<p>Using data from the SWAN study, we built machine learning models to predict healthcare outcomes for women based on socioeconomic, demographic, and health factors. Learn more about our modeling process and even try an interactive demo at our modeling page.</p>
<p>Using data from the SWAN study, we built machine learning models to predict healthcare outcomes for women based on socioeconomic, demographic, and health factors. Learn more about our modeling process and even try an interactive demo at our <ahref="https://2023.igem.wiki/yale/modeling">modeling page</a>.</p>
<p>Our goal in the modeling process was to elucidate patterns in HRT access that may normally go unnoticed in data. Because societal biases are often reflected in medicine and by extension research, we used our model to gain a clearer understanding of the factors that influence whether or not women are treated for menopause-related symptoms.</p>
<h2>Design: Bioproduction vs. Live Biotherapeutic</h2>