Publikasi Ilmiah STMIK Banjarbaru
metadata only
Analisis Perbandingan Kinerja Algoritma Naïve Bayes Dan KNN Untuk Memprediksi Penyakit Diabetes
Diabetes is a chronic disease affecting various age groups with a risk of fatal complications. Accurate diagnosis is a crucial initial step in management; however, the gradual progression of symptoms often leads to delayed detection. This study compares the accuracy of the Naïve Bayes and K-Nearest
Conceptio Open Archive
Analyze & explore related research in Conceptio
Connect this record directly into your research workflow or AI agent. Explore citations across open repositories, query full text, and export structured proof bundles.
This document is indexed with metadata only: full text is not available in the archive for this record. Open the official source ↗
Related documents
- Determinan Multidimensional Pada Ulkus Kaki Diabetik Pada Diabetes Melitus Tipe 2 : Scoping Review#395606
- Sistem Pakar Mendiagnosa Penyakit Pada Gangguan Pernafasan Menggunakan Metode Naïve Bayes#377182
- Evaluation of a Diabetes Data Management System#471585
- Peran Aktivitas Fisik Dalam Pengelolaan Diabetes Melitus Tipe 2#260146
- General Use-results Surveillance With Awiqli in Patients With Diabetes Mellitus#854475
Record · ID 1226231
Retrieved via Conceptio: every document is proof-bundled with source, license, and retrieval metadata.
Retrieved via Conceptio: every document is proof-bundled with source, license, and retrieval metadata.
Bring this data into your agent: Connect via MCP or API · 20 free credits to start · no card required
Read the Docs → · View CLI source on GitHub · Conceptio Open Knowledge Archive
Read the Docs → · View CLI source on GitHub · Conceptio Open Knowledge Archive