Results 51 to 60 of about 1,527,895 (263)

An Intelligent Hybrid Feature Selection Approach for SCIM Inter-Turn Fault Classification at Minor Load Conditions Using Supervised Learning

IEEE Access, 2023
In industries, squirrel cage induction motors are crucial for supplying rotary motion in power tools. This research presents a robust but simple framework for an inter-turn fault classification at minor loading across diverse fault occurrence conditions,
Chibuzo Nwabufo Okwuosa, Jang-Wook Hur
doaj   +1 more source

Central Nervous System Neuroblastoma, FOXR2‐Activated: A Pooled Analysis of Published Clinical Outcomes

Pediatric Blood &Cancer, EarlyView.
ABSTRACT Background Central nervous system (CNS) neuroblastoma, FOXR2‐activated, is a recently recognized entity in the WHO CNS5 classification, defined by activation of the FOXR2 transcription factor and unique histopathological features. This review synthesizes available literature and pooled clinical data, providing insight into demographics ...
Sudarshawn Damodharan, Mohamed S. Abdelbaki   +1 more
wiley   +1 more source

Cognitive Diagnosis Method via Q-Matrix-Embedded Neural Networks

Applied Sciences
Cognitive diagnosis is one of the essential components in intelligent education and aims to diagnose student’s skill or knowledge mastery based on their responses.
Jinhong Tao, Wei Zhao, Fengjuan Liu, Xiaoqing Guo, Nuo Cheng, Qian Guo, Xiaoqing Xu, Hong Duan   +7 more
doaj   +1 more source

Utilizing Deep Convolutional Neural Networks and Hybrid Classification for Gastrointestinal Disease Diagnosis from Capsule Endoscopy Images [PDF]

Journal of Biomedical Physics and Engineering
Background: Wireless Capsule Endoscopy (WCE) is the gold standard for painless and sedation-free visualization of the Gastrointestinal (GI) tract. However, reviewing WCE video files, which often exceed 60,000 frames, can be labor-intensive and may result
Ehsan Roodgar Amoli, Amin Amiri Tehranizadeh, Hossein Arabalibeik   +2 more
doaj   +1 more source

Prevalence of 21 Physician‐Defined Severe Toxicities Following Childhood Acute Lymphoblastic Leukemia Treatment: Australian Retrospective Cohort Study

Pediatric Blood &Cancer, EarlyView.
ABSTRACT Background Acute lymphoblastic leukemia (ALL) is the most common pediatric cancer, with an overall survival now surpassing 90% in developed countries. However, treatments are not without adverse effects. In this study, we apply the severe toxicity‐free survival (STFS) framework to determine the prevalence of 21 physician‐defined severe ...
Lane Collier, Brittany Grantham, Camilla Grud Nielsen, Louise Lundgren, Liv Andrés‐Jensen, Kjeld Schmiegelow, Chris Selman, Gareth Ball, Elyse Passmore, David A. Elliott, Rachel Conyers   +10 more
wiley   +1 more source

Digital transformation in healthcare: leveraging machine learning for predictive analytics in chronic kidney diseases prevention [PDF]

Journal of Innovative Digital Transformation
PurposeThis study investigates the application of machine learning (ML) to enhance the early detection of Chronic Kidney Disease (CKD), addressing the limitations of traditional binary classification methods by implementing a multiclass classification ...
Eshrag Ali Refaee
doaj   +1 more source

Omics-CNN: A comprehensive pipeline for predictive analytics in quantitative omics using one-dimensional convolutional neural networks

Heliyon, 2023
Background and objective: The development of machine learning-based models that can be used for the prediction of severe diseases has been one of the main concerns of the scientific community. The current study seeks to expand a highly sophisticated tool,
Anastasia Zompola, Aigli Korfiati, Konstantinos Theofilatos, Seferina Mavroudi   +3 more
doaj   +1 more source

Rational Use of Herbal Products in Pediatric Patients Treated With Anticancer Drugs in the European Union

Pediatric Blood &Cancer, EarlyView.
ABSTRACT Introduction The use of herbal medical preparation (HMP) is rising among pediatric oncology patients, often to manage treatment‐related symptoms. Their effectiveness remains uncertain, and the risk of herb–drug interactions is underestimated.
Orianne Mahot, Mathieu Corvaisier, Laurence Spiesser‐Robelet, Mylène Duplan, Isabelle Pellier, Delphine Bourneau‐Martin, Séverine Derbré   +6 more
wiley   +1 more source

Guidelines for Pediatric Radiotherapy Simulation: A Report From the Children's Oncology Group Radiation Oncology Discipline

Pediatric Blood &Cancer, EarlyView.
ABSTRACT Pediatric radiation therapy presents unique challenges compared to adult treatments, including those of immobilization, potential need for sedation, and the critical importance of accurate, reproducible positioning. Additionally, heightened attention to imaging doses is necessary to minimize long‐term toxicity in survivors.
Parham Alaei, Stephen Mihalcik, Sujith Baliga, Young Kwok, Dana Casey, Eric Ehler, Christiane Burton, John C. Breneman, Daphne A. Haas‐Kogan, Suzanne L. Wolden, Arnold C. Paulino, Nadia N. Laack, Natia Esiashvili, Sarah Milgrom, Christine Hill‐Kayser, Thomas J. Fitzgerald, John A. Kalapurakal, Chia‐Ho Hua   +17 more
wiley   +1 more source

Properties and performance of the one-parameter log-linear cognitive diagnosis model

Frontiers in Education
Diagnostic classification models (DCMs) are psychometric models that yield probabilistic classifications of respondents according to a set of discrete latent variables. The current study examines the recently introduced one-parameter log-linear cognitive
Lientje Maas, Matthew J. Madison, Matthieu J. S. Brinkhuis   +2 more
doaj   +1 more source