[HTML][HTML] Artificial intelligence in cancer care: From diagnosis to prevention and beyond
M Farrokhi, A Moeini, F Taheri, M Farrokhi, M Mostafavi… - Kindle, 2023 - preferpub.org
Artificial Intelligence (AI) has made significant strides in revolutionizing cancer care,
encompassing various aspects from diagnosis to prevention and beyond. With its ability to …
encompassing various aspects from diagnosis to prevention and beyond. With its ability to …
Semantic ontologies for complex healthcare structures: a sco** review
The healthcare environment is made up of highly complicated interactions between many
technologies, activities, and people. Ensuring a solid communication between them is vital …
technologies, activities, and people. Ensuring a solid communication between them is vital …
Industrial safety management in the digital era: Constructing a knowledge graph from near misses
Learning from incidents is instrumental for modern safety management. Over recent years, a
positive safety trend proved a steady decrease in the number of high-consequences …
positive safety trend proved a steady decrease in the number of high-consequences …
An automatic generation of heterogeneous knowledge graph for global disease support: A demonstration of a cancer use case
N Maghawry, S Ghoniemy, E Shaaban… - Big Data and Cognitive …, 2023 - mdpi.com
Semantic data integration provides the ability to interrelate and analyze information from
multiple heterogeneous resources. With the growing complexity of medical ontologies and …
multiple heterogeneous resources. With the growing complexity of medical ontologies and …
Coordinating virus research: The Virus Infectious Disease Ontology
J Beverley, S Babcock, G Carvalho, LG Cowell… - Plos one, 2024 - journals.plos.org
The COVID-19 pandemic prompted immense work on the investigation of the SARS-CoV-2
virus. Rapid, accurate, and consistent interpretation of generated data is thereby of …
virus. Rapid, accurate, and consistent interpretation of generated data is thereby of …
Develo** a Novel Ontology for Cybersecurity in Internet of Medical Things-Enabled Remote Patient Monitoring
IoT has seen remarkable growth, particularly in healthcare, leading to the rise of IoMT. IoMT
integrates medical devices for real-time data analysis and transmission but faces challenges …
integrates medical devices for real-time data analysis and transmission but faces challenges …
Data integration from traditional to big data: main features and comparisons of ETL approaches
Data integration combines information from different sources to provide a comprehensive
view for making informed business decisions. The ETL (Extract, Transform, and Load) …
view for making informed business decisions. The ETL (Extract, Transform, and Load) …
Using natural language processing to analyze unstructured patient-reported outcomes data derived from Electronic Health Records for cancer populations: a …
ABSTRACT Introduction Patient-reported outcomes (PROs; symptoms, functional status,
quality-of-life) expressed in the 'free-text'or 'unstructured'format within clinical notes from …
quality-of-life) expressed in the 'free-text'or 'unstructured'format within clinical notes from …
The Immunopeptidomics Ontology (ImPO)
The adaptive immune response plays a vital role in eliminating infected and aberrant cells
from the body. This process hinges on the presentation of short peptides by major …
from the body. This process hinges on the presentation of short peptides by major …
A step towards quantifying, modelling and exploring uncertainty in biomedical knowledge graphs
Objective: This study aims at automatically quantifying and modelling the uncertainty of facts
in biomedical knowledge graphs (BKGs) based on their textual supporting evidence using …
in biomedical knowledge graphs (BKGs) based on their textual supporting evidence using …