Usefulness of imputation for the analysis of incomplete otoneurologic data

International Journal of Medical Informatics

Volumn 58-59, Issue , 2000, Pages 235-242

  Laurikkala, Jorma ^a   Kentala, Erna ^b   Juhola, Martti ^a   Pyykkö, Ilmari ^c   Lammi, Seppo ^d  

^a PO Box 607 FIN 33014 ^*  (Finland)

^b HELSINKI UNIVERSITY CENTRAL HOSPITAL   (Finland)

^c KAROLINSKA UNIVERSITY HOSPITAL   (Sweden)

^d UNIVERSITY OF EASTERN FINLAND   (Finland)

Author keywords

Discriminant analysis; Imputation; Missing data; Otoneurology

Indexed keywords

DATA REDUCTION; DATABASE SYSTEMS; HOSPITAL DATA PROCESSING; NEUROLOGY; RANDOM PROCESSES; REGRESSION ANALYSIS;

DISCRIMINANT ANALYSIS; EXPECTATION MAXIMIZATION IMPUTATION METHODS; IMPUTATION; INCOMPLETE OTONEUROLOGIC DATA; MULTIVARIATE STATISTICAL ANALYSIS;

MEDICAL COMPUTING;

ANALYTIC METHOD; ARTICLE; DATA ANALYSIS; DATA BASE; INFORMATION PROCESSING; METHODOLOGY; OTORHINOLARYNGOLOGY; PRIORITY JOURNAL;

DATA COLLECTION; DISCRIMINANT ANALYSIS; EAR DISEASES; HUMANS; INFORMATION STORAGE AND RETRIEVAL; MEDICAL RECORDS SYSTEMS, COMPUTERIZED; REPRODUCIBILITY OF RESULTS;

EID: 18544400559     PISSN: 13865056     EISSN: None     Source Type: Journal    
DOI: 10.1016/S1386-5056(00)00090-3     Document Type: Article

References (12)

1. Little R.J.A., Rubin D.B. Statistical Analysis With Missing Data. 1987;Wiley, New York.
2. Hill M.A. SPSS Missing Value Analysis 7.5. 1997;SPSS Inc, Chicago.
3. Schafer J.L. Analysis of Incomplete Multivariate Data. 1997;Chapman & Hall, London.
4. Kentala E., Pyykkö I., Auramo Y., Juhola M. Otoneurological expert system. Ann. Otol. Rhinol. Laryngol. 105:1996;654-658.
5. Kentala E., Pyykkö I., Auramo Y., Juhola M. Database for vertigo. Otolaryngol. Head. Neck. Surg. 112:1995;383-390.
6. Kentala E. Characteristics of six otologic diseases involving vertigo. Am. J. Otol. 17:1996;883-892.
7. Kentala E., Laurikkala J., Pyykkö I., Juhola M. Discovering diagnostic rules from a neurotologic database with genetic algorithms. Ann. Otol. Rhinol. Laryngol. 108:1999;948-954.
8. Kentala E., Viikki K., Pyykkö I., Juhola M. Production of diagnostic rules from a neurotologic database with decision trees. Ann. Otol. Rhinol. Laryngol. 109:2000;170-176.
9. Kubat M., Holte R.C., Matwin S. Machine learning for the detection of oil spills in satellite radar images. Mach. Learn. 30:1998;195-215.
10. SPSS Base 9.0 Applications Guide, SPSS Inc., Chicago, 1999.
11. Laurikkala J., Juhola M. A genetic-based machine learning system to discover the diagnostic rules for female urinary incontinence. Comput. Programs Biomed. 55:1998;217-228.
12. Quinlan R.J. C4.5: Programs for Machine Learning. 1993;Morgan Kaufmann, San Mateo.