AIMC Topic: Semantics
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PCAO2: an ontology for integration of prostate cancer associated genotypic, phenotypic and lifestyle data.
Briefings in bioinformatics
Mar 27, 2024
Disease ontologies facilitate the semantic organization and representation of domain-specific knowledge. In the case of prostate cancer (PCa), large volumes of research results and clinical data have been accumulated and needed to be standardized for...
Structured Prompt Interrogation and Recursive Extraction of Semantics (SPIRES): a method for populating knowledge bases using zero-shot learning.
Bioinformatics (Oxford, England)
Mar 4, 2024
MOTIVATION: Creating knowledge bases and ontologies is a time consuming task that relies on manual curation. AI/NLP approaches can assist expert curators in populating these knowledge bases, but current approaches rely on extensive training data, and...
Large Language Models: A Historical and Sociocultural Perspective.
Cognitive science
Mar 1, 2024
This letter explores the intricate historical and contemporary links between large language models (LLMs) and cognitive science through the lens of information theory, statistical language models, and socioanthropological linguistic theories. The eme...
Automatic labeling of facial zones for digital clinical application: An ensemble of semantic segmentation models.
Skin research and technology : official journal of International Society for Bioengineering and the Skin (ISBS) [and] International Society for Digital Imaging of Skin (ISDIS) [and] International Society for Skin Imaging (ISSI)
Feb 1, 2024
INTRODUCTION: The application of artificial intelligence to facial aesthetics has been limited by the inability to discern facial zones of interest, as defined by complex facial musculature and underlying structures. Although semantic segmentation mo...
Multi-scale topology and position feature learning and relationship-aware graph reasoning for prediction of drug-related microbes.
Bioinformatics (Oxford, England)
Feb 1, 2024
MOTIVATION: The human microbiome may impact the effectiveness of drugs by modulating their activities and toxicities. Predicting candidate microbes for drugs can facilitate the exploration of the therapeutic effects of drugs. Most recent methods conc...
Large-Scale Standardized Image Integration for Secondary Use Research Projects.
Studies in health technology and informatics
Jan 25, 2024
Imaging techniques are a cornerstone of today's medicine and can be crucial for a successful therapy. But in addition, the generated imaging series are an important resource for new informatics' methods, especially in the field of artificial intellig...
Uncovering Variations in Clinical Notes for NLP Modeling.
Studies in health technology and informatics
Jan 25, 2024
Clinical text contains rich patient information and has attracted much research interest in applying Natural Language Processing (NLP) tools to model it. In this study, we quantified and analyzed the textual characteristics of five common clinical no...
The DO-KB Knowledgebase: a 20-year journey developing the disease open science ecosystem.
Nucleic acids research
Jan 5, 2024
In 2003, the Human Disease Ontology (DO, https://disease-ontology.org/) was established at Northwestern University. In the intervening 20 years, the DO has expanded to become a highly-utilized disease knowledge resource. Serving as the nomenclature a...
Enhancing Semantic and Structure Modeling of Diseases for Diagnosis Prediction.
AMIA ... Annual Symposium proceedings. AMIA Symposium
Jan 1, 2024
Electronic Health Records (EHRs) are valuable healthcare data, aiding researchers and doctors in improving diagnosis accuracy. Researchers have developed several predictive models by learning disease representations to forecast the potential diagnosi...
Optimizing Medication Querying Using Ontology-Driven Approach with OMOP: with an application to a large-scale COVID-19 EHR dataset.
AMIA ... Annual Symposium proceedings. AMIA Symposium
Jan 1, 2024
Efficient querying for medication information in Electronic Health Record (EHR) datasets is crucial for effective patient care and clinical research. To address the complexity and data volume challenges involved in efficient medication information re...
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