AIMC Topic: Metadata
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Machine learning to predict notes for chart review in the oncology setting: a proof of concept strategy for improving clinician note-writing.
Journal of the American Medical Informatics Association : JAMIA
Jun 20, 2024
OBJECTIVE: Leverage electronic health record (EHR) audit logs to develop a machine learning (ML) model that predicts which notes a clinician wants to review when seeing oncology patients.
pyM2aia: Python interface for mass spectrometry imaging with focus on deep learning.
Bioinformatics (Oxford, England)
Mar 4, 2024
SUMMARY: Python is the most commonly used language for deep learning (DL). Existing Python packages for mass spectrometry imaging (MSI) data are not optimized for DL tasks. We, therefore, introduce pyM2aia, a Python package for MSI data analysis with...
Structured Knowledge Base Enhances Effective Use of Large Language Models for Metadata Curation.
AMIA ... Annual Symposium proceedings. AMIA Symposium
Jan 1, 2024
field name-field value
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...
Ontology Development Kit: a toolkit for building, maintaining and standardizing biomedical ontologies.
Database : the journal of biological databases and curation
Oct 8, 2022
Similar to managing software packages, managing the ontology life cycle involves multiple complex workflows such as preparing releases, continuous quality control checking and dependency management. To manage these processes, a diverse set of tools i...
ImmuneData: an integrated data discovery system for immunology data repositories.
Database : the journal of biological databases and curation
Mar 9, 2022
UNLABELLED: To meet the increasing demand for data sharing, data reuse and meta-analysis in the immunology research community, we have developed the data discovery system ImmuneData. The system provides integrated access to five immunology data repos...
Cancer Needs a Robust "Metadata Supply Chain" to Realize the Promise of Artificial Intelligence.
Cancer research
Dec 1, 2021
Profound advances in computational methods, including artificial intelligence (AI), present the opportunity to use the exponentially growing volume and complexity of available cancer measurements toward data-driven personalized care. While exciting, ...
Combining Image Features and Patient Metadata to Enhance Transfer Learning.
Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference
Nov 1, 2021
In this work, we compare the performance of six state-of-the-art deep neural networks in classification tasks when using only image features, to when these are combined with patient metadata. We utilise transfer learning from networks pretrained on I...
OBO Foundry in 2021: operationalizing open data principles to evaluate ontologies.
Database : the journal of biological databases and curation
Oct 26, 2021
Biological ontologies are used to organize, curate and interpret the vast quantities of data arising from biological experiments. While this works well when using a single ontology, integrating multiple ontologies can be problematic, as they are deve...
Implementing FAIR data management within the German Network for Bioinformatics Infrastructure (de.NBI) exemplified by selected use cases.
Briefings in bioinformatics
Sep 2, 2021
This article describes some use case studies and self-assessments of FAIR status of de.NBI services to illustrate the challenges and requirements for the definition of the needs of adhering to the FAIR (findable, accessible, interoperable and reusabl...
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