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 …

[HTML][HTML] Clinical information extraction applications: a literature review

Y Wang, L Wang, M Rastegar-Mojarad, S Moon… - Journal of biomedical …, 2018 - Elsevier
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 …

[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) …

[HTML][HTML] Machine learning techniques for personalised medicine approaches in immune-mediated chronic inflammatory diseases: applications and challenges

J Peng, EC Jury, P Dönnes, C Ciurtin - Frontiers in pharmacology, 2021 - frontiersin.org
In the past decade, the emergence of machine learning (ML) applications has led to
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 …

The secondary use of electronic health records for data mining: Data characteristics and challenges

T Sarwar, S Seifollahi, J Chan, X Zhang… - ACM Computing …, 2022 - dl.acm.org
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 …

A review of PHR, EMR and EHR integration: A more personalized healthcare and public health policy

T Heart, O Ben-Assuli, I Shabtai - Health Policy and Technology, 2017 - Elsevier
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 …

Natural language processing for EHR-based computational phenotyping

Z Zeng, Y Deng, X Li, T Naumann… - IEEE/ACM transactions …, 2018 - ieeexplore.ieee.org
This article reviews recent advances in applying natural language processing (NLP) to
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

S Momtazmanesh, A Nowroozi, N Rezaei - Rheumatology and Therapy, 2022 - Springer
Investigation of the potential applications of artificial intelligence (AI), including machine
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

C Lin, T Miller, D Dligach, S Bethard… - Proceedings of the 2nd …, 2019 - aclanthology.org
Classic methods for clinical temporal relation extraction focus on relational candidates within
a sentence. On the other hand, break-through Bidirectional Encoder Representations from …