Results 131 to 140 of about 20,190,277 (243)

Machine learning-enabled systematic review on coded healthcare data in heart failure research. [PDF]

Eur Heart J Digit Health
Champsi A, Slater KT, Gill S, Dyszynski T, Schröder M, Suzart-Woischnik K, Tyl B, Allée G, Sartorius A, Lumbers RT, Asselbergs FW, Grobbee DE, Gkoutos G, Kotecha D.   +13 more
europepmc   +1 more source

Medical students' perspectives on body donation to science within the Italian context

Anatomical Sciences Education, EarlyView.
Abstract Body donation is essential for medical education and research, supporting anatomical training and clinical competence. In Italy, national data on awareness of the legislation regulating body donation and factors shaping donation‐related decisions among healthcare trainees remain limited. This study investigated knowledge of the legal framework,
Antonietta Fazio, Giulio Vara, Veronica Moretti, Annalisa Plava, Anna Maria Billi, Alessandra Ruggeri, Giulia Adalgisa Mariani, Marilisa Quaranta, Simone Lodi, Cecilia Acuti Martellucci, Maria Alessandra Sotgiu, Valentina Di Felice, Sergio Castorina, Guido Carpino, Veronica Macchi, Rita Rezzani, Mario Rende, Andrea Montella, Lucio Cocco, Lucia Manzoli, Stefano Ratti   +20 more
wiley   +1 more source

Digital Capability, Open-Source Use, and Interoperability Standards Within the National Health Service in England: Survey of Health Care Trusts. [PDF]

JMIR Hum Factors
Bennion MR, Spencer R, Moore RK, Kenyon R.   +3 more
europepmc   +1 more source

Considering user experience and cognitive load in the design and development of a virtual reality application for embodied anatomy learning

Anatomical Sciences Education, EarlyView.
Abstract Virtual reality (VR) offers new possibilities for anatomy education through immersive and embodied interaction. Early‐stage evaluation of VR tools is necessary to assess user experience and perceived cognitive load and to guide iterative development.
Mélanie Gallot, Mira Hajj‐Hassan, Rawad Chaker, Christian Collet, Nady Hoyek   +4 more
wiley   +1 more source

Reproducible Data Analysis With R in Laboratory Hematology. [PDF]

Int J Lab Hematol
Obstfeld AE.
europepmc   +1 more source

Data, not documents: Moving beyond theories of information‐seeking behavior to advance data discovery

Journal of the Association for Information Science and Technology, Volume 76, Issue 4, Page 649-664, April 2025.
Abstract Many theories of human information behavior (HIB) assume that information objects are in text document format. This paper argues four important HIB theories are insufficient for describing users' search strategies for data because of assumptions about the attributes of objects that users seek.
Anthony J. Million, Jeremy York, Sara Lafia, Libby Hemphill   +3 more
wiley   +1 more source

A four-module neural architecture for the automatic extraction and classification of causal relations in text. [PDF]

Front Artif Intell
Taberkhan R, Tasbolatuly N, Sambetbayeva M, Tazhibayeva S, Zhumay N, Abdygalym B, Kaldarova M.   +6 more
europepmc   +1 more source

Essential work, invisible workers: The role of digital curation in COVID‐19 Open Science

Journal of the Association for Information Science and Technology, Volume 76, Issue 4, Page 703-717, April 2025.
Abstract In this paper, we examine the role digital curation practices and practitioners played in facilitating open science (OS) initiatives amid the COVID‐19 pandemic. In Summer 2023, we conducted a content analysis of available information regarding 50 OS initiatives that emerged—or substantially shifted their focus—between 2020 and 2022 to address ...
Irene V. Pasquetto, Amina A. Abdu, Natascha Chtena   +2 more
wiley   +1 more source

OrgTRx: A Platform Developed in Queensland for the Extraction and Visualisation of Antimicrobial Susceptibility Data for the Surveillance of Resistance in Microorganisms. [PDF]

Antibiotics (Basel)
Coulter S, Hamilton H, Holmes P, Davis L, Heney C, Siebert D.   +5 more
europepmc   +1 more source

Context‐centric proactive information delivery for Knowledge Work support: Opportunities, challenges, and directions. An Annual Review of Information Science and Technology (ARIST) paper

Journal of the Association for Information Science and Technology, EarlyView.
Abstract Context‐centric proactive information delivery (PID) is a relatively underexplored domain within recommender systems (RS) aimed at enhancing Knowledge Workers' productivity by proactively providing relevant information during digital tasks.
Mahta Bakhshizadeh, Christian Jilek, Markus Schröder, Heiko Maus, Andreas Dengel   +4 more
wiley   +1 more source