Results 61 to 70 of about 20,788 (183)

Using multilabel classification neural network to detect intersectional DIF with small sample sizes

British Journal of Mathematical and Statistical Psychology, EarlyView.
Abstract This study introduces InterDIFNet, a multilabel classification neural network for detecting intersectional differential item functioning (DIF) in educational and psychological assessments, with a focus on small sample sizes. Unlike traditional marginal DIF methods, which often fail to capture the effects of intersecting identities and require ...
Yale Quan, Chun Wang
wiley   +1 more source

Towards an All-Purpose Content-Based Multimedia Information Retrieval System

, 2019
The growth of multimedia collections - in terms of size, heterogeneity, and variety of media types - necessitates systems that are able to conjointly deal with several forms of media, especially when it comes to searching for particular objects. However,
Gasser, Ralph, Rossetto, Luca, Schuldt, Heiko   +2 more
core  

Alternative Approaches for Estimating Highest‐Density Regions

International Statistical Review, EarlyView.
Summary Among the variety of statistical intervals, highest‐density regions (HDRs) stand out for their ability to effectively summarise a distribution or sample, unveiling its distinctive and salient features. An HDR represents the minimum size set that satisfies a certain probability coverage, and current methods for their computation require ...
Nina Deliu, Brunero Liseo
wiley   +1 more source

An Uncertainty Based Approach for Dealing With Selection Bias in Non‐Probability Samples

International Statistical Review, EarlyView.
Summary The main issue with non‐probability samples is that the standard design‐based approach cannot be applied as the selection mechanism is unknown. In this paper, the concept of uncertainty on data generating model, resulting from the lack of knowledge of the sampling design acting in the non‐probability sample, is discussed.
Pier Luigi Conti, Daniela Marella
wiley   +1 more source

Use of Conventional Artificial Intelligence Methods in the Identification of Frailty: A Scoping Review

Journal of the American Geriatrics Society, EarlyView.
ABSTRACT Background Early identification and management of frailty are crucial, yet its detection in early stages remains difficult for clinicians. Artificial intelligence (AI) has emerged as a promising tool in healthcare. However, the absence of a standard frailty definition and diversity of AI methods create a need for a comprehensive review.
Kunal Ashok Dalsania, Alixe Ménard, Shruthi Sundararaman, Arya Rahgozar, Sarah de Lima, Xintong Lu, Aya Al‐Ali, Krishnpriya Singh, Ramtin Hakimjavadi, Hui Yan, Claire Sethuram, Howard Bergman, Jim LaPlante, Daniel McIsaac, Samira Abbasgholizadeh Rahimi, Nadia Sourial, Manpreet Thandi, Sabrina Wong, Clare Liddy, Karen Bandeen‐Roche, Sathya Karunananthan   +20 more
wiley   +1 more source

Community‐Oriented or Self‐Interested? Citizen Motivations for Engaging in Digital Coproduction

Public Administration, EarlyView.
ABSTRACT Public organizations increasingly use digitally enabled platforms such as 311 (a nonemergency service in the United States) to facilitate coproduction and improve service delivery. While prior research has examined coproducers' motivations, we know little about motivations for digital coproduction.
Vishal Trehan, Gregory Porumbescu, Suzanne Piotrowski   +2 more
wiley   +1 more source

Teaching Data Science to Diverse Learners: A Hybrid and Interdisciplinary Approach

Teaching Statistics, EarlyView.
Abstract This paper describes the development and delivery of an introductory data science course designed for interdisciplinary master's students studying in a hybrid format, without advanced mathematics prerequisites. The course addresses the increasing need for data science skills among non‐specialists, preparing them to tackle real‐world challenges.
Stuart King, Serveh Sharifi Far
wiley   +1 more source

Research Topics and Trends in MIMIC‐IV: A Large ICU Database Relevant for Critical Care Nursing

Nursing in Critical Care, Volume 31, Issue 3, May 2026.
ABSTRACT Background The Medical Information Mart for Intensive Care‐IV (MIMIC‐IV) clinical database has become a central resource for data‐driven critical care research, enabling advances in clinical informatics, machine learning and nursing science.
Yuh‐Shan Ho, Ahmed Ben Salem, Mahdi Kchaou, Abdulhameed Dere, Yosra Mzid, Houcemeddine Turki   +5 more
wiley   +1 more source

Predicting Prolonged Hospital Length of Stay in Trauma Patients Using Machine Learning Techniques: A Cross‐Sectional Study

Health Science Reports, Volume 9, Issue 4, April 2026.
ABSTRACT Background and Aim Hospitalization due to trauma places a significant financial burden on healthcare systems, patients, and insurers. Predicting the length of stay can support resource management and workflow, ultimately enhancing healthcare interventions.
Maasoumeh Maghsoudi, Azadeh Bashiri, Vahid Rahmanian, Somayyeh Zakerabasali   +3 more
wiley   +1 more source

Multicentre Evaluation of an AI‐Assisted Urine Test for Clinically Significant Prostate Cancer in Men Undergoing Initial Biopsy

Journal of Extracellular Vesicles, Volume 15, Issue 4, April 2026.
ABSTRACT The Extracellular Vesicles Gene‐based Prostate Score (EGPS), powered by DeepSeek, is an artificial intelligence (AI) diagnostic tool that enhances the detection of clinically significant prostate cancer (csPCa) using urinary EV‐derived gene expression, without requiring digital rectal examination (DRE).
Shaoqin Jiang, Chunguang Yang, Zhangcheng Huang, Zebang Guo, Feiting Lu, Xinwen Nian, Zhenlin Chen, Pengwei Luo, Jiawei Jiang, Xu Gao, Mengqiang Li, Fei Liu   +11 more
wiley   +1 more source