AIMC Journal:
Studies in health technology and informatics
Showing 551 to 560 of 1278 articles
Surveys Aimed at General Citizens of the US and Japan About Their Attitudes Toward Electronic Medical Data Handling - 10 Years Change, Before and After Covid-19.
Studies in health technology and informatics
Oct 26, 2022
OBJECTIVES: To clarify the views of the general population of two countries (US and Japan), concerning handling of their medical records electronically, disclosure of the name of disease, secondary usage of information, compiling their records into a...
Innovative Accesibility Data Inventory Tools for Urban Environments in Historic Sites.
Studies in health technology and informatics
Sep 2, 2022
The development of the cognitive framework regarding the current performances of the historic built environment in physical accessibility plays a key role in the definition of inclusive design strategies. To this end, this paper presents the comparis...
GRASCCO - The First Publicly Shareable, Multiply-Alienated German Clinical Text Corpus.
Studies in health technology and informatics
Aug 17, 2022
We describe the creation of GRASCCO, a novel German-language corpus composed of some 60 clinical documents with more than.43,000 tokens. GRASCCO is a synthetic corpus resulting from a series of alienation steps to obfuscate privacy-sensitive informat...
Development of a Knowledge Base for Chronic Wound Management Using the Decision Model & Notation.
Studies in health technology and informatics
Aug 17, 2022
Chronic wounds have significant impacts on patient health-related quality of life (HRQoL) and the healthcare expenditures. Various complex decision-making scenarios arise from wound management. Clinical decision-making systems (CDSS) can assist in re...
A Machine Learning Solution to Predict Elective Orthopedic Surgery Case Duration.
Studies in health technology and informatics
Jun 29, 2022
We used surgery durations, patient demographic and personnel data taken from the East Kent Hospitals University NHS Foundation Trust (EKHUFT) over a period of 10 years (2010-2019) for a total of 25,352 patients that underwent 15 highest volume electi...
Predicting the Length of Stay in Neurosurgery with RuGPT-3 Language Model.
Studies in health technology and informatics
Jun 29, 2022
In this study, we update the evaluation of the Russian GPT3 model presented in our previous paper in predicting the length of stay (LOS) in neurosurgery. We aimed to assess the performance the Russian GPT-3 (ruGPT-3) language model in LOS prediction ...
A Comparison of Convolutional Neural Networks and Traditional Feature-Based Classification Applied to Leukaemia Image Analysis.
Studies in health technology and informatics
Jun 29, 2022
The accuracy of smear test image classification is a fundamental aspect in differentiating the type of leukaemia and determining the right treatment to improve the patient's chances of survival and recovery. Image Classification has lately become a v...
Artificial Intelligence: On the Way to Doctor's Trust.
Studies in health technology and informatics
Jun 29, 2022
The submission is devoted to reflections on the role of trust to modern IT systems, especially based on the AI technologies. Its purpose is to draw the attention of the medical informatics community to the need to achieve trust at all stages of the l...
Deep Time Growing Neural Network vs Convolutional Neural Network for Intelligent Phonocardiography.
Studies in health technology and informatics
Jun 29, 2022
This paper explores the capabilities of a sophisticated deep learning method, named Deep Time Growing Neural Network (DTGNN), and compares its possibilities against a generally well-known method, Convolutional Neural network (CNN). The comparison is ...
A Formal Model for the FAIR4Health Information Architecture.
Studies in health technology and informatics
Jun 29, 2022
In the EU project FAIR4Health, a ETL pipeline for the FAIRification of structured health data as well as an agent-based, distributed query platform for the analysis of research hypotheses and the training of machine learning models were developed. Th...
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