AIMC Topic: Data Management
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Enhancing Clinical Data and Clinical Research Data with Biomedical Ontologies - Insights from the Knowledge Representation Perspective.
Yearbook of medical informatics
Aug 16, 2019
OBJECTIVES: There exists a communication gap between the biomedical informatics community on one side and the computer science/artificial intelligence community on the other side regarding the meaning of the terms "semantic integration" and "knowledg...
A new approach for arrhythmia classification using deep coded features and LSTM networks.
Computer methods and programs in biomedicine
May 10, 2019
BACKGROUND AND OBJECTIVE: For diagnosis of arrhythmic heart problems, electrocardiogram (ECG) signals should be recorded and monitored. The long-term signal records obtained are analyzed by expert cardiologists. Devices such as the Holter monitor hav...
Pattern Recognition, Automated
Data Compression
Signal Processing, Computer-Assisted
Neural Networks, Computer
Electrocardiography, Ambulatory
Reproducibility of Results
Humans
Algorithms
Software
Arrhythmias, Cardiac
Data Management
Databases, Factual
Electrocardiography
Principal Component Analysis
High-content screening (HCS) workflows for FAIR image data management with OMERO.
Scientific reports
May 9, 2025
High-content screening (HCS) for bioimaging is a powerful approach to studying biological processes, enabling the acquisition of large amounts of images from biological samples. However, it generates massive amounts of metadata, making HCS experiment...
Dilemmas and prospects of artificial intelligence technology in the data management of medical informatization in China: A new perspective on SPRAY-type AI applications.
Health informatics journal
Jan 1, 2024
This study aims to address the critical challenges of data integrity, accuracy, consistency, and precision in the application of electronic medical record (EMR) data within the healthcare sector, particularly within the context of Chinese medical in...
EMBL's European Bioinformatics Institute (EMBL-EBI) in 2022.
Nucleic acids research
Jan 6, 2023
The European Molecular Biology Laboratory's European Bioinformatics Institute (EMBL-EBI) is one of the world's leading sources of public biomolecular data. Based at the Wellcome Genome Campus in Hinxton, UK, EMBL-EBI is one of six sites of the Europe...
Fungal names: a comprehensive nomenclatural repository and knowledge base for fungal taxonomy.
Nucleic acids research
Jan 6, 2023
Fungal taxonomy is a complex and rapidly changing subject, which makes proper naming of fungi challenging for taxonomists. A registration platform with a standardized and information-integrated database is a powerful tool for efficient research on fu...
Predicting the structure of unexplored novel fentanyl analogues by deep learning model.
Briefings in bioinformatics
Nov 19, 2022
Fentanyl and its analogues are psychoactive substances and the concern of fentanyl abuse has been existed in decades. Because the structure of fentanyl is easy to be modified, criminals may synthesize new fentanyl analogues to avoid supervision. The ...
A scoping review of publicly available language tasks in clinical natural language processing.
Journal of the American Medical Informatics Association : JAMIA
Sep 12, 2022
OBJECTIVE: To provide a scoping review of papers on clinical natural language processing (NLP) shared tasks that use publicly available electronic health record data from a cohort of patients.
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...
Artificial Intelligence in Kidney Transplantation: A Scoping Review.
Studies in health technology and informatics
May 25, 2022
Artificial Intelligence (AI) technologies are increasingly being used to enhance kidney transplant outcomes. In this review, we explore the use of AI in kidney transplantation (KT) in the existing literature. Four databases were searched to identify ...
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