# Machine learning to predict cardiovascular risk

**Type:** Papers  
**Canonical URL:** https://scholariq.org/papers/machine-learning-to-predict-cardiovascular-risk/

## Facts

| Field | Value |
| --- | --- |
| Author Names | José A. Quesada,Adriana López‐Pineda,Vicente Gil-Guillén,Ramón Durazo-Arvizú,Domingo Orozco‐Beltrán,Angela López-Domenech,Concepción Carratalá‐Munuera |
| Citations | 105 |
| DOI | 10.1111/ijcp.13389 |
| Fields | Medicine |
| Open Access | false |
| OA Status | closed |
| OpenAlex ID | https://openalex.org/W2955201199 |
| PMID | 31264310 |
| Type | article |
| Year | 2019 |

## Paper authors

- [Vicente Gil-Guillén](https://scholariq.org/researchers/vicente-gil-guillen/)

## Paper journal

- [International Journal of Clinical Practice](https://scholariq.org/journals/international-journal-of-clinical-practice/)

## Paper primary topic

- [Lipoproteins and Cardiovascular Health](https://scholariq.org/topics/lipoproteins-and-cardiovascular-health/)

## Paper topics

- [Lipoproteins and Cardiovascular Health](https://scholariq.org/topics/lipoproteins-and-cardiovascular-health/)
- [Acute Myocardial Infarction Research](https://scholariq.org/topics/acute-myocardial-infarction-research/)
- [Artificial Intelligence in Healthcare and Education](https://scholariq.org/topics/artificial-intelligence-in-healthcare-and-education/)

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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.