[HTML][HTML] A SNOMED CT mapping guideline for the local terms used to document clinical findings and procedures in electronic medical records in South Korea …

S Sung, HA Park, H Jung, H Kang - JMIR Medical Informatics, 2023 - medinform.jmir.org
Background: South Korea joined SNOMED International as the 39th member country. To
ensure semantic interoperability, South Korea introduced SNOMED CT (Systemized …

Natural Language Processing (NLP) Based Innovations for Smart Healthcare Applications in Healthcare 4.0

N Tyagi, B Bhushan - Enabling Technologies for Effective Planning and …, 2023 - Springer
Technology and computation have changed the backdrop of various aspects of our fast-
paced lives. Healthcare is one such aspect that has been affected by this change and faces …

Sample Size in Natural Language Processing within Healthcare Research

J Chaturvedi, D Shamsutdinova, F Zimmer… - arXiv preprint arXiv …, 2023 - arxiv.org
Sample size calculation is an essential step in most data-based disciplines. Large enough
samples ensure representativeness of the population and determine the precision of …

A Systematic Review of NLP Applications in Clinical Healthcare: Advancement and Challenges

R Garg, A Gupta - International Conference on Advances in Data-driven …, 2023 - Springer
This systematic literature review examines the advancements and challenges of natural
language processing applications in clinical healthcare. Authors provide an overview of NLP …

Current Challenges in the Application of Algorithms in Multi-institutional Clinical Settings

K Kades - 2023 - archiv.ub.uni-heidelberg.de
The Coronavirus disease pandemic has highlighted the importance of artificial intelligence
in multi-institutional clinical settings. Particularly in situations where the healthcare system is …

[PDF][PDF] Ascertaining Pain in Mental Health Records: Combining Empirical and Knowledge-Based Methods for Clinical Modelling of Electronic Health Record Text

J Chaturvedi - 2023 - kclpure.kcl.ac.uk
In recent years, state-of-the-art clinical Natural Language Processing (NLP), as in other
domains, has been dominated by neural networks and other statistical models. In contrast to …

[PDF][PDF] Erlangung der Doktorwürde

K Kades - core.ac.uk
Zusammenfassung Die Coronavirus-Pandemie hat die Bedeutung von künstlicher
Intelligenz in multizentrischen klinischen Settings besonders deutlich gemacht. Vor allem in …

[PDF][PDF] A Tough Nut to Crack: Challenges in Natural Language Processing

P Parameswaran - 2023 - ourarchive.otago.ac.nz
Natural language processing (NLP) is the ability for computers to understand human
language. Despite extensive research in NLP, some challenging problems still exist. In this …