AIMC Journal:
Studies in health technology and informatics

Showing 611 to 620 of 1278 articles

The Effect of Data Augmentation in Deep Learning Approach for Peripheral Blood Leukocyte Recognition.

Studies in health technology and informatics Jun 6, 2022
Data augmentation is reported as a useful technique to generate a large amount of image datasets from a small image dataset. The aim of this study is to clarify the effect of data augmentation for leukocyte recognition with deep learning. We performe...
Humans Deep Learning Leukocytes
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The Classification of Scientific Abstracts Using Text Statistical Features.

Studies in health technology and informatics Jun 6, 2022
Automated abstracts classification could significantly facilitate scientific literature screening. The classification of short texts could be based on their statistical properties. This research aimed to evaluate the quality of short medical abstract...
Machine Learning Natural Language Processing
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Analysis of Causal Relationships in Integrated Ontologies of Diseases, Phenotypes, and Radiological Diagnosis.

Studies in health technology and informatics Jun 6, 2022
Biomedical ontologies encode knowledge in a form that makes it computable. The current study used the integration of three large biomedical ontologies-the Disease Ontology (DO), Human Phenotype Ontology (HPO), and Radiology Gamuts Ontology (RGO)-to e...
Phenotype Causality Radiography Radiology Biological Ontologies
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Clinical Comparable Corpus Describing the Same Subjects with Different Expressions.

Studies in health technology and informatics Jun 6, 2022
Medical artificial intelligence (AI) systems need to learn to recognize synonyms or paraphrases describing the same anatomy, disease, treatment, etc. to better understand real-world clinical documents. Existing linguistic resources focus on variants ...
Humans Artificial Intelligence Language Radiography Radiology Radiologists
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A Novel Personalized Random Forest Algorithm for Clinical Outcome Prediction.

Studies in health technology and informatics Jun 6, 2022
Machine learning algorithms that derive predictive models are useful in predicting patient outcomes under uncertainty. These are often "population" algorithms which optimize a static model to predict well on average for individuals in the population;...
Humans Machine Learning Algorithms Prognosis Uncertainty
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Data-Sharing Gateway System Design for Large-Scale Medical Information Collection with Distributed EMR Storage.

Studies in health technology and informatics Jun 6, 2022
The collection and use of large-scale medical information for developing artificial intelligence engines are actively ongoing. In Japan, collection systems have been built to collect data for medical image analysis and disease repositories. In the ex...
Humans Artificial Intelligence Databases, Factual Electronic Health Records Data Management Information Dissemination
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Comparison of MetaMap, cTAKES, SIFR, and ECMT to Annotate Breast Cancer Patient Summaries.

Studies in health technology and informatics Jun 6, 2022
Most clinical texts including breast cancer patient summaries (BCPSs) are elaborated as narrative documents difficult to process by decision support systems. Annotators have been developed to extract the relevant content of such documents, e.g., Meta...
Humans Language Female Breast Neoplasms Natural Language Processing Unified Medical Language System
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Towards an Adaptive Clinical Transcription System for In-Situ Transcribing of Patient Encounter Information.

Studies in health technology and informatics Jun 6, 2022
Electronic patient charts are essential for follow-up and multi-disciplinary care, but either take up an exorbitant amount of time during the patient encounter using a key-stroke entry system, or suffer from poor recall when made long after the encou...
Humans Language Speech Natural Language Processing Workflow Data Collection
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Adding an Attention Layer Improves the Performance of a Neural Network Architecture for Synonymy Prediction in the UMLS Metathesaurus.

Studies in health technology and informatics Jun 6, 2022
BACKGROUND: Terminology integration at the scale of the UMLS Metathesaurus (i.e., over 200 source vocabularies) remains challenging despite recent advances in ontology alignment techniques based on neural networks.
Neural Networks, Computer Attention Unified Medical Language System
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AHD2FHIR: A Tool for Mapping of Natural Language Annotations to Fast Healthcare Interoperability Resources - A Technical Case Report.

Studies in health technology and informatics Jun 6, 2022
A significant portion of data in Electronic Health Records is only available as unstructured text, such as surgical or finding reports, clinical notes and discharge summaries. To use this data for secondary purposes, natural language processing (NLP)...
Humans Delivery of Health Care Electronic Health Records Language Natural Language Processing Health Level Seven
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