Results 41 to 50 of about 342,086 (247)

Observed Score Reliability Indices in Diagnostic Classification Models

Behaviormetrika, 2020
Quantifying the reliability of latent variable estimates in diagnostic classification models has been a difficult topic, complicated by the classification-based nature of these models. In this study, we derive observed score reliability indices based on diagnostic classification models as an extension of classical test theory-based reliability ...
Kazuhiro Yamaguchi, Jonathan Templin
openaire   +2 more sources

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

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

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

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

2010, odyssée des modèles de classification diagnostique (MCD)

Mesure et Évaluation en Éducation, 2010
Cet article vise à définir les modèles de classification diagnostique (MCD) et à déterminer leur place relativement à d’autres modélisations existantes comme la TRI. Les modèles RSM, DINA et NC-RUM sont exposés plus en détail.
Nathalie Loye
doaj   +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