AIMC Topic: Knowledge Bases

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Common knowledge processing patterns in networks of different systems.

PloS one
Knowledge processing has patterns which can be found in biological neuron activity and artificial neural networks. The work explores whether an underlying structure exists for knowledge which crosses domains. The results show common data processing p...

Infrastructure tools to support an effective Radiation Oncology Learning Health System.

Journal of applied clinical medical physics
PURPOSE: Radiation Oncology Learning Health System (RO-LHS) is a promising approach to improve the quality of care by integrating clinical, dosimetry, treatment delivery, research data in real-time. This paper describes a novel set of tools to suppor...

Associating biological context with protein-protein interactions through text mining at PubMed scale.

Journal of biomedical informatics
Inferring knowledge from known relationships between drugs, proteins, genes, and diseases has great potential for clinical impact, such as predicting which existing drugs could be repurposed to treat rare diseases. Incorporating key biological contex...

Semantically enabling clinical decision support recommendations.

Journal of biomedical semantics
BACKGROUND: Clinical decision support systems have been widely deployed to guide healthcare decisions on patient diagnosis, treatment choices, and patient management through evidence-based recommendations. These recommendations are typically derived ...

Creating an ignorance-base: Exploring known unknowns in the scientific literature.

Journal of biomedical informatics
BACKGROUND: Scientific discovery progresses by exploring new and uncharted territory. More specifically, it advances by a process of transforming unknown unknowns first into known unknowns, and then into knowns. Over the last few decades, researchers...

A novel gluten knowledge base of potential biomedical and health-related interactions extracted from the literature: Using machine learning and graph analysis methodologies to reconstruct the bibliome.

Journal of biomedical informatics
BACKGROUND: In return for their nutritional properties and broad availability, cereal crops have been associated with different alimentary disorders and symptoms, with the majority of the responsibility being attributed to gluten. Therefore, the rese...

KEBLM: Knowledge-Enhanced Biomedical Language Models.

Journal of biomedical informatics
Pretrained language models (PLMs) have demonstrated strong performance on many natural language processing (NLP) tasks. Despite their great success, these PLMs are typically pretrained only on unstructured free texts without leveraging existing struc...

TaughtNet: Learning Multi-Task Biomedical Named Entity Recognition From Single-Task Teachers.

IEEE journal of biomedical and health informatics
In Biomedical Named Entity Recognition (BioNER), the use of current cutting-edge deep learning-based methods, such as deep bidirectional transformers (e.g. BERT, GPT-3), can be substantially hampered by the absence of publicly accessible annotated da...

Leveraging Semantic Type Dependencies for Clinical Named Entity Recognition.

AMIA ... Annual Symposium proceedings. AMIA Symposium
Previous work on clinical relation extraction from free-text sentences leveraged information about semantic types from clinical knowledge bases as a part of entity representations. In this paper, we exploit additional evidence by also making use of ....

GPT-4: a new era of artificial intelligence in medicine.

Irish journal of medical science
GPT-4 is the latest version of ChatGPT which is reported by OpenAI to have greater problem-solving abilities and an even broader knowledge base. We examined GPT-4's ability to inform us about the latest literature in a given area, and to write a disc...