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 …
Clinical text classification research trends: systematic literature review and open issues
The pervasive use of electronic health databases has increased the accessibility of free-text
clinical reports for supplementary use. Several text classification approaches, such as …
clinical reports for supplementary use. Several text classification approaches, such as …
[HTML][HTML] Text mining of cancer-related information: review of current status and future directions
Purpose This paper reviews the research literature on text mining (TM) with the aim to find
out (1) which cancer domains have been the subject of TM efforts,(2) which knowledge …
out (1) which cancer domains have been the subject of TM efforts,(2) which knowledge …
[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 …
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 …
[HTML][HTML] Artificial intelligence learning semantics via external resources for classifying diagnosis codes in discharge notes
C Lin, CJ Hsu, YS Lou, SJ Yeh, CC Lee, SL Su… - Journal of medical …, 2017 - jmir.org
Background Automated disease code classification using free-text medical information is
important for public health surveillance. However, traditional natural language processing …
important for public health surveillance. However, traditional natural language processing …
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 …
Enhancing timeliness of drug overdose mortality surveillance: A machine learning approach
Background Timely data is key to effective public health responses to epidemics. Drug
overdose deaths are identified in surveillance systems through ICD-10 codes present on …
overdose deaths are identified in surveillance systems through ICD-10 codes present on …
Using textual cause-of-death data to study drug poisoning deaths
EM Ossiander - American journal of epidemiology, 2014 - academic.oup.com
Death certificate data are often used to study the epidemiology of poisoning deaths, but the
International Classification of Diseases (ICD) codes used to tabulate death data do not …
International Classification of Diseases (ICD) codes used to tabulate death data do not …
Extracting cancer mortality statistics from death certificates: A hybrid machine learning and rule-based approach for common and rare cancers
Objective Death certificates are an invaluable source of cancer mortality statistics. However,
this value can only be realised if accurate, quantitative data can be extracted from …
this value can only be realised if accurate, quantitative data can be extracted from …