메뉴 건너뛰기




Volumn 36, Issue 3, 2012, Pages 1873-1882

Intelligent analysis of acute bed overflow in a tertiary hospital in Singapore

Author keywords

Data mining; Decision tree; Hospital bed; Logistic regression; Overflow

Indexed keywords

ALGORITHM; ARTICLE; COMPUTATIONAL FLUID DYNAMICS; DATA MINING; FEMALE; HEALTH CARE POLICY; HOSPITAL; HOSPITAL BED; HOSPITAL BED CAPACITY; HOSPITAL DISCHARGE; HOSPITAL PATIENT; HUMAN; MALE; MULTIVARIATE ANALYSIS; SINGAPORE; TERTIARY HEALTH CARE;

EID: 84864029318     PISSN: 01485598     EISSN: 1573689X     Source Type: Journal    
DOI: 10.1007/s10916-010-9646-1     Document Type: Article
Times cited : (18)

References (29)
  • 2
    • 84864036268 scopus 로고
    • Partitioning customers into service groups
    • Whitt, W., Partitioning customers into service groups. Manag. Sci. 45:579-1592, 1991.
    • (1991) Manag. Sci. , vol.45 , pp. 579-1592
    • Whitt, W.1
  • 3
    • 0019563383 scopus 로고
    • Bed allocation in a public health care delivery system
    • Kao, E. P. C., and Tung, G. C., Bed allocation in a public health care delivery system. Manag. Sci. 27:507-521, 1981.
    • (1981) Manag. Sci. , vol.27 , pp. 507-521
    • Kao, E.P.C.1    Tung, G.C.2
  • 5
    • 85047697630 scopus 로고    scopus 로고
    • Modelling for the planning and management of bed capacities in hospitals
    • Harper, P. R., and Shahani, A. K., Modelling for the planning and management of bed capacities in hospitals. J. Oper. Res. Soc. 53:11-18, 2002. (Pubitemid 34452474)
    • (2002) Journal of the Operational Research Society , vol.53 , Issue.1 , pp. 11-18
    • Harper, P.R.1    Shahani, A.K.2
  • 6
    • 53349142400 scopus 로고    scopus 로고
    • A queuing-based decision support methodology to estimate hospital inpatient bed demand
    • Cochran, J., and Roche, K., A queuing-based decision support methodology to estimate hospital inpatient bed demand. J. Oper. Res. Soc. 59:1471-1482, 2007.
    • (2007) J. Oper. Res. Soc. , vol.59 , pp. 1471-1482
    • Cochran, J.1    Roche, K.2
  • 7
    • 67649746425 scopus 로고    scopus 로고
    • Allocation of hospital beds in an existing hospital
    • Teow, K. L., Tan, W. S. Allocation of hospital beds in an existing hospital. JOL;2;2. 2008.
    • (2008) JOL , vol.2 , pp. 2
    • Teow, K.L.1    Tan, W.S.2
  • 8
    • 84864059044 scopus 로고    scopus 로고
    • Using simulation to model and optimize acute care access in relation to hospital bed count and bed distribution
    • Wang, Y., Hare, W. L., Vertesi, L., Rutherford, A. R. Using simulation to model and optimize acute care access in relation to hospital bed count and bed distribution. Journal of Simulation 1-10. 2010.
    • (2010) Journal of Simulation , pp. 1-10
    • Wang, Y.1    Hare, W.L.2    Vertesi, L.3    Rutherford, A.R.4
  • 9
    • 0032173686 scopus 로고    scopus 로고
    • A simulation modelling approach to evaluating length of stay, occupancy, emptiness and bed blocking in a hospital geriatric department
    • El-Darzi, E., Vasilakis, C., Chaussalet, T., and Millard, P. H., A simulation modelling approach to evaluating length of stay, occupancy, emptiness and bed blocking in a hospital geriatric department. Health Care Manag. Sci. 1:143-149, 1998. (Pubitemid 128695610)
    • (1998) Health Care Management Science , vol.1 , Issue.2 , pp. 143-149
    • El-Darzi, E.1    Vasilakis, C.2    Chaussalet, T.3    Millard, P.H.4
  • 10
    • 0032173718 scopus 로고    scopus 로고
    • Decision making support in reshaping hospital medical services
    • Huang, X. M., Decision making support in reshaping hospital medical services. Health Care Manag. Sci. 1:165-173, 1998.
    • (1998) Health Care Manag. Sci. , vol.1 , pp. 165-173
    • Huang, X.M.1
  • 11
    • 29144447594 scopus 로고    scopus 로고
    • Modelling variability in hospital bed occupancy
    • DOI 10.1007/s10729-005-4142-8
    • Harrison, G. W., Shafer, A., and Mackay, M., Modelling variability in hospital bed occupancy. Health Care Manag. Sci. 8:325-334, 2005. (Pubitemid 41803807)
    • (2005) Health Care Management Science , vol.8 , Issue.4 , pp. 325-334
    • Harrison, G.W.1    Shafer, A.2    Macky, M.3
  • 13
    • 0022372686 scopus 로고
    • Simple linear regression in medical research
    • Godfrey, K., Simple linear regression in medical research. N. Engl. J. Med. 313(26):1629-1636, 1985. (Pubitemid 16155668)
    • (1985) New England Journal of Medicine , vol.313 , Issue.26 , pp. 1629-1636
    • Godfrey, K.1
  • 14
    • 50049089953 scopus 로고    scopus 로고
    • Empirical study on applications of data mining techniques in healthcare
    • Kaur, H., and Wasan, S. K., Empirical study on applications of data mining techniques in healthcare. J. Comput. Sci. 2(2):194-200, 2006.
    • (2006) J. Comput. Sci. , vol.2 , Issue.2 , pp. 194-200
    • Kaur, H.1    Wasan, S.K.2
  • 15
    • 33750941413 scopus 로고    scopus 로고
    • Using classification trees to assess low birth weight outcomes
    • DOI 10.1016/j.artmed.2006.03.008, PII S0933365706000583
    • Kitsantas, P., Hollander, M., and Li, L., Using classification trees to assess low birth weight outcomes. Artif. Intell. Med. 38:275-289, 2006. (Pubitemid 44739268)
    • (2006) Artificial Intelligence in Medicine , vol.38 , Issue.3 , pp. 275-289
    • Kitsantas, P.1    Hollander, M.2    Li, L.3
  • 16
    • 13444291932 scopus 로고    scopus 로고
    • A review and comparison of classification algorithms for medical decision making
    • DOI 10.1016/j.healthpol.2004.05.002
    • Harper, P. R. A review and comparison of classification algorithms for medical decision making. Health Policy, (71); 315-331, 2005. (Pubitemid 40203404)
    • (2005) Health Policy , vol.71 , Issue.3 , pp. 315-331
    • Harper, P.R.1
  • 18
    • 0034274591 scopus 로고    scopus 로고
    • A comparison of prediction accuracy, complexity and training time of thirty-three old and new classification algorithms
    • Lim, T., Loh, W., and Shih, Y., A comparison of prediction accuracy, complexity and training time of thirty-three old and new classification algorithms. Mach. Learn. 40:203-228, 2000.
    • (2000) Mach. Learn. , vol.40 , pp. 203-228
    • Lim, T.1    Loh, W.2    Shih, Y.3
  • 19
    • 0034746283 scopus 로고    scopus 로고
    • A comparison between neural networks and decision trees based on data from industrial radiographic testing
    • DOI 10.1016/S0167-8655(00)00098-2, PII S0167865500000982, Machine Learning and Data Mining in Pattern Recognition
    • Perner, P., Zscherpel, U., and Jacobsen, C., A comparison between neural networks and decision trees based on data from industrial radiographic testing. Pattern Recogn. Lett. 22:47-54, 2001. (Pubitemid 32161426)
    • (2001) Pattern Recognition Letters , vol.22 , Issue.1 , pp. 47-54
    • Perner, P.1    Zscherpel, U.2    Jacobsen, C.3
  • 20
    • 69249177910 scopus 로고    scopus 로고
    • Decision tree algorithm in deciding hospitalization for adult patients with dengue haemorrhagic fever in Singapore
    • Lee, V. J., Lye, D. C., Sun, Y., and Leo, Y. S., Decision tree algorithm in deciding hospitalization for adult patients with dengue haemorrhagic fever in Singapore. Trop. Med. Int. Health 14(9):1154-1159, 2009.
    • (2009) Trop. Med. Int. Health , vol.14 , Issue.9 , pp. 1154-1159
    • Lee, V.J.1    Lye, D.C.2    Sun, Y.3    Leo, Y.S.4
  • 21
    • 33751103658 scopus 로고    scopus 로고
    • Improving the cost-effectiveness of Chlamydia screening with targeted screening strategies
    • DOI 10.1057/palgrave.jors.2602134, PII 2602134
    • Evenden, D., Harper, P. R., Brailsford, S. C., and Harindra, V., Improving the cost effectiveness of Chlamydia screening with targeted screening strategies. J. Oper. Res. Soc. 57:1400-1412, 2006. (Pubitemid 44771077)
    • (2006) Journal of the Operational Research Society , vol.57 , Issue.12 , pp. 1400-1412
    • Evenden, D.1    Harper, P.R.2    Brailsford, S.C.3    Harindra, V.4
  • 22
    • 47149105528 scopus 로고    scopus 로고
    • The application of artificial neural networks and decision tree model in predicting post-operative complication for gastric cancer patients
    • Chien, C. W., Lee, Y. C., Ma, T., Lee, T. S., Lin, Y. C., Wang, W., and Lee, W. J., The application of artificial neural networks and decision tree model in predicting post-operative complication for gastric cancer patients. Hepatogastroenterology 55(84):1140-1145, 2008. (Pubitemid 351976004)
    • (2008) Hepato-Gastroenterology , vol.55 , Issue.84 , pp. 1140-1145
    • Chien, C.-W.1    Lee, Y.-C.2    Ma, T.3    Lee, T.-S.4    Lin, Y.-C.5    Wang, W.6    Lee, W.-J.7
  • 23
    • 37249089420 scopus 로고    scopus 로고
    • Predictive data mining in clinical medicine: Current issues and guidelines
    • DOI 10.1016/j.ijmedinf.2006.11.006, PII S1386505606002747
    • Bellazzi, R., and Zupan, B., Predictive data mining in clinical medicine: Current issues and guidelines. Int. J. Med. Inform 77 (2):81-97, 2008. (Pubitemid 350267316)
    • (2008) International Journal of Medical Informatics , vol.77 , Issue.2 , pp. 81-97
    • Bellazzi, R.1    Zupan, B.2
  • 24
    • 0031658067 scopus 로고    scopus 로고
    • Classification trees. A possible method for iso-resource grouping in intensive care
    • DOI 10.1046/j.1365-2044.1998.t01-1-00564.x
    • Ridley, S. A., Jones, S., Shahani, A., Brampton, W., Nielsen, M., and Rowan, K., Classification trees: A possible method for isoresource grouping in intensive care. Anaesthesia 53:833-40, 1998. (Pubitemid 28431588)
    • (1998) Anaesthesia , vol.53 , Issue.9 , pp. 833-840
    • Ridley, S.1    Jones, S.2    Shahani, A.3    Brampton, W.4    Nielsen, M.5    Rowan, K.6
  • 25
    • 0036550136 scopus 로고    scopus 로고
    • Data mining to support simulation modeling of patient flow in hospitals
    • DOI 10.1023/A:1014814111524
    • Isken, M. W., and Rajagopalan, B., Data mining to support simulation modeling of patient flow in hospitals. J. Med. Syst. 26 (2):179-197, 2002. (Pubitemid 38420767)
    • (2002) Journal of Medical Systems , vol.26 , Issue.2 , pp. 179-197
    • Isken, M.W.1    Rajagopalan, B.2
  • 26
    • 67249084927 scopus 로고    scopus 로고
    • Length of stay based grouping and classification methodology for modelling patient flow
    • Abbi, R., El-Darzi, E., Vasilakis, C., and Millard, P., Length of stay based grouping and classification methodology for modelling patient flow. JOL 2:2, 2008.
    • (2008) JOL , vol.2 , pp. 2
    • Abbi, R.1    El-Darzi, E.2    Vasilakis, C.3    Millard, P.4
  • 27
    • 84864035748 scopus 로고    scopus 로고
    • Discovering blood donor arrival patterns using data mining: A method to investigate service quality at blood centers
    • Published on line: 18 May
    • Testik, M. C., Ozkaya, B. Y., Aksu, S., Ozcebe, O. I. Discovering blood donor arrival patterns using data mining: A method to investigate service quality at blood centers. J. Med Syst. Published on line: 18 May 2010.
    • (2010) J. Med Syst.
    • Testik, M.C.1    Ozkaya, B.Y.2    Aksu, S.3    Ozcebe, O.I.4
  • 29
    • 0029290411 scopus 로고
    • Principles on the benefits of manufacturing process flexibility
    • Jordan, W. C., and Graves, S. C., Principles on the benefits of manufacturing process flexibility. Manag. Sci. 41(4):577-594, 1995.
    • (1995) Manag. Sci. , vol.41 , Issue.4 , pp. 577-594
    • Jordan, W.C.1    Graves, S.C.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.