A scoping review of semantic integration of health data and information
Objective We summarized a decade of new research focusing on semantic data integration
(SDI) since 2009, and we aim to:(1) summarize the state-of-art approaches on integrating …
(SDI) since 2009, and we aim to:(1) summarize the state-of-art approaches on integrating …
Trends and features of the applications of natural language processing techniques for clinical trials text analysis
Natural language processing (NLP) is an effective tool for generating structured information
from unstructured data, the one that is commonly found in clinical trial texts. Such …
from unstructured data, the one that is commonly found in clinical trial texts. Such …
As ontologies reach maturity, artificial intelligence starts being fully efficient: findings from the section on knowledge representation and management for the yearbook …
F Dhombres, J Charlet - Yearbook of medical informatics, 2018 - thieme-connect.com
Objectives: To select, present, and summarize the best papers published in 2017 in the field
of Knowledge Representation and Management (KRM). Methods: A comprehensive and …
of Knowledge Representation and Management (KRM). Methods: A comprehensive and …
An ontology-based documentation of data discovery and integration process in cancer outcomes research
Background To reduce cancer mortality and improve cancer outcomes, it is critical to
understand the various cancer risk factors (RFs) across different domains (eg, genetic …
understand the various cancer risk factors (RFs) across different domains (eg, genetic …
Differential gene expression analysis of RNA-seq data using machine learning for Cancer research
Transcriptome analysis, as a tool for the characterization and understanding of phenotypic
alterations in molecular biology, plays an integral role in the understanding of complex, multi …
alterations in molecular biology, plays an integral role in the understanding of complex, multi …
Knowledge guided integration of structured and unstructured data in health decision process
M Radaoui, S Ben Abdallah Ben Lamine… - 2019 - aisel.aisnet.org
Data in the health domain is continuously increasing. It is collected from several sources,
has several formats and is characterized by its sensibility (protection of personal health …
has several formats and is characterized by its sensibility (protection of personal health …
Histogram distance metric learning to diagnose breast cancer using semantic analysis and natural language interpretation methods
DG Jebadas, M Sivaram, BS Vidhyasagar… - … and advancements of …, 2022 - Springer
Breast cancer is one of the major causes of mortality rate increase among women, in both
developed and under-developed countries. Hormone-dependent cancers are possibly …
developed and under-developed countries. Hormone-dependent cancers are possibly …
Cancer precision medicine today: Towards omic information in healthcare systems
Introduction: This article focuses on the integration of omics data in electronic health records
and on interoperability aspects relating to big data analysis for precision medicine. Methods …
and on interoperability aspects relating to big data analysis for precision medicine. Methods …
Enhancing Predictive Power in Personalized Breast Cancer Treatment through the Integration of Multi-Omics Data and Clinical Information with Deep Learning …
A Varpe, R Bhujbal, R Kumar - 2024 MIT Art, Design and …, 2024 - ieeexplore.ieee.org
The paper explores the complexities of personalized breast cancer treatment, by integration
of multi-omics data, clinical data, and advanced computational tools. The heterogeneous …
of multi-omics data, clinical data, and advanced computational tools. The heterogeneous …
Using semantic web technologies to underpin the SNOMED CT query language
SNOMED International is working on a query language specification for SNOMED CT, which
we call here SCTQL. SNOMED CT is the leading terminology for use in Electronic Health …
we call here SCTQL. SNOMED CT is the leading terminology for use in Electronic Health …