[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 …

Semantic ontologies for complex healthcare structures: a sco** review

A Luschi, C Petraccone, G Fico, L Pecchia… - IEEE …, 2023 - ieeexplore.ieee.org
The healthcare environment is made up of highly complicated interactions between many
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

F Simone, SM Ansaldi, P Agnello, R Patriarca - Computers in Industry, 2023 - Elsevier
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 …

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 …

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 …

Develo** a Novel Ontology for Cybersecurity in Internet of Medical Things-Enabled Remote Patient Monitoring

KS Bughio, DM Cook, SAA Shah - Sensors, 2024 - mdpi.com
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 …

Data integration from traditional to big data: main features and comparisons of ETL approaches

A Walha, F Ghozzi, F Gargouri - The Journal of Supercomputing, 2024 - Springer
Data integration combines information from different sources to provide a comprehensive
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 …

JA Sim, X Huang, MR Horan, JN Baker… - Expert Review of …, 2024 - Taylor & Francis
ABSTRACT Introduction Patient-reported outcomes (PROs; symptoms, functional status,
quality-of-life) expressed in the 'free-text'or 'unstructured'format within clinical notes from …

The Immunopeptidomics Ontology (ImPO)

D Faria, P Eugénio, M Contreiras Silva, L Balbi… - Database, 2024 - academic.oup.com
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 …

A step towards quantifying, modelling and exploring uncertainty in biomedical knowledge graphs

A Bahaj, M Ghogho - Computers in Biology and Medicine, 2025 - Elsevier
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 …