# Machine learning algorithms to predict major adverse cardiovascular events in patients with diabetes

**Type:** Papers  
**Canonical URL:** https://scholariq.org/papers/machine-learning-algorithms-to-predict-major-adverse-cardiovascular-events-in/

## Facts

| Field | Value |
| --- | --- |
| Author Names | Tadesse Melaku Abegaz,Ahmead Baljoon,Oluwaseun Kilanko,Fatimah Sherbeny,Askal Ayalew Ali |
| Citations | 31 |
| DOI | 10.1016/j.compbiomed.2023.107289 |
| Fields | Medicine |
| Open Access | false |
| OA Status | closed |
| OpenAlex ID | https://openalex.org/W4385444799 |
| PMID | 37557056 |
| Type | article |
| Year | 2023 |

## Paper authors

- [Askal Ayalew Ali](https://scholariq.org/researchers/askal-ayalew-ali/)

## Paper primary topic

- [Diabetes Treatment and Management](https://scholariq.org/topics/diabetes-treatment-and-management/)

## Paper topics

- [Diabetes Treatment and Management](https://scholariq.org/topics/diabetes-treatment-and-management/)
- [Hyperglycemia and glycemic control in critically ill and hospitalized patients](https://scholariq.org/topics/hyperglycemia-and-glycemic-control-in-critically-ill-and-hospitalized-patients/)
- [Potassium and Related Disorders](https://scholariq.org/topics/potassium-and-related-disorders/)

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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.