# Systematic Review of Machine Learning applied to the Prediction of Obesity and Overweight

**Type:** Papers  
**Canonical URL:** https://scholariq.org/papers/systematic-review-of-machine-learning-applied-to-the-prediction-of-obesity-and/

## Facts

| Field | Value |
| --- | --- |
| Author Names | Antonio Ferreras,Sandra Cano,Rosmeri Martínez‐Licort,Iñaki Elío,Kilian Tutusaus Pifarré,Thomas André Prola,Juan Luís Vidal Mazón,Benjamín Sahelices,Isabel de la Torre Díez |
| Citations | 22 |
| DOI | 10.1007/s10916-022-01904-1 |
| Fields | Health Professions,Medicine |
| Open Access | false |
| OA Status | closed |
| OpenAlex ID | https://openalex.org/W4315928092 |
| PMID | 36637549 |
| Type | review |
| Year | 2023 |

## Paper authors

- [Thomas André Prola](https://scholariq.org/researchers/thomas-andre-prola/)

## Paper journal

- [Journal of Medical Systems](https://scholariq.org/journals/journal-of-medical-systems/)

## 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/)
- [Nutritional Studies and Diet](https://scholariq.org/topics/nutritional-studies-and-diet/)
- [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.