Combining logistic regression with classification and regression tree to predict quality of care in a home health nursing data set

Studies in Health Technology and Informatics

Volumn 122, Issue , 2006, Pages 891-

  Guo, Huey Ming ^a   Shyu, Yea Ing Lotus ^b   Chang, Her Kun ^b  

^a YUANPEI UNIVERSITY   (Taiwan)

^b CHANG GUNG UNIVERSITY   (Taiwan)

Author keywords

CART; Data Mining; Home Care; Quality of Care

Indexed keywords

CLASSIFICATION (OF INFORMATION); DATA MINING; FORECASTING; FORESTRY; NURSING; PATIENT TREATMENT; REGRESSION ANALYSIS; TREES (MATHEMATICS);

CART; CASE MANAGEMENT; CLASSIFICATION AND REGRESSION TREE; HOME CARE; LOGISTIC REGRESSIONS; QUALITY OF CARE; REGRESSION TREES; RESEARCH METHODS;

HOME HEALTH CARE;

ARTICLE; FORECASTING; HEALTH CARE QUALITY; HOME CARE; HUMAN; STATISTICAL MODEL; TAIWAN;

FORECASTING; HOME CARE SERVICES; HUMANS; LOGISTIC MODELS; QUALITY OF HEALTH CARE; TAIWAN;

EID: 39049189126     PISSN: 09269630     EISSN: 18798365     Source Type: Book Series    
DOI: None     Document Type: Conference Paper

References (3)

1. Breiman, L., Friedman, J.H., Olshen, R.A., &Stone, C.J.Classification and regression trees.Belmont, CA, 1984
2. Girman, C.J., Chandler, J.M., Zimmerman, S.I., Edwards, N., &Aminzadeh, F.An algorithm had moderate sensitivity for identifying older women in nursing homes at risk of fracture.Evidence-Based Nursing, 2003;6(2):58.
3. Rantz, M.J., &Connolly, R.Measuring nursing care quality and using large data sets in non-acute care settings: State of the science.Nursing Outlook, 2004;52(1):23-37.