AIMC Journal:
Studies in health technology and informatics

Showing 571 to 580 of 1278 articles

Explaining Contextualized Word Embeddings in Biomedical Research - A Qualitative Investigation.

Studies in health technology and informatics
Contextualized word embeddings proved to be highly successful quantitative representations of words that allow to efficiently solve various tasks such as clinical entity normalization in unstructured texts. In this paper, we investigate how the Sauss...

Automatic Wound Type Classification with Convolutional Neural Networks.

Studies in health technology and informatics
Chronic wounds are ulcerations of the skin that fail to heal because of an underlying condition such as diabetes mellitus or venous insufficiency. The timely identification of this condition is crucial for healing. However, this identification requir...

Integrating Human Patterns of Qualitative Coding with Machine Learning: A Pilot Study Involving Technology-Induced Error Incident Reports.

Studies in health technology and informatics
The objective of this research was to develop a reproducible method of integrating human patterns of qualitative coding with machine learning. The application of qualitative codes from the technology-induced error and safety literatures to the analys...

Inference Time of a CamemBERT Deep Learning Model for Sentiment Analysis of COVID Vaccines on Twitter.

Studies in health technology and informatics
In previous work, we implemented a deep learning model with CamemBERT and PyTorch, and built a microservices architecture using the TorchServe serving library. Without TorchServe, inference time was three times faster when the model was loaded once i...

Designing a Social Robot Companion to Support Homecare: Usability Results.

Studies in health technology and informatics
Earlier studies show frail seniors often experience loneliness and depression. Moreover, frailty can lead problems with medication and nutrition patterns. The availability of family care and/or nursing care at home is limited. Digital companions, suc...

Ethical Issues in the Utilization of Black Boxes for Artificial Intelligence in Medicine.

Studies in health technology and informatics
Artificial Intelligence (AI) has made major progress in recent years in many fields. With regard of medicine however, the utilization of AI raises numerous ethical questions, especially since newer and much more accurate algorithms function as black ...

Comparison of Data Classification Results for Leap Motion Recovery Gestures.

Studies in health technology and informatics
Static and dynamic gestures are frequently used in activities supporting learning, recovery healthcare, engineering, and 3D games to increase the interactivity between man and machine. The gestures are detected via hardware devices and data is proces...

Data Federation in Healthcare for Artificial Intelligence Solutions.

Studies in health technology and informatics
Data federation offers a way to get data moving from multiple sources providing advantages in healthcare systems where medical data is often hard to reach because of regulations or the lack of reliable solutions that can integrate on top of protocols...

Substantive Interpretation of Machine Learning Solutions by the Example of Determining the Activity of the Tuberculosis Process in Individuals with Minimal Tuberculosis Residual Changes.

Studies in health technology and informatics
In this article is described an application of various machine learning (ML) methods to obtain decision rules and its interpretation to a problem of recognition of activity of the tuberculosis process. The research data base included 489 patients reg...

Beyond the Brain: MIDS Extends BIDS to Multiple Modalities and Anatomical Regions.

Studies in health technology and informatics
Brain Imaging Data Structure (BIDS) provides a valuable tool to organise brain imaging data into a clear and easy standard directory structure. Moreover, BIDS is widely supported by the scientific community and has been established as a powerful stan...