Generation of digital patients for the simulation of tuberculosis with UISS-TB.
Miguel A JuárezMarzio PennisiGiulia RussoDimitrios KiagiasCristina CurreliMarco VicecontiFrancesco PappalardoPublished in: BMC bioinformatics (2020)
We propose a sequential approach to sampling from the joint features population distribution in order to create a cohort of virtual patients with some specific characteristics, resembling the recruitment process for the target clinical trial, which then can be used for augmenting the information from the physical the trial to help reduce its size and duration.
Keyphrases
- clinical trial
- end stage renal disease
- mycobacterium tuberculosis
- chronic kidney disease
- study protocol
- phase ii
- newly diagnosed
- ejection fraction
- phase iii
- physical activity
- peritoneal dialysis
- mental health
- emergency department
- randomized controlled trial
- hiv aids
- pulmonary tuberculosis
- social media
- patient reported outcomes
- antiretroviral therapy