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Volumn 26, Issue 2, 2002, Pages 179-197

Data mining to support simulation modeling of patient flow in hospitals

Author keywords

Data mining; Hospital capacity planning; K means clustering; Patient flow models; Simulation modeling

Indexed keywords

ARTICLE; COMPUTER SIMULATION; DATA ANALYSIS; HEALTH CARE PLANNING; HOSPITAL BED UTILIZATION; HOSPITAL UTILIZATION; HUMAN; MODEL; PATIENT FLOW MODEL; RESOURCE ALLOCATION; ALGORITHM; CLASSIFICATION; CLUSTER ANALYSIS; DECISION SUPPORT SYSTEM; DIAGNOSIS RELATED GROUP; FEMALE; HOSPITAL BED CAPACITY; HOSPITAL DEPARTMENT; HOSPITAL PATIENT; INFORMATION PROCESSING; LENGTH OF STAY; PREGNANCY; STATISTICAL MODEL; UNITED STATES; UTILIZATION REVIEW;

EID: 0036550136     PISSN: 01485598     EISSN: None     Source Type: Journal    
DOI: 10.1023/A:1014814111524     Document Type: Article
Times cited : (51)

References (27)
  • 2
    • 0024143916 scopus 로고
    • Productivity and staffing of hospital units with uncertainty in the demand for service
    • Hancock, W. M., and Chan, T., Productivity and staffing of hospital units with uncertainty in the demand for service. IIE Trans. 20:346-353, 1988.
    • (1988) IIE Trans. , vol.20 , pp. 346-353
    • Hancock, W.M.1    Chan, T.2
  • 4
    • 0026280242 scopus 로고
    • Continuous personnel scheduling algorithms: A literature review
    • Bradley, D. I. and Martin, J. B., Continuous personnel scheduling algorithms: A literature review. J. Soc. Health Syst. 2:8-23, 1991.
    • (1991) J. Soc. Health Syst. , vol.2 , pp. 8-23
    • Bradley, D.I.1    Martin, J.B.2
  • 5
    • 0018962608 scopus 로고
    • Analysis of capacity decisions for progressive patient care hospital facilities
    • Cohen, M. A., Hershey, J. C., and Weiss, E. N., Analysis of capacity decisions for progressive patient care hospital facilities. Health Serv. Res. 15(2):145-160, 1980.
    • (1980) Health Serv. Res. , vol.15 , Issue.2 , pp. 145-160
    • Cohen, M.A.1    Hershey, J.C.2    Weiss, E.N.3
  • 6
    • 0026444430 scopus 로고
    • Design and validation of a critical care simulation model
    • Lowery, J. C., and Martin, J. B., Design and validation of a critical care simulation model, J. Soc. Health Sys. 3:15-36, 1992.
    • (1992) J. Soc. Health Sys. , vol.3 , pp. 15-36
    • Lowery, J.C.1    Martin, J.B.2
  • 7
    • 0020494739 scopus 로고
    • An iterative estimation and validation procedure for specification of semi-Markov models with application to hospital patient flow
    • Weiss, E. N., Cohen, M. A., and Hershey, J. C., An iterative estimation and validation procedure for specification of semi-Markov models with application to hospital patient flow. Oper. Res. 30(6): 1082-1104, 1982.
    • (1982) Oper. Res. , vol.30 , Issue.6 , pp. 1082-1104
    • Weiss, E.N.1    Cohen, M.A.2    Hershey, J.C.3
  • 8
    • 1842429049 scopus 로고    scopus 로고
    • Department of Defense Contract DASW01-95-0028
    • Health Services Engineering, Inc. Obstetrics Simulation Study, Department of Defense Contract DASW01-95-0028, 1997.
    • (1997) Obstetrics Simulation Study
  • 9
    • 0019563383 scopus 로고
    • Bed allocation in a public health care delivery system
    • Kao, E. P. C., and Tung, G. G., Bed allocation in a public health care delivery system. Manag. Sci. 27(5):507-520, 1981.
    • (1981) Manag. Sci. , vol.27 , Issue.5 , pp. 507-520
    • Kao, E.P.C.1    Tung, G.G.2
  • 10
    • 0005181220 scopus 로고
    • Distinctive patient facilities concept helps predict patient bed needs
    • Blumberg, M. S., Distinctive patient facilities concept helps predict patient bed needs. Mod. Hosp. 97:75-81, 1961.
    • (1961) Mod. Hosp. , vol.97 , pp. 75-81
    • Blumberg, M.S.1
  • 11
    • 0022160640 scopus 로고
    • A simulation model for bed allocation to hospital inpatient departments
    • Vassilacopoulos, G., A simulation model for bed allocation to hospital inpatient departments. Simulation 45:233-241, 1985.
    • (1985) Simulation , vol.45 , pp. 233-241
    • Vassilacopoulos, G.1
  • 12
    • 1842429050 scopus 로고    scopus 로고
    • Computer simulation in management engineering
    • Larson, J. A. (eds.), Health care Information and Management Systems Society, Chicago
    • Isken, M. W., Computer simulation in management engineering. In Larson, J. A. (eds.), Management Engineering, Health care Information and Management Systems Society, Chicago, pp. 179-196, 2001.
    • (2001) Management Engineering , pp. 179-196
    • Isken, M.W.1
  • 13
    • 0002970556 scopus 로고
    • Diagnosis related groups: Understanding hospital performance
    • Fetter, R. B., Diagnosis related groups: Understanding hospital performance. Interfaces 21(1):6-26, 1991.
    • (1991) Interfaces , vol.21 , Issue.1 , pp. 6-26
    • Fetter, R.B.1
  • 16
    • 84986946302 scopus 로고
    • Hospital resources planning: Concepts, feasibility, and framework
    • Roth, A. V., and Van Dierdonck, R., Hospital resources planning: Concepts, feasibility, and framework. Product. Oper. Manag. 4(1):2-29, 1995.
    • (1995) Product. Oper. Manag. , vol.4 , Issue.1 , pp. 2-29
    • Roth, A.V.1    Van Dierdonck, R.2
  • 18
    • 21844522039 scopus 로고
    • A study of the classification capabilities of neural networks using unsupervised learning: A comparison with K-means clustering
    • Balakrishnan, P. V., Cooper, M. C., Jacob, V. S., and Lewis, P. A., A study of the classification capabilities of neural networks using unsupervised learning: A comparison with K-means clustering. Psychometrika 59(4):509-525, 1994.
    • (1994) Psychometrika , vol.59 , Issue.4 , pp. 509-525
    • Balakrishnan, P.V.1    Cooper, M.C.2    Jacob, V.S.3    Lewis, P.A.4
  • 19
    • 0011141514 scopus 로고    scopus 로고
    • Evaluating a clustering solution: An application in the tourism market
    • Cardoso, M. G. M. S., Themido, I. H., and Pires, F. M., Evaluating a clustering solution: An application in the tourism market. Intell. Data Anal. 3:491-510, 1999.
    • (1999) Intell. Data Anal. , vol.3 , pp. 491-510
    • Cardoso, M.G.M.S.1    Themido, I.H.2    Pires, F.M.3
  • 20
    • 1842429051 scopus 로고    scopus 로고
    • Lludeman, L. C., Document Retrieved April 4, 2001. from http://www.ece.nmsu.edu/lludeman/video/chp6pr.html.
    • Lludeman, L.C.1
  • 21
    • 1842586047 scopus 로고    scopus 로고
    • How I do choose the optimal number of clusters in cluster analysis?
    • Iacobucci, D. (ed.). Methodological and statistical concerns of the experimental behavioral researcher.
    • Bradlow, E., and Hutchinson, W., How I do choose the optimal number of clusters in cluster analysis? In Iacobucci, D. (ed.). Methodological and statistical concerns of the experimental behavioral researcher. J. Consum. Psychol. 2001.
    • (2001) J. Consum. Psychol.
    • Bradlow, E.1    Hutchinson, W.2
  • 22
    • 1842481474 scopus 로고    scopus 로고
    • How I do choose the optimal number of clusters in cluster analysis?
    • Iacobucci, D. (ed.), Methodological and statistical concerns of the experimental behavioral researcher
    • Arabie, P., How I do choose the optimal number of clusters in cluster analysis? In Iacobucci, D. (ed.), Methodological and statistical concerns of the experimental behavioral researcher. J. Consum. Psychol. 2001.
    • (2001) J. Consum. Psychol.
    • Arabie, P.1
  • 23
    • 1842481476 scopus 로고    scopus 로고
    • How I do choose the optimal number of clusters in cluster analysis?
    • Iacobucci, D. (ed.), Methodological and statistical concerns of the experimental behavioral researcher
    • Koehly, L., How I do choose the optimal number of clusters in cluster analysis? In Iacobucci, D. (ed.), Methodological and statistical concerns of the experimental behavioral researcher. J. Consum. Psychol. 2001.
    • (2001) J. Consum. Psychol.
    • Koehly, L.1
  • 24
    • 0011637498 scopus 로고    scopus 로고
    • Methods and measures that profile heavy users
    • Wansink, B., and Park, S. B., Methods and measures that profile heavy users. J. Advert. Res. July-Aug.:61-72, 2000.
    • (2000) J. Advert. Res. , vol.JULY-AUG , pp. 61-72
    • Wansink, B.1    Park, S.B.2
  • 26
    • 0003219068 scopus 로고    scopus 로고
    • Efficient clustering of very large document collections
    • Grossman, R., Kamath, C., Kumar V., and Namburu, R. (eds.), Kluwer, Dordrecht
    • Dhillon, I. S., Fan, J., and Guan, Y., Efficient clustering of very large document collections. In Grossman, R., Kamath, C., Kumar V., and Namburu, R. (eds.), Data Mining for Scientific and Engineering Applications, Kluwer, Dordrecht, 2001.
    • (2001) Data Mining for Scientific and Engineering Applications
    • Dhillon, I.S.1    Fan, J.2    Guan, Y.3


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.