Related Experiment Video
Updated: Mar 20, 2026
08:19
Tracking Morphogenetic Tissue Deformations in the Early Chick Embryo
Published on: October 17, 2011
13.5K
Fitting the data from embryo implantation prediction: Learning from label proportions
Jerónimo Hernández-González1, Iñaki Inza1, Lorena Crisol-Ortíz2
11 Intelligent Systems Group, University of the Basque Country UPV/EHU, Spain.
Statistical Methods in Medical Research
|June 1, 2016
Summary
This study introduces a novel weakly supervised machine learning approach for embryo selection in human-assisted reproduction. The new method improves embryo selection accuracy by utilizing all available data, outperforming standard supervised methods.
Area of Science:
- Reproductive Medicine
- Artificial Intelligence
- Data Science
Background:
- Machine learning aids clinicians in embryo selection for assisted reproduction.
- Improving machine learning models requires appropriate problem modeling.
Purpose of the Study:
- To enhance machine learning techniques for embryo selection through improved problem modeling.
- To analyze a dataset of 330 human-assisted reproduction cycles.
Main Methods:
- A novel weakly supervised learning paradigm, learning from label proportions, was employed.
- Multi-variate data analysis considered all cycle and embryo features.
- The dataset comprised 330 consecutive cycles over 18 months from Hospital Donostia, Spain.
Main Results:
- The proposed weakly supervised technique consistently outperformed standard supervised classification.
- The developed models surpassed the criteria of the Spanish Association for Reproduction Biology Studies for embryo selection.
- Specifically, medium-quality embryos were reordered by the classification models.
Conclusions:
- Appropriate problem modeling significantly improves machine learning for embryo selection.
- Weakly supervised learning from label proportions offers a more effective approach than standard supervised methods.
- This technique has the potential to refine embryo selection protocols in assisted reproduction.
Related Concept Videos
01:56Gastrulation
68.7K
Gastrulation establishes the three primary tissues of an embryo: the ectoderm, mesoderm, and endoderm. This developmental process relies on a series of intricate cellular movements, which in humans transforms a flat, “bilaminar disc” composed of two cell sheets into a three-tiered structure. In the resulting embryo, the endoderm serves as the bottom layer, and stacked directly above it is the intermediate mesoderm, and then the uppermost ectoderm. Respectively, these tissue strata...
68.7K
01:03Prediction Intervals
3.5K
The interval estimate of any variable is known as the prediction interval. It helps decide if a point estimate is dependable.
However, the point estimate is most likely not the exact value of the population parameter, but close to it. After calculating point estimates, we construct interval estimates, called confidence intervals or prediction intervals. This prediction interval comprises a range of values unlike the point estimate and is a better predictor of the observed sample value, y.
However, the point estimate is most likely not the exact value of the population parameter, but close to it. After calculating point estimates, we construct interval estimates, called confidence intervals or prediction intervals. This prediction interval comprises a range of values unlike the point estimate and is a better predictor of the observed sample value, y.
3.5K