Automatic ICD-10 classification of cancers from free-text death certificates

International Journal of Medical Informatics
Bevan KoopmanNarelle Grayson

Abstract

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 certificates--an aim hampered by both the volume and variable nature of certificates written in natural language. This paper proposes an automatic classification system for identifying cancer related causes of death from death certificates. Detailed features, including terms, n-grams and SNOMED CT concepts were extracted from a collection of 447,336 death certificates. These features were used to train Support Vector Machine classifiers (one classifier for each cancer type). The classifiers were deployed in a cascaded architecture: the first level identified the presence of cancer (i.e., binary cancer/nocancer) and the second level identified the type of cancer (according to the ICD-10 classification system). A held-out test set was used to evaluate the effectiveness of the classifiers according to precision, recall and F-measure. In addition, detailed feature analysis was performed to reveal the characteristics of a successful cancer classification model. The system was highly effective at identifying cancer as the underlying cause of death (F-measure 0.9...Continue Reading

References

Jul 3, 2010·Journal of the American Medical Informatics Association : JAMIA·Anthony N NguyenShoni Colquist
Oct 19, 2010·Cancer Epidemiology·Robert R GermanUNKNOWN Accuracy of Cancer Mortality Study Group
Aug 4, 2011·Scandinavian Journal of Public Health·Marianne Lundkjær Gjerstorff
May 10, 2012·BMC Medical Informatics and Decision Making·Kailah DavisJulio C Facelli
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Jun 8, 2013·The Australasian Medical Journal·Luke ButtNarelle Grayson
Jul 11, 2014·International Journal of Medical Informatics·Irena SpasićGoran Nenadić

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Citations

Apr 5, 2019·BMC Medical Informatics and Decision Making·Markus KreuzthalerStefan Schulz
Sep 13, 2019·Journal of Healthcare Engineering·Zhengru ShenMarco Spruit
Sep 26, 2020·Artificial Intelligence in Medicine·Chengjie Mou, Jiangtao Ren
Mar 1, 2020·Health Systems·José Carlos FerrãoDaniel Gartner
Jun 22, 2021·Journal of the American Medical Informatics Association : JAMIA·Eunsuk Chang, Javed Mostafa
Aug 1, 2021·BMC Medical Informatics and Decision Making·Weidong BaoShaowu Zhang
Aug 15, 2021·International Journal of Medical Informatics·Xiaolin DiaoWei Zhao

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