Published on in Vol 24, No 7 (2022): July

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/34108, first published .
Prediction of Maternal Hemorrhage Using Machine Learning: Retrospective Cohort Study

Prediction of Maternal Hemorrhage Using Machine Learning: Retrospective Cohort Study

Prediction of Maternal Hemorrhage Using Machine Learning: Retrospective Cohort Study

Journals

  1. Wiesenack C, Meybohm P, Neef V, Kranke P. Current concepts in preoperative anemia management in obstetrics. Current Opinion in Anaesthesiology 2023;36(3):255 View
  2. Shah S, Saxena S, Rani S, Nelaturi N, Gill S, Tippett Barr B, Were J, Khagayi S, Ouma G, Akelo V, Norwitz E, Ramakrishnan R, Onyango D, Teltumbade M. Prediction of postpartum hemorrhage (PPH) using machine learning algorithms in a Kenyan population. Frontiers in Global Women's Health 2023;4 View
  3. Ranjbar A, Rezaei Ghamsari S, Boujarzadeh B, Mehrnoush V, Darsareh F. Predicting risk of postpartum hemorrhage using machine learning approach: A systematic review. Gynecology and Obstetrics Clinical Medicine 2023;3(3):170 View
  4. Neha Margret I, Rajakumar K, Arulalan K, Manikandan S, Valentina . Statistical Insights Into Machine Learning-Based Box Models for Pregnancy Care and Maternal Mortality Reduction: A Literature Survey. IEEE Access 2024;12:68184 View
  5. Lengerich B, Caruana R, Painter I, Weeks W, Sitcov K, Souter V. Interpretable Machine Learning Predicts Postpartum Hemorrhage with Severe Maternal Morbidity in a Lower Risk Laboring Obstetric Population. American Journal of Obstetrics & Gynecology MFM 2024:101391 View
  6. Wang M, Yi G, Zhang Y, Li M, Zhang J. Quantitative prediction of postpartum hemorrhage in cesarean section on machine learning. BMC Medical Informatics and Decision Making 2024;24(1) View