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Development of a fertility risk calculator to predict individualized chance of ovarian failure after chemotherapy
Author(s) -
Esther H. Chung,
Chaitanya R. Acharya,
Benjamin S. Harris,
Kelly S. Acharya
Publication year - 2021
Publication title -
journal of assisted reproduction and genetics
Language(s) - English
Resource type - Journals
eISSN - 1573-7330
pISSN - 1058-0468
DOI - 10.1007/s10815-021-02311-0
Subject(s) - calculator , medicine , oncology , oncofertility , reproductive medicine , ovarian cancer , risk assessment , framingham risk score , fertility , gynecology , cancer , fertility preservation , computer science , pregnancy , population , disease , biology , computer security , environmental health , genetics , operating system
To develop an innovative machine learning (ML) model that predicts personalized risk of primary ovarian insufficiency (POI) after chemotherapy for reproductive-aged women. Currently, individualized prediction of a patient's risk of POI is challenging.