The use of SNOMED CT, 2013-2020: a literature review
Objective This article reviews recent literature on the use of SNOMED CT as an extension of
Lee et al's 2014 review on the same topic. The Lee et al's article covered literature published …
Lee et al's 2014 review on the same topic. The Lee et al's article covered literature published …
[HTML][HTML] Use of the systematized nomenclature of medicine clinical terms (SNOMED CT) for processing free text in health care: systematic scoping review
Background: Interoperability and secondary use of data is a challenge in health care.
Specifically, the reuse of clinical free text remains an unresolved problem. The Systematized …
Specifically, the reuse of clinical free text remains an unresolved problem. The Systematized …
N-sanitization: A semantic privacy-preserving framework for unstructured medical datasets
The introduction and rapid growth of the Internet of Medical Things (IoMT), a subset of the
Internet of Things (IoT) in the medical and healthcare systems, has brought numerous …
Internet of Things (IoT) in the medical and healthcare systems, has brought numerous …
Symbolic rule-based classification of lung cancer stages from free-text pathology reports
Objective To classify automatically lung tumor–node–metastases (TNM) cancer stages from
free-text pathology reports using symbolic rule-based classification. Design By exploiting …
free-text pathology reports using symbolic rule-based classification. Design By exploiting …
Automatic ICD-10 classification of cancers from free-text death certificates
Objective Death certificates provide an invaluable source for cancer mortality statistics;
however, this value can only be realised if accurate, quantitative data can be extracted from …
however, this value can only be realised if accurate, quantitative data can be extracted from …
Active learning: a step towards automating medical concept extraction
Objective This paper presents an automatic, active learning-based system for the extraction
of medical concepts from clinical free-text reports. Specifically,(1) the contribution of active …
of medical concepts from clinical free-text reports. Specifically,(1) the contribution of active …
[HTML][HTML] Computer-assisted diagnostic coding: effectiveness of an NLP-based approach using SNOMED CT to ICD-10 mappings
AN Nguyen, D Truran, M Kemp… - AMIA Annual …, 2018 - ncbi.nlm.nih.gov
Abstract Computer-assisted (diagnostic) coding (CAC) aims to improve the operational
productivity and accuracy of clinical coders. The level of accuracy, especially for a wide …
productivity and accuracy of clinical coders. The level of accuracy, especially for a wide …
Automatic classification of diseases from free-text death certificates for real-time surveillance
Background Death certificates provide an invaluable source for mortality statistics which can
be used for surveillance and early warnings of increases in disease activity and to support …
be used for surveillance and early warnings of increases in disease activity and to support …
[HTML][HTML] Automatic classification of cancer pathology reports: a systematic review
Pathology reports primarily consist of unstructured free text and thus the clinical information
contained in the reports is not trivial to access or query. Multiple natural language …
contained in the reports is not trivial to access or query. Multiple natural language …
[HTML][HTML] Improving search over Electronic Health Records using UMLS-based query expansion through random walks
Objective Most of the information in Electronic Health Records (EHRs) is represented in free
textual form. Practitioners searching EHRs need to phrase their queries carefully, as the …
textual form. Practitioners searching EHRs need to phrase their queries carefully, as the …