Prediction of postpartum hemorrhage (PPH) using machine learning algorithms in a Kenyan population

• Main Authors: Santosh Yogendra Shah (Author), Sumant Saxena (Author), Satya Pavitra Rani (Author), Naresh Nelaturi (Author), Sheena Gill (Author), Beth Tippett Barr (Author), Joyce Were (Author), Sammy Khagayi (Author), Gregory Ouma (Author), Victor Akelo (Author), Errol R. Norwitz (Author), Rama Ramakrishnan (Author), Dickens Onyango (Author), Manoj Teltumbade (Author)
• Format: Book
• Published: Frontiers Media S.A., 2023-07-01T00:00:00Z.
• Subjects: article
• Online Access: Connect to this object online.

IntroductionPostpartum hemorrhage (PPH) is a significant cause of maternal mortality worldwide, particularly in low- and middle-income countries. It is essential to develop effective prediction models to identify women at risk of PPH and implement appropriate interventions to reduce maternal morbidi...