Establishment Decision Rules for Turnover of Nursing Staff - Applying Rough Set Theory

被引：0

作者：

Fang, Chung-Hsiung ^{[1
]}

Chang, Sue-Ting ^{[1
]}

Chen, Guan-Li ^{[1
]}

机构：

[1] Natl Taiwan Normal Univ, Grad Inst Ind Technol Educ, Taipei, Taiwan

来源：

2009 INTERNATIONAL CONFERENCE ON E-BUSINESS AND INFORMATION SYSTEM SECURITY, VOLS 1 AND 2 | 2009年

关键词：

Decision Rules; Rough Set Theory; natural language; MODEL; CARE;

D O I：

暂无

中图分类号：

F [经济];

学科分类号：

02 ;

摘要：

The research investigated the rules relevant with leaving reasons and personal characteristic variables of nursing staff by Rough Set Theory (RST). RST can discover the important facts hidden in the data and describe them with natural language. That is it can describe the information provided by researchers in a broad sense and delete the redundant part of original data for the decision rules setting. It is expected the research can establish rules related with leaving reasons and personal characteristics variables of nursing staff. The study conducted analysis on 458 persons' data that include six attributes - age, marriage status, education, seniority, service department and dimission reasons to propose concerned suggestions and comments based on the research result as reference for Hospital A and other hospitals as well as relevant academic institutions.

引用

页码：1271 / 1275

页数：5

共 19 条

[1] Nurses' reports on hospital care in five countries [J].

Aiken, LH ;

Clarke, SP ;

Sloane, DM ;

Sochalski, JA ;

Busse, R ;

Clarke, H ;

Giovannetti, P ;

Hunt, J ;

Rafferty, AM ;

Shamian, J .

HEALTH AFFAIRS, 2001, 20 (03) :43-53

[2]

[Anonymous], ADV DEMPSTER SHAFER

[3]

Bluedorn A.C., 1982, HUM RELAT, V35, P35

[4] NURSING TURNOVER - LITERATURE-REVIEW AND METHODOLOGICAL CRITIQUE [J].

CAVANAGH, SJ .

JOURNAL OF ADVANCED NURSING, 1989, 14 (07) :587-596

[5]

Dubois D., 1992, HDB APPL ADV ROUGH S, P203

[6]

Gorrell B J, 1994, J Nurs Educ, V33, P101

[7]

JEFFREY S, 1989, J BUS RES, V18, P305

[8]

*JOINT COMM ACCR H, 2004, PUBL POL IN NURS STA

[9]

Khatri N., 2001, HUM RESOUR MANAG J, V11, P54, DOI [10.1111/j.1748-8583.2001.tb00032.x, DOI 10.1111/J.1748-8583.2001.TB00032.X]

[10]

Krusinska E., 1992, Appl. Stochastic Models and Data Analysis, P43

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