CNFE-SE: a novel approach combining complex network-based feature engineering and stacked ensemble to predict the success of intrauterine insemination and ranking the features

CNFE-SE: a novel approach combining complex network-based feature engineering and stacked ensemble to predict the success of intrauterine insemination and ranking the features

Abstract Background Intrauterine Insemination (IUI) outcome prediction is a challenging issue which the assisted reproductive technology (ART) practitioners are dealing with. Predicting the success or failure of IUI based on the couples' features can assist the physicians to make the appropriat...

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Bibliographic Details
Main Authors: Sima Ranjbari, Toktam Khatibi, Ahmad Vosough Dizaji, Hesamoddin Sajadi, Mehdi Totonchi, Firouzeh Ghaffari
Format: Article
Language:English
Published: BMC 2021-01-01
Series:BMC Medical Informatics and Decision Making
Subjects:
IUI outcome prediction
Complex networks
Feature engineering
Stacked ensemble classifier
Feature selection
Online Access:https://doi.org/10.1186/s12911-020-01362-0

Internet

https://doi.org/10.1186/s12911-020-01362-0

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