Predicting the Risk of Mobility Difficulty in Older Women With Screening Nomograms
Author(s) -
Paulo Chaves,
Elizabeth S. Garrett,
Linda P. Fried
Publication year - 2000
Publication title -
archives of internal medicine
Language(s) - English
Resource type - Journals
eISSN - 1538-3679
pISSN - 0003-9926
DOI - 10.1001/archinte.160.16.2525
Subject(s) - nomogram , receiver operating characteristic , logistic regression , medicine , population , gerontology , physical medicine and rehabilitation , computer science , machine learning , environmental health
A major obstacle to screening for early mobility disability (ie, mobility difficulty), a major public health concern, is the lack of a method that identifies those who are at high risk. The goal of this study was to develop easy-to-use clinical nomograms for estimation of the probability of incident mobility difficulty.
Accelerating Research
Robert Robinson Avenue,
Oxford Science Park, Oxford
OX4 4GP, United Kingdom
Address
John Eccles HouseRobert Robinson Avenue,
Oxford Science Park, Oxford
OX4 4GP, United Kingdom