52 citations · 182 across the 6 of their papers we have counts for
6 papers
Interpretable machine learning for high-dimensional trajectories of aging health
Spencer Farrell, Arnold Mitnitski, Kenneth Rockwood +1
We have built a computational model for individual aging trajectories of health and survival, which contains physical, functional, and biological variables, and is conditioned on d…
The potential for complex computational models of aging
Spencer Farrell, Garrett Stubbings, Kenneth Rockwood +2
The gradual accumulation of damage and dysregulation during the aging of living organisms can be quantified. Even so, the aging process is complex and has multiple interacting phys…
Probing the network structure of health deficits in human aging
Spencer G. Farrell, Arnold B. Mitnitski, Olga Theou +2
We confront a network model of human aging and mortality in which nodes represent health attributes that interact within a scale-free network topology, with observational data that…
Unifying ageing and frailty through complex dynamical networks
Andrew D. Rutenberg, Arnold B. Mitnitski, Spencer Farrell +1
To explore the mechanistic relationships between ageing, frailty and mortality, we developed a computational model in which possible health attributes are represented by the nodes…
Network model of human aging: frailty limits and information measures
Spencer Farrell, Arnold Mitnitski, Kenneth Rockwood +1
Aging is associated with the accumulation of damage throughout a persons life. Individual health can be assessed by the Frailty Index (FI). The FI is calculated simply as the propo…
A dynamical network model for age-related health deficits and mortality
Swadhin Taneja, Arnold B. Mitnitski, Kenneth Rockwood +1
How long people live depends on their health, and how it changes with age. Individual health can be tracked by the accumulation of age-related health deficits. The fraction of age-…