Results 161 to 170 of about 117,054 (296)

Towards Tunable Graphene/Phthalocyanine–PPV Hybrid Systems

open access: yesAngewandte Chemie International Edition, 2011
Malig J.   +6 more
openaire   +3 more sources

Machine learning‐based prediction of large‐for‐gestational‐age neonates in diabetic and non‐diabetic pregnancies

open access: yesInternational Journal of Gynecology &Obstetrics, EarlyView.
Abstract Objective This study determines whether a machine‐learning model integrating sonographic biometry with maternal clinical parameters improves prediction of large‐for‐gestational‐age (LGA) compared with Hadlock's EFW formula. Methods We conducted a retrospective cohort study including all singleton live births at ≥32 gestational weeks at a ...
Ohad Houri   +7 more
wiley   +1 more source

Neutrophil‐to‐lymphocyte ratio at admission helps to predict the need for blood transfusion after vaginal delivery

open access: yesInternational Journal of Gynecology &Obstetrics, EarlyView.
Abstract Objective This study assesses the association between complete blood count (CBC) parameters, including the neutrophil‐to‐lymphocyte ratio (NLR) and the platelet‐to‐lymphocyte ratio (PLR) and predicts the need for postpartum packed red blood cell transfusion (pRBCT).
Daniel Gabbai   +4 more
wiley   +1 more source

Cohort Validation of the Endophthalmitis Vitrectomy Study for Generalized Etiologies. [PDF]

open access: yesClin Ophthalmol
Carpenter E   +5 more
europepmc   +1 more source

Hematologic markers and machine learning in predicting placenta accreta: A case–control study

open access: yesInternational Journal of Gynecology &Obstetrics, EarlyView.
Abstract Objective This study aims to enhance antenatal detection of placenta accreta spectrum (PAS) and predict severe hemorrhage at delivery using machine learning by evaluating the association between antenatal hematologic index trends across trimesters, imaging markers, and patient history.
Michael D. Jochum   +11 more
wiley   +1 more source

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