AIMC Journal:
Studies in health technology and informatics
Showing 731 to 740 of 1278 articles
Challenges in Building of Deep Learning Models for Glioblastoma Segmentation: Evidence from Clinical Data.
Studies in health technology and informatics
May 27, 2021
In this article, we compare the performance of a state-of-the-art segmentation network (UNet) on two different glioblastoma (GB) segmentation datasets. Our experiments show that the same training procedure yields almost twice as bad results on the re...
Data Vizualization Dashboards in Robotic Rehabilitation.
Studies in health technology and informatics
May 27, 2021
Robotic rehabilitation can offer effective solutions, facilitating physiotherapist work, and helping patients regain their strength. Visualizing results of rehabilitative training could give a better insight into the factors that contribute to progre...
Federated Deep Learning Architecture for Personalized Healthcare.
Studies in health technology and informatics
May 27, 2021
Using deep learning to advance personalized healthcare requires data about patients to be collected and aggregated from disparate sources that often span institutions and geographies. Researchers regularly come face-to-face with legitimate security a...
Using Deep Learning for Individual-Level Predictions of Adherence with Growth Hormone Therapy.
Studies in health technology and informatics
May 27, 2021
The problem of consistent therapy adherence is a current challenge for health informatics, and its solution can increase the success rate of treatments. Here we show a methodology to predict, at individual-level, future therapy adherence for patients...
Prescreening in Oncology Using Data Sciences: The PreScIOUS Study.
Studies in health technology and informatics
May 27, 2021
The development of precision medicine in oncology to define profiles of patients who could benefit from specific and relevant anti-cancer therapies is essential. An increasing number of specific eligibility criteria are necessary to be eligible to ta...
Inter-Rater Reliability of Unstructured Text Labeling: Artificially vs. Naturally Intelligent Approaches.
Studies in health technology and informatics
May 27, 2021
Unstructured medical text labeling technologies are expected to be highly demanded since the interest in artificial intelligence and natural language processing arises in the medical domain. Our study aimed to assess the agreement between experts who...
The Classification of Short Scientific Texts Using Pretrained BERT Model.
Studies in health technology and informatics
May 27, 2021
Automated text classification is a natural language processing (NLP) technology that could significantly facilitate scientific literature selection. A specific topical dataset of 630 article abstracts was obtained from the PubMed database. We propose...
Deep Neural Network Driven Speech Classification for Relevance Detection in Automatic Medical Documentation.
Studies in health technology and informatics
May 27, 2021
The automation of medical documentation is a highly desirable process, especially as it could avert significant temporal and monetary expenses in healthcare. With the help of complex modelling and high computational capability, Automatic Speech Recog...
Towards a Semantic Data Harmonization Federated Infrastructure.
Studies in health technology and informatics
May 27, 2021
Data integration is an increasing need in medical informatics projects like the EU Precise4Q project, in which multidisciplinary semantically and syntactically heterogeneous data across several institutions needs to be integrated. Besides, data shari...
Deep Learning Methods to Predict Mortality in COVID-19 Patients: A Rapid Scoping Review.
Studies in health technology and informatics
May 27, 2021
The ongoing COVID-19 pandemic has become the most impactful pandemic of the past century. The SARS-CoV-2 virus has spread rapidly across the globe affecting and straining global health systems. More than 2 million people have died from COVID-19 (as o...
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