[HTML][HTML] Applications of machine learning in bone and mineral research
SH Kong, CS Shin - Endocrinology and metabolism, 2021 - synapse.koreamed.org
In this unprecedented era of the overwhelming volume of medical data, machine learning
can be a promising tool that may shed light on an individualized approach and a better …
can be a promising tool that may shed light on an individualized approach and a better …
An open-source platform integrating emerging data sources to support multi-modal active pharmacovigilance
VK Dimitriadis, S Dimitsaki, A Chytas… - Frontiers in Drug …, 2023 - frontiersin.org
As new data sources have emerged, the data space which Pharmacovigilance (PV)
processes can use has significantly expanded. However, still, the currently available tools …
processes can use has significantly expanded. However, still, the currently available tools …
Detection of novel drug-adverse drug reaction signals in rheumatoid arthritis and ankylosing spondylitis: analysis of Korean real-world biologics registry data
M Kwon, CI Joung, H Shin, CC Lee, YS Song… - Scientific Reports, 2024 - nature.com
This study aimed to detect signals of adverse drug reactions (ADRs) associated with
biological disease-modifying antirheumatic drugs (DMARDs) and targeted therapies in …
biological disease-modifying antirheumatic drugs (DMARDs) and targeted therapies in …
[HTML][HTML] Conversion of CPRD AURUM data into the OMOP common data model
CS Mayer - Informatics in Medicine Unlocked, 2023 - Elsevier
Introduction Efforts to standardize clinical data using Common Data Models (CDMS) has
grown in recent years. Use of CDMs allows for quicker understanding of data structure and …
grown in recent years. Use of CDMs allows for quicker understanding of data structure and …
Signal Detection of Unknown Adverse Drug Reactions of Biologic DMARDs Using Real-World Data from the Korean College of Rheumatology BIOlogics & Targeted …
M Kwon, CI Joung, H Shin, SM Lee, CC Lee… - Hyunah and Lee, Sang … - papers.ssrn.com
Objective: Biologic disease-modifying antirheumatic drugs or targeted therapies have
emerged as treatment categories in rheumatology. We aimed to detect signals of adverse …
emerged as treatment categories in rheumatology. We aimed to detect signals of adverse …