Side effects of methotrexate therapy for rheumatoid arthritis: A systematic review
W Wang, H Zhou, L Liu - European journal of medicinal chemistry, 2018 - Elsevier
Methotrexate (MTX) is used as an anchor disease-modifying anti-rheumatic drugs
(DMARDs) in treating rheumatoid arthritis (RA) because of its potent efficacy and tolerability …
(DMARDs) in treating rheumatoid arthritis (RA) because of its potent efficacy and tolerability …
[HTML][HTML] Clinical information extraction applications: a literature review
Background With the rapid adoption of electronic health records (EHRs), it is desirable to
harvest information and knowledge from EHRs to support automated systems at the point of …
harvest information and knowledge from EHRs to support automated systems at the point of …
[HTML][HTML] Natural language processing systems for capturing and standardizing unstructured clinical information: a systematic review
K Kreimeyer, M Foster, A Pandey, N Arya… - Journal of biomedical …, 2017 - Elsevier
We followed a systematic approach based on the Preferred Reporting Items for Systematic
Reviews and Meta-Analyses to identify existing clinical natural language processing (NLP) …
Reviews and Meta-Analyses to identify existing clinical natural language processing (NLP) …
[HTML][HTML] Machine learning techniques for personalised medicine approaches in immune-mediated chronic inflammatory diseases: applications and challenges
In the past decade, the emergence of machine learning (ML) applications has led to
significant advances towards implementation of personalised medicine approaches for …
significant advances towards implementation of personalised medicine approaches for …
[HTML][HTML] A systematic review of the applications of artificial intelligence and machine learning in autoimmune diseases
IS Stafford, M Kellermann, E Mossotto, RM Beattie… - NPJ digital …, 2020 - nature.com
Autoimmune diseases are chronic, multifactorial conditions. Through machine learning (ML),
a branch of the wider field of artificial intelligence, it is possible to extract patterns within …
a branch of the wider field of artificial intelligence, it is possible to extract patterns within …
The secondary use of electronic health records for data mining: Data characteristics and challenges
The primary objective of implementing Electronic Health Records (EHRs) is to improve the
management of patients' health-related information. However, these records have also been …
management of patients' health-related information. However, these records have also been …
A review of PHR, EMR and EHR integration: A more personalized healthcare and public health policy
Objective To review and present the relationship and need for integrating EMR, EHR and
PHR data, by highlighting its use and value challenges and threats. Method Critical …
PHR data, by highlighting its use and value challenges and threats. Method Critical …
Natural language processing for EHR-based computational phenotyping
This article reviews recent advances in applying natural language processing (NLP) to
Electronic Health Records (EHRs) for computational phenotyping. NLP-based …
Electronic Health Records (EHRs) for computational phenotyping. NLP-based …
[HTML][HTML] Artificial intelligence in rheumatoid arthritis: current status and future perspectives: a state-of-the-art review
Investigation of the potential applications of artificial intelligence (AI), including machine
learning (ML) and deep learning (DL) techniques, is an exponentially growing field in …
learning (ML) and deep learning (DL) techniques, is an exponentially growing field in …
A BERT-based universal model for both within-and cross-sentence clinical temporal relation extraction
Classic methods for clinical temporal relation extraction focus on relational candidates within
a sentence. On the other hand, break-through Bidirectional Encoder Representations from …
a sentence. On the other hand, break-through Bidirectional Encoder Representations from …