Literature DB >> 5673664

Length of stay: prediction and explanation.

D H Gustafson.   

Abstract

Mesh:

Year:  1968        PMID: 5673664      PMCID: PMC1067452     

Source DB:  PubMed          Journal:  Health Serv Res        ISSN: 0017-9124            Impact factor:   3.402


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  4 in total

1.  Conditional probability program for diagnosis of thyroid function.

Authors:  J E OVERALL; J M WILLIAMS
Journal:  JAMA       Date:  1963-02-02       Impact factor: 56.272

2.  Evaluation of a computer program for diagnosis of congenital heart disease.

Authors:  A F TORONTO; L G VEASY; H R WARNER
Journal:  Prog Cardiovasc Dis       Date:  1963-01       Impact factor: 8.194

3.  Computer shows how patient stays vary.

Authors:  F T Kolouch
Journal:  Mod Hosp       Date:  1965-11

4.  Prediction of hospital length of stay.

Authors:  G H Robinson; L E Davis; R P Leifer
Journal:  Health Serv Res       Date:  1966       Impact factor: 3.402

  4 in total
  8 in total

1.  A social systems model of hospital utilization.

Authors:  J G Anderson
Journal:  Health Serv Res       Date:  1976       Impact factor: 3.402

2.  Forecasting patient census: commonalities in time series models.

Authors:  S D Wood
Journal:  Health Serv Res       Date:  1976       Impact factor: 3.402

3.  Three statistical models for estimating length of stay.

Authors:  S Selvin
Journal:  Health Serv Res       Date:  1977       Impact factor: 3.402

4.  Duration of hospitalization prior to surgery.

Authors:  L P McCorkle
Journal:  Health Serv Res       Date:  1970       Impact factor: 3.402

5.  Computer simulation of hospital patient scheduling systems.

Authors:  G H Robinson; P Wing; L E Davis
Journal:  Health Serv Res       Date:  1968       Impact factor: 3.402

6.  Scheduling a multiple operating room system: a simulation approach.

Authors:  S Barnoon; H Wolfe
Journal:  Health Serv Res       Date:  1968       Impact factor: 3.402

7.  Forecasting without historical data: Bayesian probability models utilizing expert opinions.

Authors:  J F Driver; F Alemi
Journal:  J Med Syst       Date:  1995-08       Impact factor: 4.460

8.  The effect of hospital characteristics and organizational factors on pre- and postoperative lengths of hospital stay.

Authors:  L J Cannoodt; J R Knickman
Journal:  Health Serv Res       Date:  1984-12       Impact factor: 3.402

  8 in total

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