Closing the Gap in High-Risk Pregnancy Care Using Machine Learning and Human-AI Collaboration

arXiv:2305.17261v3 Announce Type: replace
Abstract: A high-risk pregnancy is a pregnancy complicated by factors that can adversely affect the outcomes of the mother or the infant. Health insurers use algorithms to identify members who would benefit from additional clinical support. This work presents the implementation of a real-world ML-based system to assist care managers in identifying pregnant patients at risk of complications. In this retrospective evaluation study, we developed a novel hybrid-ML classifier to predict whether patients are pregnant and …

abstract ai collaboration algorithms arxiv benefit clinical collaboration cs.hc cs.lg gap health human identify implementation machine machine learning risk support type work