AIMC Topic: Knowledge Bases

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GlycoEnzOnto: a GlycoEnzyme pathway and molecular function ontology.

Bioinformatics (Oxford, England)
MOTIVATION: The 'glycoEnzymes' include a set of proteins having related enzymatic, metabolic, transport, structural and cofactor functions. Currently, there is no established ontology to describe glycoEnzyme properties and to relate them to glycan bi...

Development of a Knowledge Base for Chronic Wound Management Using the Decision Model & Notation.

Studies in health technology and informatics
Chronic wounds have significant impacts on patient health-related quality of life (HRQoL) and the healthcare expenditures. Various complex decision-making scenarios arise from wound management. Clinical decision-making systems (CDSS) can assist in re...

Exploration of the Decision Model and Notation (DMN) Standard for Representation of Knowledge Bases Encoded in the Arden Syntax.

Studies in health technology and informatics
CONTEXT: Arden Syntax encodes knowledge as Medical Logic Modules (MLMs). Current work involves improvement of its representation of business processes.

REDIRECT: Mapping Drug Prescriptions and Evidence from Biomedical Literature.

Studies in health technology and informatics
To enhance their practice, healthcare professionals need to cross-link various usage recommendations provided by heterogeneous vocabularies that must be retrieved and integrated conjointly. This is the aim of the Knowledge Warehouse / K-Ware platform...

Attention-based Knowledge Graph Representation Learning for Predicting Drug-drug Interactions.

Briefings in bioinformatics
Drug-drug interactions (DDIs) are known as the main cause of life-threatening adverse events, and their identification is a key task in drug development. Existing computational algorithms mainly solve this problem by using advanced representation lea...

Knowledge-based BERT: a method to extract molecular features like computational chemists.

Briefings in bioinformatics
Molecular property prediction models based on machine learning algorithms have become important tools to triage unpromising lead molecules in the early stages of drug discovery. Compared with the mainstream descriptor- and graph-based methods for mol...

Protein design via deep learning.

Briefings in bioinformatics
Proteins with desired functions and properties are important in fields like nanotechnology and biomedicine. De novo protein design enables the production of previously unseen proteins from the ground up and is believed as a key point for handling rea...

Evaluating the predictive accuracy of curated biological pathways in a public knowledgebase.

Database : the journal of biological databases and curation
ABSTRACT: Reactome is a database of human biological pathways manually curated from the primary literature and peer-reviewed by experts. To evaluate the utility of Reactome pathways for predicting functional consequences of genetic perturbations, we ...

Defining AMIA's artificial intelligence principles.

Journal of the American Medical Informatics Association : JAMIA
Recent advances in the science and technology of artificial intelligence (AI) and growing numbers of deployed AI systems in healthcare and other services have called attention to the need for ethical principles and governance. We define and provide a...

Something New and Different: The Unified Medical Language System.

Studies in health technology and informatics
Donald A.B. Lindberg M.D. arrived at the U.S. National Library of Medicine in 1984 and quickly launched the Unified Medical Language System (UMLS) research and development project to help computer understand biomedical meaning and to enable retrieval...