# An interpretable machine learning model for predicting the optimal day of trigger during ovarian stimulation

May 16th, 2022

Michael Fanton, Ph.D. | Veronica I. Nutting, B.A. | Funmi Solano | Paxton Maeder-York, M.S., M.B.A. | Eduardo Hariton, M.D., M.B.A. | Oleksii O. Barash, Ph.D. | Louis N. Weckstein, M.D | Denny Sakkas, Ph.D. | Alan B. Copperman, M.D. | Kevin E. Loewke, Ph.D.

## Abstract

**Objective:**
To develop an interpretable machine learning model for optimizing the day of trigger in terms of mature oocytes (MII), fertilized oocytes (2PNs), and usable blastocysts.

**Design:**
Retrospective study.

**Setting:**
A group of three assisted reproductive technology centers in the United States.

**Patient(s):**
Patients undergoing autologous in vitro fertilization cycles from 2014 to 2020 (n = 30,278).

DOI:[https://doi.org/10.1016/j.fertnstert.2022.04.003](https://www.fertstert.org/article/S0015-0282%2822%2900244-8/fulltext)

## Ovarian Stimulation