Predicting common maternal postpartum complications: Leveraging health administrative data and machine learning.

CONCLUSIONS: Our study suggests that routinely collected health data have the potential to play an important role in helping determine women's risk of common postpartum complications leading to hospital admission. This information can be presented to clinical staff after delivery to help guide immediate postpartum care, delayed discharge and post-discharge patient follow-up. For such a system to be effective and valued it must produce accurate predictions, and our findings suggest areas where routine data collection could be strengthened to this end. This article is protected by copyright. All rights reserved. PMID: 30628159 [PubMed - as supplied by publisher]
Source: BJOG : An International Journal of Obstetrics and Gynaecology - Category: OBGYN Authors: Tags: BJOG Source Type: research