# Predicting Placenta Accreta Spectrum Disorder Through Machine Learning Using Metabolomic and Lipidomic Profiling and Clinical Characteristics

**Type:** Papers  
**Canonical URL:** https://scholariq.org/papers/predicting-placenta-accreta-spectrum-disorder-through-machine-learning-using/

## Facts

| Field | Value |
| --- | --- |
| Author Names | Sarah E. Miller,Deirdre J. Lyell,Ivana Marić,Samuel M. Lancaster,Karl G. Sylvester,Kévin Contrepois,Samantha L. Kruger,Jordan Burgess,David K. Stevenson,Nima Aghaeepour,M Snyder,Elisa Zhang,Keyla Badillo,Robert M. Silver,Brett D. Einerson,Katherine Bianco |
| Citations | 2 |
| DOI | 10.1097/aog.0000000000005922 |
| Fields | Medicine |
| Open Access | false |
| OA Status | closed |
| OpenAlex ID | https://openalex.org/W4410001978 |
| PMID | 40373320 |
| Type | article |
| Year | 2025 |

## Paper authors

- [Samantha L. Kruger](https://scholariq.org/researchers/samantha-l-kruger/)

## Paper journal

- [Obstetrics and Gynecology](https://scholariq.org/journals/obstetrics-and-gynecology/)

## Paper primary topic

- [Maternal and fetal healthcare](https://scholariq.org/topics/maternal-and-fetal-healthcare/)

## Paper topics

- [Maternal and fetal healthcare](https://scholariq.org/topics/maternal-and-fetal-healthcare/)
- [Pregnancy and preeclampsia studies](https://scholariq.org/topics/pregnancy-and-preeclampsia-studies/)
- [Trauma, Hemostasis, Coagulopathy, Resuscitation](https://scholariq.org/topics/trauma-hemostasis-coagulopathy-resuscitation/)

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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.