Predicting Functional Status for Aging
This is who we are
We analyzed Activities of Daily Living (ADLs) of 296,051 residents in the US Veterans Affairs nursing homes called Community Living Centers (CLCs) between 1/1/2000 and 9/10/2012. Data were used to classify patients as having feeding (F), bathing (B), grooming (G), dressing (D), bowel continence (L), bladder continence (U), toilet use (T), transfers (S), and walking disabilities (W). In the data, total patients’ visits resulted in 1,820,714 assessments which were used for predictions after excluding the cases with one assessment.
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Our Team
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Our Services
Source of Data
We analyzed Activities of Daily Living (ADLs) of 296,051 residents in the US Veterans Affairs nursing homes called Community Living Centers (CLCs) between 1/1/2000 and 9/10/2012. Data were used to classify patients as having feeding (F), bathing (B), grooming (G), dressing (D), bowel continence (L), bladder continence (U), toilet use (T), transfers (S), and walking disabilities (W). In the data, total patients’ visits resulted in 1,820,714 assessments which were used for predictions after excluding the cases with one assessment.
What We Do?
- This service is free.
- We collect data on older adults’ age, gender, and current daily living activities. We use these data to predict most likely scenarios (progression, recoveries, and survival) within the next year.
- The purpose of these predictions is to provide you with scenario-based planning and to make you aware of upcoming likely events.
- The clinicians and the residents can use this information to prevent unfavorable events (such as progression) or promote the favorable ones (such as recovery).
What We Don’t Do?
- We do not collect personal information that identifies the residents (e.g., name, phone, email, social security number, etc.).
- We do not sell data entered into the system.
- We do not contact you, for any reason, in any manner, unless you contact us.
Contact Us
Welcome To AgeABILITY
Predicting Functional Status for Aging