper examines the current issue of determining the quality of materials for restorations in total dentures in the chewing areas. Restorative dent...

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This paper addresses a highly relevant issue in restorative dentistry: the selection of optimal materials for total denture restorations in masticator...

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Muhamad Rois S, Kusrini Kusrini
Perbandingan Kinerja Support Vector Machine dalam Klasifikasi Obesitas dengan Pendekatan Kernel Linear dan Radial Basis Function
Biomedical

Obesitas adalah kondisi medis yang ditandai dengan penumpukan lemak tubuh yang berlebihan hingga dapat menimbulkan risiko berbagai penyakit...

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The study "Perbandingan Kinerja Support Vector Machine dalam Klasifikasi Obesitas dengan Pendekatan Kernel Linear dan Radial Basis Function" addresses...

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Hasim As'ari Hasim, Kusrini
PENINGKATAN KINERJA KLASIFIKASI DIABETES MENGGUNAKAN METODE SUPPORT VECTOR MACHINE (SVM) DENGAN KERNEL RADIAL BASIS FUNCTION (RBF)
Biomedical

Diabetes Mellitus merupakan salah satu penyakit kronis dengan prevalensi yang terus meningkat secara global. Deteksi dini terhadap penyakit...

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This study addresses the critical issue of Diabetes Mellitus, a chronic disease with rising global prevalence where early detection is paramount to mi...

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Jamal M. Alrikabi
Plasmodium Falciparum and Plasmodium Vivax Malaria Detection Using Image Processing and Multi-Class CNN Classifier
Biomedical

Millions of people suffer from malaria, one of the most serious parasitic diseases that threatens human life and causes high rates of morbidity and mo...

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This paper addresses the critical need for improved malaria diagnosis by proposing an automated system utilizing image processing and a multi-class Co...

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Ni Putu Eka Kristi Permatasari, Ketut Kwartantaya Winaya, Anak Agung Gede Kresna Naria Putra, Putu Evindya Vipascitadewi Nandanaya Bharata
The Efficacy of Dragon Fruit (Hylocereus spp.) in Mitigating the Skin Aging Process: A Systematic Review
Biomedical

Introduction: Dragon fruit (Hylocereus spp.), rich in bioactive compounds such as betalains, flavonoids, and vitamin C, presents a promising candidate...

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This systematic review, "The Efficacy of Dragon Fruit (Hylocereus spp.) in Mitigating the Skin Aging Process," addresses a highly relevant and growing...

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Salindri Trijayanti, Sri Handayani
Antifungal Activity Test of The Aqueous and Ethanolic Extracts of Strawberry Leaves Against Absidia corymbifera
Biomedical

Absidia corymbifera is an opportunistic fungal pathogen that can cause serious infections, particularly in immunocompromised individuals. However, stu...

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This study addresses a pertinent gap in the search for natural antifungal agents, specifically targeting *Absidia corymbifera*, an opportunistic patho...

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Ayesha Chaudary, Sumaira Mehboob, Muhammad Saadat Abbas, Niaz Muhammad
IN VIVO AND NETWORK PHARMACOLOGY BASED MOLECULAR SCREENING OF POTENTIAL COMPOUNDS FROM CASSIA ABSUS SEEDS AGAINST HYPERLIPIDEMIA
Biomedical

Background: Medicinal plants are valuable sources of bioactive chemicals with multi-target effects. Cassia absus, traditionally used to treat various...

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This study presents a compelling investigation into the anti-hyperlipidemic potential of *Cassia absus* seeds, a traditionally used medicinal plant. H...

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