Results 121 to 130 of about 60,054 (340)
Application of machine learning in constructing a diagnostic model for neonatal biliary atresia
This study included 85 neonates who visited the hospital due to pathological jaundice. Using the basic clinical characteristics and serological examination data of the neonatal period, we developed six machine‐learning (ML) models. Extreme gradient boosting has the maximum potential to diagnose biliary atresia in the neonatal period.
Dingding Wang +11 more
wiley +1 more source
Remaining life definition of crane metal construction on value of coercive forces [PDF]
In this work, the condition definition of bridge crane metal construction and prognostication of its remaining life on the basis of nondestructive control method by using coercive forces is presented.
Grigorov, O. V. +3 more
core
ABSTRACT Objectives Pre‐eclampsia (PE) is a multisystem pregnancy‐specific disorder, and its screening remains a global health priority. The primary goals of this systematic review and meta‐analysis were to accumulate all available data to assess the potential added value of maternal ophthalmic artery (OA) Doppler indices in combination with several ...
I. Sapantzoglou +8 more
wiley +1 more source
A Nomogram for Estimation of the Cardiac Valve Areas [PDF]
Peter Wong, Charles A. Sanders
openalex +1 more source
ABSTRACT Objective To perform an updated meta‐analysis evaluating the diagnostic performance of transvaginal ultrasound (TVS) for detecting lateral parametrial involvement in women with suspected deep pelvic endometriosis. Methods A literature search was performed in the Web of Science, PubMed and Scopus databases from January 2021 to May 2024 for ...
J. L. Alcázar +7 more
wiley +1 more source
RAPID COMPUTATION OF RATES WITH A SIMPLE NOMOGRAM [PDF]
Robert Maribe Branch, Stephen Sulzbacher
openalex +1 more source
Knowledge-based Transfer Learning Explanation [PDF]
Machine learning explanation can significantly boost machine learning's application in decision making, but the usability of current methods is limited in human-centric explanation, especially for transfer learning, an important machine learning branch ...
Chen, Huajun +4 more
core +2 more sources
Abstract Background Prostate cancer (PCa) patients are at risk of developing second primary malignancies (SPMs), which can significantly shorten their survival. Understanding the risk of SPMs and associated factors is crucial to the optimization of patient follow‐up.
Qi Zhang +11 more
wiley +1 more source
Nomograms for Simplified Demographic Calculations [PDF]
William A. Reinke +2 more
openalex +1 more source
Nomograms for Relative Humidity [PDF]
J. B. d. V. Weir, G. H. Bell
openaire +3 more sources

