Results 31 to 40 of about 341,153 (250)

Extending exploratory diagnostic classification models: Inferring the effect of covariates

British Journal of Mathematical and Statistical Psychology, 2023
Abstract Diagnostic models provide a statistical framework for designing formative assessments by classifying student knowledge profiles according to a collection of fine‐grained attributes. The context and ecosystem in which students learn may play an important role in skill mastery, and it is therefore important to develop methods ...
Hulya Duygu Yigit, Steven Andrew Culpepper   +1 more
openaire   +3 more sources

Carcinomas and Carcinoid Tumors of the Lungs and Bronchi in Children and Adolescents: The EXPeRT Recommendations

Pediatric Blood &Cancer, EarlyView.
ABSTRACT Primary lung carcinomas and bronchial carcinoid tumors (BC) are very rare malignancies in childhood. While typical BC and mucoepidermoid carcinomas are mostly low‐grade, localized tumors with a more favorable prognosis than in adults, necessitating avoidance of overtreatment, adenocarcinomas of the lung are often diagnosed at advanced disease ...
Michael Abele, Calogero Virgone, Michaela Kuhlen, Sabine Irtan, Yves Reguerre, Malgorzata Krawczyk, Ewa Bien, Tal Ben‐Ami, Maja Cesen, Ricardo Lopez‐Almaraz, Andrea Ferrari, Gianni Bisogno, Dominik T. Schneider, Abbas Agaimy, Constantin Lapa, Hubert Ducou le Pointe, Rainer Claus, Catherine Daniel, Ines B. Brecht, Daniel Orbach   +19 more
wiley   +1 more source

European Standard Clinical Practice Guideline and EXPeRT Recommendations for the Diagnosis and Management of Gastroenteropancreatic Neuroendocrine Neoplasms in Children and Adolescents

Pediatric Blood &Cancer, EarlyView.
ABSTRACT Pediatric gastroenteropancreatic neuroendocrine neoplasms (GEP‐NENs) are extremely rare and clinically heterogeneous. Management has largely been extrapolated from adult practice. This European Standard Clinical Practice Guideline (ESCP), developed by the EXPeRT network in collaboration with adult NEN experts, provides (adult) evidence ...
Michaela Kuhlen, Calogero Virgone, Antje Redlich, Michael Abele, Ricardo Lopez‐Almaraz, Tal Ben‐Ami, Ewa Bien, Gianni Bisogno, Maja Mazic Cesen, Andrea Ferrari, Malgorzata A. Krawczyk, Yves Reguerre, Dominik T. Schneider, Ines B. Brecht, Charlotte Rigaud, Bilgehan Yalcin, Rainer Claus, Christian Vokuhl, Constantin Lapa, Jörg Fuchs, Segolene Hescot, Thomas Walter, Julien Hadoux, Daniel Orbach   +23 more
wiley   +1 more source

Machine learning for the development of diagnostic models of decompensated heart failure or exacerbation of chronic obstructive pulmonary disease

Scientific Reports, 2023
Heart failure (HF) and chronic obstructive pulmonary disease (COPD) are two chronic diseases with the greatest adverse impact on the general population, and early detection of their decompensation is an important objective.
César Gálvez-Barrón, Carlos Pérez-López, Felipe Villar-Álvarez, Jesús Ribas, Francesc Formiga, David Chivite, Ramón Boixeda, Cristian Iborra, Alejandro Rodríguez-Molinero   +8 more
doaj   +1 more source

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

Clinical and Biological Features of Response in Resistant Neuroblastoma to 131I‐Metaiodobenzylguanidine Radiotherapy in the Anti‐GD2 Immunotherapy Era

Pediatric Blood &Cancer, EarlyView.
ABSTRACT Background 131I‐metaiodobenzylguanidine (131I‐MIBG) radiotherapy is a key treatment for relapsed and refractory (R/R) neuroblastoma (NB). Patients with R/R disease treated in the modern era are increasingly exposed to anti‐GD2 immunotherapy, which exerts selective pressure and may modify both tumor cell state and microenvironment.
Benjamin J. Lerman, Katherine K. Matthay, Fabienne Hollinger, Catriona Black, Ann A. Lazar, Miguel Pampaloni, Steven G. DuBois, Kieuhoa T. Vo   +7 more
wiley   +1 more source

Charting the trajectory of cognitive diagnostic assessment in language assessment: A systematic literature review

International Journal of Assessment Tools in Education
The education system has relied on conventional single-score assessments, which provide limited insights into students' cognitive abilities. Cognitive diagnostic assessment (CDA) offers a promising alternative by providing detailed information on ...
Mohd Effendi Ewan Mohd Matore, Nur Ainil Sulaiman, Muhamad Firdaus Mohd Noh   +2 more
doaj   +1 more source

Hospitalization Through Families’ Eyes: Comparing Inpatient Care Quality for Children With Sickle Cell Disease and Cystic Fibrosis in Canada

Pediatric Blood &Cancer, EarlyView.
ABSTRACT Background Sickle cell disease (SCD) is a chronic, inherited hemoglobinopathy that requires frequent hospitalization for disease‐related complications. Canadian data on inpatient care is limited. This study compared caregiver‐reported hospital experiences of children with SCD to those with cystic fibrosis (CF), a chronic, autosomal recessive ...
Hailey M. Zwicker, Kyle Kemp, Perri Tutelman, Sharon H. J. Hou, Paul Fairie, Maria Santana, Gregory M. T. Guilcher, Taryn Fay‐McClymont, Glenda Bendiak, Wendy Pelletier, Nicola Wright, Fiona Schulte   +11 more
wiley   +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

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