Machine learning and features selection for semi-automatic ICD-9-CM encoding

2nd Louhi Workshop on Text and Data Mining of Health Documents, Louhi 2010 - Proceedings

Volumn , Issue , 2010, Pages 84-89

  Medori, Julia ^a   Fairon, Cédrick ^a  

^a UNIVERSITÉ CATHOLIQUE DE LOUVAIN   (Belgium)

Author keywords

[No Author keywords available]

Indexed keywords

ENCODING (SYMBOLS); LEARNING ALGORITHMS; MACHINE LEARNING; NATURAL LANGUAGE PROCESSING SYSTEMS;

BASELINE METHODS; BRUSSELS; EXTRACTION OF INFORMATION; FEATURES SELECTION; MACHINE LEARNING METHODS; NAIVE BAYES; SEMI-AUTOMATICS;

SIGNAL ENCODING;

EID: 84894097635     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper

References (16)

1. Ananiadou S., McNaught J.: Introduction to Text Mining in Biology. In Ananiadou S., McNaught J. (eds.) Text Mining for Biology and Biomedicine, pp 1-12, Artech House Books (2006).
2. Aronson A. R.: MetaMap: Mapping Text to the UMLS Metathesaurus (2006).
3. Ceusters W., Michel C., Penson D., Mauclet E.: Semi-automated encoding of diagnoses and medical procedures combining ICD-9-CM with computational-linguistic tools. Ann Med Milit Belg;8(2):53-58 (1994).
4. Deville G., Herbigniaux E., Mousel P., Thienpont G., Wéry M.: ANTHEM: Advanced Natural Language Interface for Multilingual Text Generation in Healthcare (1996).
5. Farkas R., Szarvas G. Automatic construction of rule-based ICD-9-CM coding systems', BMC Bioinformatics, 9 (2008).
6. Friedman C., Shagina L., Lussier Y.A., Hripcsak G.: Automated encoding of clinical documents based on natural language processing. J Am Med Inform Assoc. 2004 Sep-Oct;11(5):392-402. Epub 2004 Jun 7 (2004).
7. Larkey L. S, Croft W. B. Automatic assignment of icd9 codes to discharge summaries. Technical report, University of Massachusetts at Amherst, Amherst, MA (1995).
8. Medori J. From Free Text to ICD: Development of a Coding Help, In: Proceedings of Louhi 08, Turku, 3-4 sept 2008 (2008).
9. Pakhomov S. V. S., Buntrock J. D., Chute C. G.: Automating the Assignment of Diagnosis Codes to Patient Encounters Using Example-based and Machine Learning Techniques (2006).
10. Paumier S. De la reconnaissance de formes linguistiques à l'analyse syntaxique. PhD thesis. Université de Marne-laVallée (2003).
11. Practice Management Information Corporation. ICD-9-CM Hospital Edition, International Classification of Diseases 9th Revision, Clinical Modification (Color-Coded, Volumes 1-3, Thumb-Indexed) (2005).
12. Pereira S., Névéol A., Massari P., Joubert M., Darmoni S.J.: Construction of a semi-automated ICD-10 coding help system to optimize medical and economic coding. Proc. MIE. (2006).
13. Pestian J. P., Brew C., Matykiewicz P.M., Hovermale D.J., Johnson N., Cohen K.B., Duch W.: A shared task involving multi-label classification of clinical free text. Proceedings of ACL BioNLP; 2007 Jun; Prague (2007).
14. Sager N., Lyman M., Nhán N., Tick L.: Medical language processing: Applications to patient data representation and automatic encoding. Methods of Information in Medicine, (34):140 - 146 (1995).
15. Witten I.H., Frank E. Data Mining: Practical Machine Learning Tools and Techniques. San Francisco: Morgan Kaufmann Publishers. 2nd edition. 560 pp. ISBN 0-12-088407-0 (2005).
16. Zweigenbaum P. and Consortium MENELAS: MENELAS: coding and information retrieval from natural language patient discharge summaries. In Laires M. F., Ladeira M. J., Christensen J. P., (eds.), Advances in Health Telematics, pages 82-89. IOS Press, Amsterdam, 1995. MENELAS Final Edited Progress Report (1995).