# A Comparison of Machine Learning Techniques for the Detection of Type-2 Diabetes Mellitus: Experiences from Bangladesh

**Type:** Papers  
**Canonical URL:** https://scholariq.org/papers/a-comparison-of-machine-learning-techniques-for-the-detection-of-type-2-diabetes/

## Facts

| Field | Value |
| --- | --- |
| Author Names | Md. Jamal Uddin,Md. Martuza Ahamad,Md. Nesarul Hoque,Md. Abul Ala Walid,Sakifa Aktar,Naif Alotaibi,Salem A. Alyami,Muhammad Ashad Kabir,Mohammad Ali Moni |
| Citations | 38 |
| DOI | 10.3390/info14070376 |
| Fields | Computer Science,Health Professions |
| Open Access | true |
| OA Status | gold |
| OA URL | https://www.mdpi.com/2078-2489/14/7/376/pdf?version=1688287977 |
| OpenAlex ID | https://openalex.org/W4382940898 |
| Type | article |
| Year | 2023 |

## Paper authors

- [Md. Abul Ala Walid](https://scholariq.org/researchers/md-abul-ala-walid/)

## 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/)
- [Imbalanced Data Classification Techniques](https://scholariq.org/topics/imbalanced-data-classification-techniques/)
- [Machine Learning in Healthcare](https://scholariq.org/topics/machine-learning-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.