Results 101 to 110 of about 7,306,095 (347)
Clinical Phenotyping of Long COVID Patients Evaluated in a Specialized Neuro‐COVID Clinic
Annals of Clinical and Translational Neurology, EarlyView.ABSTRACT Objective To report Long COVID characteristics and longitudinal courses of patients evaluated between 4/14/21–4/14/22 at the University of Pennsylvania Neurological COVID Clinic (PNCC), including clinical symptoms, neurological examination findings, and neurocognitive screening tests from a standardized PNCC neurological evaluation approach ...
Luana D. Yamashita +7 more
wiley +1 more source
Characterizing health informatics journals by subject-level dependencies: a citation network analysis [PDF]
arXiv, 2018 Citation network analysis has become one of methods to study how scientific knowledge flows from one domain to another. Health informatics is a multidisciplinary field that includes social science, software engineering, behavioral science, medical science and others.
arxiv
HSLIC Annual Report 1999-00 [PDF]
, 2000 https://digitalrepository.unm.edu/hslic-annual-reports/1010/thumbnail ...
Health Sciences Library and Informatics Center
core +1 more source
Public Health and Epidemiology Informatics [PDF]
Yearbook of Medical Informatics, 2016 Summary Objectives: The aim of this manuscript is to provide a brief overview of the scientific challenges that should be addressed in order to unlock the full potential of using data from a general point of view, as well as to present some ideas that could help answer specific needs for data understanding in the field of health sciences and ...
Flahault, Antoine +2 more
openaire +3 more sources
FAIR and Structured Data: A Domain Ontology Aligned with Standard‐Compliant Tensile Testing
Advanced Engineering Materials, Volume 27, Issue 8, April 2025.The digitalization in materials science and engineering is discussed, emphasizing the importance of digital workflows and ontologies in managing diverse experimental data. Challenges such as quality assurance and data interoperability are tackled with semantic web technologies, focusing and introducing the tensile test ontology (TTO).
Markus Schilling +6 more
wiley +1 more source
adobe medicus 2012 5 September-October [PDF]
, 2012 https://digitalrepository.unm.edu/adobe-medicus/1068/thumbnail ...
Health Sciences Library and Informatics Center
core +1 more source
Digital Methods for the Fatigue Assessment of Engineering Steels
Advanced Engineering Materials, Volume 27, Issue 8, April 2025.The use of engineering steels is often limited by their fatigue strength. In the sake of a faster product development, the fatigue behavior can be predicted by machine learning (ML). In this work, ML is applied on a heterogeneous database, covering a wide range of steel types.
Sascha Fliegener +7 more
wiley +1 more source
adobe medicus 2015 4 July-August [PDF]
, 2015 https://digitalrepository.unm.edu/adobe-medicus/1055/thumbnail ...
Health Sciences Library and Informatics Center
core +1 more source
Managing information in Health Informatics [PDF]
Acta Informatica Medica, 2017 Only once we agree upon our understanding of what words really mean can we debate whether a concept, represented by those words, is or not well represented significantly in specific application. Conceptual clarity and predicative/impredicative competence are the fundamental components for managing information more effectively in Health Informatics ...
Fiorini, Rodolfo A., Masic, Izet
openaire +4 more sources
Interactive machine learning for health informatics: when do we need the human-in-the-loop?
Brain Informatics, 2016 Machine learning (ML) is the fastest growing field in computer science, and health informatics is among the greatest challenges. The goal of ML is to develop algorithms which can learn and improve over time and can be used for predictions.
Andreas Holzinger
semanticscholar +1 more source