# Development of a dynamic machine learning algorithm to predict clinical pregnancy and live birth rate with embryo morphokinetics

**Type:** Papers  
**Canonical URL:** https://scholariq.org/papers/development-of-a-dynamic-machine-learning-algorithm-to-predict-clinical/

## Facts

| Field | Value |
| --- | --- |
| Author Names | Liubin Yang,Mary Peavey,K. Kaskar,Neil Chappell,Lynn Zhu,Darius J. Devlin,Cecilia T. Valdés,Amy K. Schutt,Terri L. Woodard,P.W. Zarutskie,R. Cochran,William E. Gibbons |
| Citations | 27 |
| DOI | 10.1016/j.xfre.2022.04.004 |
| Fields | Immunology and Microbiology,Medicine |
| Open Access | true |
| OA Status | gold |
| OA URL | https://doi.org/10.1016/j.xfre.2022.04.004 |
| OpenAlex ID | https://openalex.org/W4224144614 |
| PMID | 35789724 |
| Type | article |
| Year | 2022 |

## Paper authors

- [Neil Chappell](https://scholariq.org/researchers/neil-chappell/)

## Paper journal

- [F&S Reports](https://scholariq.org/journals/f-and-s-reports/)

## Paper primary topic

- [Ovarian function and disorders](https://scholariq.org/topics/ovarian-function-and-disorders/)

## Paper topics

- [Ovarian function and disorders](https://scholariq.org/topics/ovarian-function-and-disorders/)
- [Reproductive Biology and Fertility](https://scholariq.org/topics/reproductive-biology-and-fertility/)
- [Reproductive System and Pregnancy](https://scholariq.org/topics/reproductive-system-and-pregnancy/)

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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.