Intelligent Database Systems Lab 國立雲林科技大學 National Yunlin University of Science and Technology Automated coding of diagnoses - three methods compared Presenter : Shao-Wei Cheng Authors : Pius Franz, Albrecht Zaiss, Stefan Schulz, Udo Hahn, Rüdiger Klar AMIA 2000

Intelligent Database Systems Lab N.Y.U.S.T. I. M. 2 Outline Motivation Objective Methodology Experiments Conclusion Personal Comments

Intelligent Database Systems Lab N.Y.U.S.T. I. M. Motivation In Germany, new legal requirements have raised the importance of the accurate encoding of admission and discharge diseases for in- and outpatients. 3 ？

Intelligent Database Systems Lab N.Y.U.S.T. I. M. 4 Objectives In response to emerging needs for computer-supported tools, this paper examined three methods for automated coding of German-language free-text diagnosis phrases. ？ √

Intelligent Database Systems Lab N.Y.U.S.T. I. M. Methodology SNOMED encoding ( MSVS and MSMS )  Preprocessing  Morphological Segmentation  SNOMED Indexing MedSearch retrieval  Ranking of Retrieval Terms  Exploitation of the SNOMED Hierarchy  Retrieval Algorithm 5 Stems, like gastr, hepat, diaphys, Prefixes, like a, de, in, ent, ver, anti, Infixes (e.g., o in gastr-o-intestinal) Derivational suffixes, such as io, ion, ung, Inflectional suffixes, like e, en, s, idis, ae, oris, Eponyms, digits and acronyms like AIDS, ECG, Stems  ad Prefixes  dec ( 十的意思 ) Inflectional suffixes  e  Decad ( 十個構成一組 )  Decade ( 十年 )

Intelligent Database Systems Lab N.Y.U.S.T. I. M. Experiments 6

Intelligent Database Systems Lab N.Y.U.S.T. I. M. 7 Conclusion A satisfactory quality of automated encoding of free-text diagnoses into ICD is not yet reached. From these results we deduce the following requirements for further work  With a comprehensive Thesaurus of Diagnoses, a better support of the clinical jargon will be given.  A mapping to synonymous expressions can already be done at the level of lexical morphemes.  The latter, provided a formal reconstruction of the ICD, would allow for substituting ICD disease encoding by SNOMED disease encoding.

Intelligent Database Systems Lab N.Y.U.S.T. I. M. 8 Personal Comments Advantage  … Drawback  … Application  Information retrieval.