Analysis of patient flows via data mining

Studies in Health Technology and Informatics

Volumn 84, Issue , 2001, Pages 1379-1383

  Pagnoni, Anastasia ^a   Parisi, Salvatore ^a   Lombardo, Sisto ^b  

^a UNIVERSITY OF MILAN   (Italy)

^b Sago Health Research Institute   (Italy)

Author keywords

Data Mining; Patient Flows; Rough Sets

Indexed keywords

CLUSTERING ALGORITHMS; EXTRACTION; HOSPITALS; ROUGH SET THEORY;

DATA-MINING TOOLS; PATIENT FLOW; RULE EXTRACTION ALGORITHMS;

DATA MINING;

ALGORITHM; ARTICLE; DECISION SUPPORT SYSTEM; EMERGENCY HEALTH SERVICE; HOSPITAL DISCHARGE; HUMAN; INFORMATION RETRIEVAL; METHODOLOGY; ORGANIZATION AND MANAGEMENT; STATISTICAL ANALYSIS;

ALGORITHMS; DATA INTERPRETATION, STATISTICAL; DECISION SUPPORT TECHNIQUES; EMERGENCY SERVICE, HOSPITAL; HUMANS; INFORMATION STORAGE AND RETRIEVAL; PATIENT DISCHARGE;

EID: 71849104169     PISSN: 09269630     EISSN: 18798365     Source Type: Book Series    
DOI: 10.3233/978-1-60750-928-8-1379     Document Type: Conference Paper

References (6)

1. Berry M.J.A., Linoff G., Data Mining Techniques, John Wiley & Sons, Inc., New York, 1997
2. Stefanowski J., Rough Set Theory and Discriminant Methods as Tools for Analysis of Information Systems. A Comparative Study, Foundations of Computing and Decision Sciences, 17, 2, 1992, 81-98
3. Stefanowski J., Slowinski K., Rough Sets s a Tool for Studying Attribute Dependencies in the Urinary Stones Treatment Data Set, in: Lin, T. Y. & Cercone, N., eds., Rough Sets and Data Mining, Kluwer Academic Publishers, Boston, Massachussets, 1996
4. Pawlak Z., Rough Sets: Theoretical Aspects and Reasoning about Data, Kluwer Academic Press, Dodrecht, The Netherlands, 1991
5. Ohrn A., Discernibility and Rough Sets in Medicine: Tools and Applications, PhD thesis, Department of Computer and Information Science, Norwegian University of Science and Technology (NTNU), Trondheim, Norway. NTNU report 1999:133, 1.239 pages
6. X. Hu and N. Cercone, Mining knowledge rules from databases: A rough set approach, Proccedingd of the Int. Conf. on Data Engineering, New Orleans, Louisiana, 1996, 96-105