# Evaluating Machine Learning Methods for Predicting Diabetes among Female Patients in Bangladesh

**Type:** Papers  
**Canonical URL:** https://scholariq.org/papers/evaluating-machine-learning-methods-for-predicting-diabetes-among-female/

## Facts

| Field | Value |
| --- | --- |
| Author Names | Md. Badiuzzaman Pranto,Sk. Maliha Mehnaz,Esha Bintee Mahid,Imran Mahmud Sadman,Ahsanur Rahman,Sifat Momen |
| Citations | 84 |
| DOI | 10.3390/info11080374 |
| Fields | Computer Science,Health Professions,Medicine |
| Open Access | true |
| OA Status | gold |
| OA URL | https://www.mdpi.com/2078-2489/11/8/374/pdf?version=1597726885 |
| OpenAlex ID | https://openalex.org/W3044222650 |
| Type | article |
| Year | 2020 |

## Paper authors

- [Sifat Momen](https://scholariq.org/researchers/sifat-momen/)

## 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/)
- [Traditional Chinese Medicine Studies](https://scholariq.org/topics/traditional-chinese-medicine-studies/)

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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.