Unravelling cradle-to-grave disease trajectories from multilayer comorbidity networks
Patients become increasingly multimorbid with age leading to decreased quality of life, increased need for hospitalizations, health care utilization, mortality, and care costs. However, the typical population-scale disease trajectories along which patients become multimorbid are not yet fully understood.
We use a unique dataset containing 45 million records of almost all inpatient stays from 2003 to 2014 in Austria to investigate these disease trajectories. Our multilayer comorbidity network approach shows how to identify critical events that may contribute to determining a patient’s future life-course disease trajectory.
The talk will take place in person on Friday, December 16, at 2:30 pm @ CSH Salon
If you would like to attend, please email to email@example.com.