首页|Data on Machine Learning Discussed by Researchers at Christiana Care Health System (A Machine Learning Algorithm Using Clinical and Demographic Data for All-cause Preterm Birth Prediction)
Data on Machine Learning Discussed by Researchers at Christiana Care Health System (A Machine Learning Algorithm Using Clinical and Demographic Data for All-cause Preterm Birth Prediction)
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By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews – Investigators publish new report on Machine Learning. According to news reporting originating fromNewark, Delaware, by NewsRx correspondents, research stated, “Preterm birth remains the predominantcause of perinatal mortality throughout the United States and the world, with well-documented racial andsocioeconomic disparities. To develop and validate a predictive algorithm for all-cause preterm birth usingclinical, demographic, and laboratory data using machine learning.Study Design We performed a cohortstudy of pregnant individuals delivering at a single institution using prospectively collected information onclinical conditions, patient demographics, laboratory data, and health care utilization.”
NewarkDelawareUnited StatesNorth and Central AmericaAlgorithmsCyborgsEmerging TechnologiesMachine LearningChristiana Care Health System
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