AIMC Topic: Knowledge Bases
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CircaKB: a comprehensive knowledgebase of circadian genes across multiple species.
Nucleic acids research
Jan 6, 2025
Circadian rhythms, which are the natural cycles that dictate various physiological processes over a 24-h period, have been increasingly recognized as important in the management and treatment of various human diseases. However, the lack of sufficient...
The Metabolic Treatabolome and Inborn Errors of Metabolism Knowledgebase therapy tool: Do not miss the opportunity to treat!
Journal of inherited metabolic disease
Jan 1, 2025
Inborn errors of metabolism (IEMs) are rare genetic conditions with significant morbidity and mortality. Technological advances have increased therapeutic options, making it challenging to remain up to date. A centralized therapy knowledgebase is nee...
Biologically Enhanced Machine Learning Model to uncover Novel Gene-Drug Targets for Alzheimer's Disease.
Pacific Symposium on Biocomputing. Pacific Symposium on Biocomputing
Jan 1, 2025
Given the complexity and multifactorial nature of Alzheimer's disease, investigating potential drug-gene targets is imperative for developing effective therapies and advancing our understanding of the underlying mechanisms driving the disease. We pre...
[Research on Construction of Knowledge Base for MRI Equipment Maintenance Based on Knowledge Graph].
Zhongguo yi liao qi xie za zhi = Chinese journal of medical instrumentation
Sep 30, 2024
To improve the level of modern hospital management and establish a scientific and effective medical equipment maintenance guarantee system, this paper proposes the construction of a dynamic interactive fault repair knowledge base system for magnetic ...
Large language models leverage external knowledge to extend clinical insight beyond language boundaries.
Journal of the American Medical Informatics Association : JAMIA
Sep 1, 2024
OBJECTIVES: Large Language Models (LLMs) such as ChatGPT and Med-PaLM have excelled in various medical question-answering tasks. However, these English-centric models encounter challenges in non-English clinical settings, primarily due to limited cli...
Studying Privacy Aspects of Learned Knowledge Bases in the Context of Synthetic and Medical Data.
Studies in health technology and informatics
Aug 30, 2024
INTRODUCTION: Retrieving comprehensible rule-based knowledge from medical data by machine learning is a beneficial task, e.g., for automating the process of creating a decision support system. While this has recently been studied by means of exceptio...
Knowledge Base Prototype Creating with Using Interdisciplinary Metathesaurus.
Studies in health technology and informatics
Aug 22, 2024
This article presents our experience in development an ontological model can be used in clinical decision support systems (CDSS) creating. We have used the largest international biomedical terminological metathesaurus the Unified Medical Language Sys...
BELHD: improving biomedical entity linking with homonym disambiguation.
Bioinformatics (Oxford, England)
Aug 2, 2024
MOTIVATION: Biomedical entity linking (BEL) is the task of grounding entity mentions to a given knowledge base (KB). Recently, neural name-based methods, system identifying the most appropriate name in the KB for a given mention using neural network ...
PPCRKB: a risk factor knowledge base of postoperative pulmonary complications.
Database : the journal of biological databases and curation
Jul 19, 2024
Postoperative pulmonary complications (PPCs) are highly heterogeneous disorders with diverse risk factors frequently occurring after surgical interventions, resulting in significant financial burdens, prolonged hospitalization and elevated mortality ...
Knowledge Models for Cancer Clinical Practice Guidelines: Construction, Management and Usage in Question Answering.
Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference
Jul 1, 2024
An automated knowledge modeling algorithm for Cancer Clinical Practice Guidelines (CPGs) extracts the knowledge contained in the CPG documents and transforms it into a programmatically interactable, easy-to-update structured model with minimal human ...
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