Falling in the elderly: Do statistical models matter for performance criteria of fall prediction? Results from two large population-based studies

European Journal of Internal Medicine

Volumn 27, Issue , 2016, Pages 48-56

  Kabeshova, Anastasiia ^a,b   Launay, Cyrille P ^a   Gromov, Vasilii A ^b   Fantino, Bruno ^a   Levinoff, Elise J ^c   Allali, Gilles ^d,e   Beauchet, Olivier ^c,f,g  

^a ANGERS UNIVERSITY HOSPITAL   (France)

^b OLES HONCHAR DNIPRO NATIONAL UNIVERSITY   (Ukraine)

^c MCGILL UNIVERSITY   (Canada)

^d ALBERT EINSTEIN COLLEGE OF MEDICINE   (United States)

^e GENEVA UNIVERSITY HOSPITALS   (Switzerland)

^f MCGILL UNIVERSITY   (Canada)

^g MCGILL UNIVERSITY   (Canada)

Author keywords

Abbreviations ACC Accuracy; AI Artificial intelligence; ANFIS Adaptive neuro fuzzy interference system; ANNS Artificial neural networks; ANOVA One way analysis of variance; AUROC Area under receiver operating characteristic curve; CHAID Chi squared automatic interaction detector; MICE Multivariate imputation via chained equations; MLP Multilayer perceptron; NPV Negative predictive value; PCPA Pr vention des chutes personnes g es; PCR4 Pr vention des chutes r seau 4; PPV Positive predictive value

Indexed keywords

AGED; DATA BASE; DIAGNOSIS; DIAGNOSTIC TEST ACCURACY STUDY; HUMAN; MAJOR CLINICAL STUDY; MODEL; PREDICTION; SCREENING; SENSITIVITY AND SPECIFICITY; STATISTICAL MODEL; COMPARATIVE STUDY; CROSS-SECTIONAL STUDY; FALLING; FEMALE; FRANCE; GERIATRIC ASSESSMENT; MALE; PROCEDURES; PROGNOSIS; PROSPECTIVE STUDY; RETROSPECTIVE STUDY; RISK ASSESSMENT; STATISTICS AND NUMERICAL DATA; VERY ELDERLY;

ACCIDENTAL FALLS; AGED; AGED, 80 AND OVER; CROSS-SECTIONAL STUDIES; FEMALE; FRANCE; GERIATRIC ASSESSMENT; HUMANS; MALE; MODELS, STATISTICAL; PROGNOSIS; PROSPECTIVE STUDIES; RETROSPECTIVE STUDIES; RISK ASSESSMENT; SENSITIVITY AND SPECIFICITY;

EID: 84953352011     PISSN: 09536205     EISSN: 18790828     Source Type: Journal    
DOI: 10.1016/j.ejim.2015.11.019     Document Type: Article

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