Rachel Bennett, a Ph.D. student in the OU School of Industrial and Systems Engineering, received a student poster award at the inaugural Oklahoma Conference for Statistics, Biostatistics and Data Science.
Bennett's presentation, titled “Early Detection of Preeclampsia using a Scalable Deep Neural Network Algorithm,” focused on detecting signs of preeclampsia (high blood pressure or hypertension) during pregnancy using deep/machine learning.
Bennett conducted the research under Talayeh Razzaghi, Ph.D., an assistant professor in the OU School of Industrial and Systems Engineering. Bennett shared her results at the conference and also received a cash award for her contributions.
