Results 201 to 210 of about 111,551 (360)

Predicting Malignant Transformation in Oral Leukoplakia: A Multilayer Perceptron Approach Incorporating Clinicopathological Features and DNA Content

Journal of Oral Pathology &Medicine, EarlyView.
ABSTRACT Background Oral leukoplakia (OL) is a potentially malignant disorder of the oral mucosa. Accurate prediction of malignant transformation (MT) remains a clinical challenge. This study aimed to develop and evaluate a machine learning model that integrates histopathological, demographic, and DNA content features to predict MT risk in OL.
Guilherme Iani Pontes, Anna Luíza Damaceno Araújo, Andresa Borges Soares, Saman Warnakulasuriya, André Luis Santana de Freitas, Caroline Gennari Stevão, Marcelo Sperandio, Matheus Cardoso Moraes   +7 more
wiley   +1 more source

Cross‐Sectional Studies: Strengths, Limitations, and Methodological Considerations

Journal of Periodontal Research, EarlyView.
Cross‐sectional studies measure variables at a single time point to estimate prevalence and support descriptive epidemiology ‐ characterizing population health, tracking trends via repeated surveys – and for developing and validating screening instruments and diagnostic models.
Sebastian‐Edgar Baumeister, Thomas Kocher, Panos N. Papapanou, Birte Holtfreter, Ryan T. Demmer   +4 more
wiley   +1 more source

A cluster-assisted differential evolution-based hybrid oversampling method for imbalanced datasets. [PDF]

PeerJ Comput Sci
Karabiyik MA, Turkoglu B, Asuroglu T.
europepmc   +1 more source

Prevalence and Risk Factors for Obstructive Sleep Apnea in São Paulo: Findings From the 4th Edition of the EPISONO Study

Journal of Sleep Research, EarlyView.
ABSTRACT Obstructive sleep apnea (OSA) affects around 936 million individuals worldwide, making it the most prevalent breathing‐related sleep disorder. The aim was to estimate the prevalence of OSA in São Paulo, Brazil, based on data from the São Paulo Epidemiologic Sleep Study (EPISONO) 4th edition.
Sergio Tufik, Allan Saj Porcacchia, Gabriel Natan Pires, Monica Levy Andersen   +3 more
wiley   +1 more source

An Oversampling-Enhanced Multi-Class Imbalanced Classification Framework for Patient Health Status Prediction Using Patient-Reported Outcomes. [PDF]

IEEE Access
Yan Y, Chen Z, Xu C, Shen X, Shiao J, Einck J, Chen RC, Gao H.   +7 more
europepmc   +1 more source

A 2-5 Gbps fully differential 3X oversampling CDR for high-speed serial data link

, 2010
Kulanathan Kiddinapillai
openalex   +2 more sources

Exploring the Perspectives and Experiences of Donor and Recipient Mothers Regarding Human Milk Bank Services in Iran

Maternal &Child Nutrition, EarlyView.
This qualitative study explores Iranian mothers' perspectives on human milk banks (HMBs), revealing five key themes: awareness, infrastructure needs, donated milk as hope, and the role of beliefs/family support. Findings emphasize the necessity of public education, HMB expansion, and improved equipment to better serve preterm infants and encourage milk
Zahra Mahdikhani, Shahideh Jahanian Sadatmahalleh, Zainab Alimoradi, Abbas Habibelahi   +3 more
wiley   +1 more source

Oversampling techniques for imbalanced data in regression

Expert systems with applications
S. Belhaouari, Ashhadul Islam, Khelil Kassoul, Ala I. Al-Fuqaha, A. Bouzerdoum   +4 more
semanticscholar   +1 more source

Time Sensitive and Oversampling Learning for Systemic Crisis Forecasting [PDF]

Francesco De Nicolò, Marianna La Rocca, A Marrone, A. Monaco, Sabina Tangaro, Nicola Amoroso, R. Bellotti   +6 more
openalex   +1 more source

The gradual decline of colonial ideologies (2009–2018): A latent growth curve analysis of historical negation and symbolic exclusion among settler colonizers

Political Psychology, EarlyView.
Abstract In nations laden with colonial inequities, settler colonizers protect their structural advantages through ideologies that (a) distance the injustices of colonization from contemporary society (historical negation) and (b) exclude Indigenous culture from the mainstream national identity (symbolic exclusion).
Zoe Bertenshaw, Chris G. Sibley, Danny Osborne   +2 more
wiley   +1 more source