数据库名称：Odds ratios between concept codes and neonatal outcomes
数据库简述：
所属国家/地区：United States
数据库主要信息：The team developed a cohort of 22,104 mother-newborn dyads delivered between 2014 and 2018. Maternal and newborn EHRs were extracted and used to train a multi-input multitask deep learning model, featuring a long short-term memory neural network, to predict 24 different neonatal outcomes.
建立年份：2023
联系信息：Contact information
University/Institution:
Stanford University School of Medicine
Address:
Department of Anesthesiology, Perioperative and Pain Medicine, Stanford University School of Medicine, Stanford, CA 94305, USA.
City:
Province/State:
Country/Region:
United States
Contact name (PI/Team):
Nima Aghaeepour
Contact email (PI/Helpdesk):
naghaeep@stanford.edu
