AIMC Journal:
Studies in health technology and informatics
Showing 701 to 710 of 1278 articles
A Learning Framework for Medical Image-Based Intelligent Diagnosis from Imbalanced Datasets.
Studies in health technology and informatics
Nov 18, 2021
Medical image classification and diagnosis based on machine learning has made significant achievements and gradually penetrated the healthcare industry. However, medical data characteristics such as relatively small datasets for rare diseases or imba...
Encoding Health Records into Pathway Representations for Deep Learning.
Studies in health technology and informatics
Nov 18, 2021
There is a growing trend in building deep learning patient representations from health records to obtain a comprehensive view of a patient's data for machine learning tasks. This paper proposes a reproducible approach to generate patient pathways fro...
Evaluation of a Medication Robot Through Participatory Design Methods - A Case Study in Denmark.
Studies in health technology and informatics
Nov 8, 2021
The demographics in Denmark are changing. People's life expectancy is increasing, which puts a strain on the home care resources. The aim of this article is to get a deeper insight to how a specific medication robot in elders' homes can be further de...
How Socio-Technical Factors Can Undermine Expectations of Human-Robot Cooperation in Hospitals.
Studies in health technology and informatics
Nov 8, 2021
This research analysed human-robot cooperation and interaction in the basement of a Danish hospital, where kitchen staff and porters conducted their daily routines in an environment shared with mobile service robots. The robots were installed to ease...
Automatic Extraction and Decryption of Abbreviations from Domain-Specific Texts.
Studies in health technology and informatics
Oct 27, 2021
This paper explores the problems of extraction and decryption of abbreviations from domain-specific texts in Russian. The main focus are unstructured electronic medical records which pose specific preprocessing problems. The major challenge is that t...
Regulation Modelling and Analysis Using Machine Learning During the Covid-19 Pandemic in Russia.
Studies in health technology and informatics
Oct 27, 2021
Due to the specific circumstances related to the COVID-19 pandemic, many countries have enforced emergency measures such as self-isolation and restriction of movement and assembly, which are also directly affecting the functioning of their respective...
Understanding the Gap Between Information Models and Realism-Based Ontologies Using the Generic Component Model.
Studies in health technology and informatics
Oct 27, 2021
The wide-spread use of Common Data Models and information models in biomedical informatics encourages assumptions that those models could provide the entirety of what is needed for knowledge representation purposes. Based on the lack of computable se...
A NLP Pipeline for the Automatic Extraction of Microorganisms Names from Microbiological Notes.
Studies in health technology and informatics
Oct 27, 2021
According to the "Istituto Superiore di Sanita'" (ISS), hospital infections are the most frequent and serious complication of health care. This constitutes a real health emergency which requires incisive and joint action at all levels of the local an...
Statistical Inference for Clustering Results Interpretation in Clinical Practice.
Studies in health technology and informatics
Oct 27, 2021
The relevance of this study lies in improvement of machine learning models understanding. We present a method for interpreting clustering results and apply it to the case of clinical pathways modeling. This method is based on statistical inference an...
Predicting the Aortic Aneurysm Postoperative Risks Based on Russian Integrated Data.
Studies in health technology and informatics
Oct 27, 2021
This article describes the results of feature extraction from unstructured medical records and prediction of postoperative complications for patients with thoracic aortic aneurysm operations using machine learning algorithms. The datasets from two di...
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