Results 131 to 140 of about 233,711 (284)

Evaluation of liver stiffness measurement–based scores in liver transplantation recipients

Liver Transplantation, EarlyView., 2022
Abstract Combining bioclinical parameters with liver stiffness measurement (LSM) has improved the diagnostic performance of vibration‐controlled transient elastography (VCTE) for detection of advanced fibrosis in patients with chronic liver disease. However, this approach has not yet been tested in liver transplantation (LT) recipients.
Tamoore Arshad, Chandra S. Bhati, Anh T. Bui, Michael Tseng, Dylan Vainer, Austin Miller, Marie‐Claire Evans, Taseen Syed, Vaishali Patel, Michael O. Idowu, Mark Muthiah, Mohammad Shadab Siddiqui   +11 more
wiley   +1 more source

Evaluating predictive values of umbilical cord arterial lactate for adverse newborn outcomes among term‐births in northern Uganda: A cross sectional analytical study

International Journal of Gynecology &Obstetrics, Volume 169, Issue 1, Page 408-420, April 2025.
Abstract Objective Birth asphyxia is one of the leading causes of death for neonates worldwide. Lack of an objective cost effective test to predict poor newborn outcomes at birth affects the ability to respond appropriately. This study determined predictive values of umbilical cord arterial lactate in relation to adverse neonatal outcomes. Methods This
Elizabeth Ayebare, James K. Tumwine, Jolly Nankunda, Anna Hjelmstedt, Wibke Jonas, Grace Ndeezi, Nicola Orsini, Claudia Hanson   +7 more
wiley   +1 more source

A DNA methylation assay (MPap) using self‐collected tampon versus cytology collection swab for endometrial cancer detection

International Journal of Gynecology &Obstetrics, EarlyView.
Abstract Objective To evaluate the practicability of self‐collected tampons with the MPap assay for endometrial cancer (EC) detection, by comparing with the results of cervical swabs. Methods A total of 85 women at Tri‐Service General Hospital (TSGH) were included to directly compare the performance of physician‐collected swabs and self‐collected ...
Kuo‐Min Su, Kuo‐Chang Wen, Yi‐Hsin Lin, Po‐Hsuan Su, Lin‐Yu Chen, Hung Cheng Lai   +5 more
wiley   +1 more source

Сущность и значение NPV

Экономический анализ: теория и практика, 2006
Оценка проекта это необходимое условие оптимизации инвестиционного процесса. В настоящее время главной задачей, стоящей перед финансовыми менеджерами, является использование методологии оценки эффективности инвестиционных проектов, которая соответствует современным требованиям.
openaire   +1 more source

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

International 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, Asaf Romano, Asnat Walfisch, Eran Hadar, Yinon Gilboa, Leor Perl, Nadav Loebl, Ron Unger   +7 more
wiley   +1 more source

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

International 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, Itamar Gilboa, Anat Lavie, Yariv Yogev, Emmanuel Attali   +4 more
wiley   +1 more source

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

International 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, Kelly D. Albrecht, Yamely Mendez Martinez, Victoria Zhang, Sanmay Sarada, Brian Burnett, Christina C. Reed, Karin A. Fox, Amir A. Shamshirsaz, Michael A. Belfort, Jessian L. Munoz, Hennie A. Lombaard   +11 more
wiley   +1 more source

Correlation of anthropometric parameters with serum progesterone levels for the prediction of ovulation in infertile women in Ile‐Ife, Nigeria

International Journal of Gynecology &Obstetrics, EarlyView.
Abstract Objective To correlate anthropometric parameters with serum levels of progesterone (P4) for the prediction of ovulation in infertile women. Methods Body mass index (BMI), cormic index (CI), waist‐hip ratio (WHR), waist‐height ratio (WHtR), neck circumference (NC) and triceps skinfold thickness (TSF) were measured for 60 anovulatory and ...
Akaninyene Eseme Ubom, Olumide Stephen Akinsomisoye, Muritala Abiola Asafa, Kelechi Nelson Adindu, Omobolanle Suliyat Ahmed, Tomiwa Akande   +5 more
wiley   +1 more source

Cost-Benefit Analysis of the Large Hadron Collider to 2025 and beyond

, 2015
Social cost-benefit analysis (CBA) of projects has been successfully applied in different fields such as transport, energy, health, education, and environment, including climate change.
Florio, Massimo, Forte, Stefano, Sirtori, Emanuela   +2 more
core  

Construction and Validation of a Preoperative Surgical Difficulty Prediction and Risk Stratification System for Posterior Spinal Deformity Correction Surgery Based on Machine Learning ‐ Multicenter Cohort Study

iMetaMed, EarlyView.
A web calculator, trained on multicenter data with seven Boruta‐selected preoperative features, predicts prolonged operative time for posterior spinal deformity correction to enable individualized planning and optimized operating‐room resources. ABSTRACT Operative duration reflects surgical complexity and is valuable for perioperative planning.
Chan Xu, Jialiang Zheng, Chengliang Yin, Runmin Li, Xubin Quan, Binghao Chen, Zhaohui Hu, Tongqing Luo, Hao Jiang, Xuewen Hou, Qizhong Xu, Weiheng He, Liang Chen, Anfa Chen, Xin Zhou, Wei Huang, Sen Gao, Jiali Yu, Zhi‐Ri Tang, Yusi Zhang, Kai Wang, Shi‐Nan Wu, Wencai Liu, Xiangdong Xi, Haizhen Ding, Qiang Liu, Haopeng Luan, Wenle Li   +27 more
wiley   +1 more source