Identification of possible determinants of inpatient mortality using Classification and Regression Tree (CART) analysis in hospitalized oldest old patients

Archives of Gerontology and Geriatrics

Volumn 56, Issue 1, 2013, Pages 188-191

  Butchart, Catherine ^a   Ismailoglu, Firat ^b   Myint, Phyo Kyaw ^c,d   Musonda, Patrick ^c   Lunt, Claire J ^a   Pai, Yogish ^d   Soiza, Roy L ^a   Rayward Smith, V J ^e  

^a WOODEND HOSPITAL   (United Kingdom)

^b MAASTRICHT UNIVERSITY   (Netherlands)

^c UNIVERSITY OF EAST ANGLIA   (United Kingdom)

^d NORFOLK AND NORWICH UNIVERSITY HOSPITAL   (United Kingdom)

^e UNIVERSITY OF EAST ANGLIA   (United Kingdom)

Author keywords

CART; Mortality; Oldest old

Indexed keywords

UREA;

AGED; ARTICLE; CLASSIFICATION AND REGRESSION TREE; DECISION TREE; FEMALE; HUMAN; HYPONATREMIA; LEUKOCYTE COUNT; MAJOR CLINICAL STUDY; MALE; MORTALITY; OXYGEN SATURATION; PATIENT IDENTIFICATION; PRIORITY JOURNAL; PROGNOSIS; RISK FACTOR; UNITED KINGDOM; UREA BLOOD LEVEL;

AGED, 80 AND OVER; FEMALE; GREAT BRITAIN; HOSPITAL MORTALITY; HUMANS; INPATIENTS; LEUKOCYTE COUNT; MALE; MODELS, STATISTICAL; OXYGEN; PROSPECTIVE STUDIES; SODIUM; STATISTICS AS TOPIC; UREA;

EID: 84869872617     PISSN: 01674943     EISSN: 18726976     Source Type: Journal    
DOI: 10.1016/j.archger.2012.07.005     Document Type: Article

References (18)

1. Abdul-Kareem S., Raviraja S., Awadh N.A., Kamaruzaman A., Kajindran A. Classification and regression tree in prediction of survival of AIDS patients Malaysian. Journal of Computer Science 2010, 23(3):153-165.
2. Breiman L., Freidman J.H., Olshen R.A., Stone C.J. Classification and regression trees 1984, Wadsworth.
3. Chua M., Hoyle G.E., Soiza R.L. Prognostic implications of hyponatremia in elderly hospitalized patients. Archives of Gerontology and Geriatrics 2007, 45(3):253-258.
4. Cios K.J., Moore G.W. Uniqueness of medical data mining. Artificial Intelligence in Medicine 2002, 26:1-24.
5. Debuse J.C.W., de la Iglesia B., Howard C.M., Rayward-Smith V.J. Building the KDD roadmap: a methodology for knowledge discovery. Industrial knowledge management 2000, 170-196. Springer-Verlag, London. R. Roy (Ed.).
6. Federal Interagency Forum on Aging-Related Statistics. (2009). Population: number of older Americans. Aging Stats Gov 2009. http://www.agingstats.gov/agingstatsdotnet/main_site/default.aspx.
7. Ismailoglu, F. (2010). A medical data mining application covering patients over 90 years old by using the CART algorithm. M.Sc. Thesis.
8. Lee S.J., Go A.S., Lindquist K., Bertenthal D., Covinsky K.E. Chronic conditions and mortality among the oldest old. American Journal of Public Health 2008, 98:1209-1214.
9. Lo-Ciganic W., Zqibor J.C., Ruppert K., Arena V.C., Stone R.A. Identifying type 1 and type 2 diabetic cases using administrative data: a tree-structured model. Journal of Diabetes Science and Technology 2011 May, 5(3):486-493.
10. Marshall R.J. The use of classification and regression trees in clinical epidemiology. Journal of Clinical Epidemiology 2001 June, 54(6):603-609.
11. Office for National Statistics UK. (2009 October). Life expectancy at birth, UK, from period life tables, 1980-82 to 2006-2008. Office for National Statistics, UK. (accessed 04.07.10). http://www.statistics.gov.uk/cci/nugget.asp%3Fid=168.
12. Pai Y., Butchart C., Lunt C.J., Musonda P., Gautham N., Soiza R.L., et al. Age, co-morbidity and poor mobility: no evidence of predicting in-patient death and acute hospital length of stay in the oldest old. QJM: Monthly Journal of the Association of Physicians 2011, 104:671-679.
13. Soiza R., Talbot H. Management of hyponatremia in older people: old threats and new opportunities. Therapeutic Advances in Drug Safety 2011, 2:9-17.
14. Tang T.I., Zheng G., Huang Y., Shu G., Wang P. A comparative study of medical data classification methods based on decision tree and system reconstruction analysis. IEMS 2005 June, 4(1):102-108.
15. Thatcher R. The demography of centenarians in England and Wales. Population Trends 2001, 13:139-156.
16. Tomassini C. The demographic characteristics of the oldest old in the United Kingdom. Population Trends 2005, 120:15-22.
17. Wu X., Kumar V., Quinlan J.R., Ghosh J., Yang Q., Motoda H., et al. Top 10 algorithms in data mining. Knowledge and Information Systems 2008, 14(1):1-37.
18. Zhao J., Barclay S., Farquhar M., Kinmonth A.L., Brayne C., Fleming J. The oldest old in the last year of life: population-based findings from Cambridge city over-75s cohort study participants aged 85 and older at death. Journal of the American Geriatrics Society 2010, 58:1-11.