# Machine learning analysis of pregnancy data enables early identification of a subpopulation of newborns with ASD

**Type:** Papers  
**Canonical URL:** https://scholariq.org/papers/machine-learning-analysis-of-pregnancy-data-enables-early-identification-of-a/

## Facts

| Field | Value |
| --- | --- |
| Author Names | H. Caly,Hamed Rabiei,Perrine Coste-Mazeau,Sebastien Hantz,Sophie Alain,Jean‐Luc Eyraud,Thierry Chianéa,Catherine Caly,David Makowski,Nouchine Hadjikhani,Éric Lemonnier,Yehezkel Ben‐Ari |
| Citations | 44 |
| DOI | 10.1038/s41598-021-86320-0 |
| Fields | Health Professions,Medicine |
| Open Access | true |
| OA Status | gold |
| OA URL | https://www.nature.com/articles/s41598-021-86320-0.pdf |
| OpenAlex ID | https://openalex.org/W3139087651 |
| PMID | 33767300 |
| Type | article |
| Year | 2021 |

## Paper authors

- [Jean‐Luc Eyraud](https://scholariq.org/researchers/jean-luc-eyraud/)

## Paper journal

- [Scientific Reports](https://scholariq.org/journals/scientific-reports/)

## Paper primary topic

- [Adolescent and Pediatric Healthcare](https://scholariq.org/topics/adolescent-and-pediatric-healthcare/)

## Paper topics

- [Adolescent and Pediatric Healthcare](https://scholariq.org/topics/adolescent-and-pediatric-healthcare/)
- [Parvovirus B19 Infection Studies](https://scholariq.org/topics/parvovirus-b19-infection-studies/)
- [COVID-19 Impact on Reproduction](https://scholariq.org/topics/covid-19-impact-on-reproduction/)

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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.