International Journal of Women's Health Care(IJWHC)
ISSN: 2573-9506 | DOI: 10.33140/IJWHC
Impact Factor: 1.011
Atsushi Daimon
Department of Obstetrics and Gynecology, Osaka Medical and Pharmaceutical University, Japan
Publications
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Research Article
Prediction of Treatment Option by Human Chorionic Gonadotropin (hCG) Levels in Ectopic Pregnancy using Machine Learning
Author(s): Yoko Nagayasu*, Rei Mitsuhashi, Hikaru Murakami, Ruri Nishie, Natsuko Morita, Atsushi Daimon, Misa Nunode, Hiroshi Maruoka, Satoe Fujiwara, Satoshi Tsunetoh, Daisuke Fujita and Masahide Ohmichi
Aim: The objective of this study is to construct a model using a random forest to predict the treatment option of ectopic pregnancy based on hCG levels, as well as to confirm the model’s accuracy. Methods: We selected 17 variables related to ectopic pregnancy and extracted data from our records for cases of possible ectopic pregnancy. We then divided the cases into two groups: 1) laparoscopic surgery and 2) MTX or conservative treatment. We created a model for predicting the prognosis of ectopic pregnancy. Afterward, we confirmed the model’s accuracy using the test data. Additionally, we compared the model’s accuracy with that of two specialized obstetrician- gynecologists (OB/GYNs) specialists who judged the same data. This study was approved by our ethics committee. Results: One hundred and twen.. Read More»