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In order to guarantee the handoff dropping probability, we propose to statistically predict user mobility based on the mobility history of users.
As part of the study, participants complete a written questionnaire describing their residential mobility history.
The multivariate analysis included the potential risk factors that were significantly associated with mortality (p < 0.05; age, occupation, social relations, behavioral adjustment to heat wave, mobility, history of disease, living conditions).
In the current study we found that low BMD was associated with older age, longstanding disease, syndesmophyte formation, impaired back mobility, history of coxitis, use of glucocorticoids and laboratory signs of inflammation.
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Since we are interested in reconstructing mobility histories without large gaps, we select the longest period that has at least one sample in 90% of the 15-minutes time-bins for each participant.
Intrinsic participant factors (age, mobility status, history of falls, diagnoses, cognition, presence of depressive symptoms, discharge destination, assistance with ADL) were then entered into univariate logistic regression analyses as independent variables, with the location and time of falls in the six months after discharge being the dependent variable.
The assessment consists of a general medical and drug history, a fall and mobility history and physical examination.
Then, from a complete mobility information, contacts history can be easily extracted.
According to the agency I lead, the International Organization for Migration, today's migrants number close to one billion -- roughly one of every seven of us -- an unprecedented degree of mobility in the history of our species.
Information on pre-injury mobility status, medical history, smoking, alcohol intake, allergies, medication and care requirements will be collected.
Commonly identified falls risk factors in the hospital setting include impaired cognition, impaired mobility, prior falls history, medications, incontinence, and advanced age [ 7].
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