2023 / 06

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DOI: 10.24075/brsmu.2023.057

ORIGINAL RESEARCH

Predicting the outcomes of in vitro fertilization programs using a random forest machine learning model

Vladimirsky GM1, Zhuravleva MA1, Dashieva AE2, Korneeva IE2, Nazarenko TA2
About authors

1 Higher School of Economics National Research University, Moscow, Russia

2 Kulakov National Medical Scientific Centre for Obstetrics, Gynecology and Perinatal Medicine, Moscow, Russia

Correspondence should be addressed: Ayuna E. Dashieva
Akademika Oparina, 4B, Moscow, 117198, Russia, ur.liam@aveihsad.rd

About paper

Author contribution: Vladimirsky GM — predictive models training, literature analysis, choice of research methods; Zhuravleva MA — preprocessing and analysis of data, literature analysis, manuscript authoring; Dashieva AE — processing of source material, analysis of results; Korneeva IE, Nazarenko TA — development of the survey for the database, manuscript editing.

Received: 2023-11-24 Accepted: 2023-12-19 Published online: 2023-12-31
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