256: Machine learning-based prediction models for postpartum hemorrhage
نویسندگان
چکیده
منابع مشابه
Thermal conductivity of Water-based nanofluids: Prediction and comparison of models using machine learning
Statistical methods, and especially machine learning, have been increasingly used in nanofluid modeling. This paper presents some of the interesting and applicable methods for thermal conductivity prediction and compares them with each other according to results and errors that are defined. The thermal conductivity of nanofluids increases with the volume fraction and temperature. Machine learni...
متن کاملThermal conductivity of Water-based nanofluids: Prediction and comparison of models using machine learning
Statistical methods, and especially machine learning, have been increasingly used in nanofluid modeling. This paper presents some of the interesting and applicable methods for thermal conductivity prediction and compares them with each other according to results and errors that are defined. The thermal conductivity of nanofluids increases with the volume fraction and temperature. Machine learni...
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متن کاملDiagnostic Value of Risk Nomogram for the Prediction of Postpartum Hemorrhage Following Vaginal Delivery
Background: Postpartum hemorrhage (PPH) is considered as one of the major causes of maternal mortality worldwide. The most effective risk factors have been suggested in various studies on risk nomogram for the prediction of PPH. Aim: This study aimed to determine the diagnostic value of the risk nomogram for the prediction of PPH. Method: Thi...
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ژورنال
عنوان ژورنال: American Journal of Obstetrics and Gynecology
سال: 2020
ISSN: 0002-9378
DOI: 10.1016/j.ajog.2019.11.272