A novel application of Disease State Fingerprint (DSF) algorithm is presented for holistic visualization of fall risk factors and identifying persons with falls ...
Abstract— Fall prevention is an important and complex multifactorial challenge, since one third of people over 65 years old fall at least once every year.
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This study showed that the DSF visualization is beneficial in inspection of an individual's significant fall risk factors, since people have problems in ...
A novel application of Disease State Fingerprint (DSF) algorithm is presented for holistic visualization of fall risk factors and identifying persons with falls ...
Fingerprint. Dive into the research topics of 'Disease state fingerprint for fall risk assessment'. Together they form a unique fingerprint.
STEADI consists of three core elements: Screen, Assess, and Intervene to reduce fall risk. The STEADI Algorithm for Fall Risk Screening, Assessment, and.
Missing: state fingerprint
To predict the risk of falls, Fall Risk Assessment (FRA) system has been newly developed to measure multi-systemic balance control among community-dwelling ...
Interpreting the DSI is made possible by its visual counterpart, the Disease State Fingerprint (DSF), which allows domain experts to gain a comprehensive view ...
Jul 22, 2016 · This is the first study where autopsy-validated cases of FTD and AD have been examined to assess the validity of the diagnostic reliability of ...
To model the AD state from complex and heterogeneous patient data, a statistical Disease State Index (DSI) method underlying the DSF has been developed. Using ...