# Performance Analysis of Support Vector Machine (SVM) for Diabetes Disease Detection

**Type:** Papers  
**Canonical URL:** https://scholariq.org/papers/performance-analysis-of-support-vector-machine-svm-for-diabetes-disease/

## Facts

| Field | Value |
| --- | --- |
| Author Names | Ricky Krisdianto,Ivana Apriani,Hossey Masada,Hidayaturrahman Hidayaturrahman |
| Citations | 2 |
| DOI | 10.1109/aidas63860.2024.10730403 |
| Fields | Health Professions |
| Open Access | false |
| OA Status | closed |
| OpenAlex ID | https://openalex.org/W4403918858 |
| Type | conference-paper |
| Year | 2024 |

## Paper authors

- [Hidayaturrahman Hidayaturrahman](https://scholariq.org/researchers/hidayaturrahman-hidayaturrahman/)

## Paper primary topic

- [Artificial Intelligence in Healthcare](https://scholariq.org/topics/artificial-intelligence-in-healthcare/)

## Paper topics

- [Artificial Intelligence in Healthcare](https://scholariq.org/topics/artificial-intelligence-in-healthcare/)

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Source: ScholarIQ — public research metadata, principally OpenAlex. See https://scholariq.org/sources/ for provenance and https://scholariq.org/methodology/ for what these figures mean.