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Abstract

Techniques for patient population flow modeling are disclosed, where such modeling can provide insights for future trends among a patient population, e.g., to facilitate allocation of resources for the patient population or to inform treatment recommendations for patients. A flow model can be used on dialysis patient populations where the patients are grouped into a compartment according to a certain criterion (or given criteria), where each compartment corresponds to the number of patients in each group, and where the number of compartments can vary depending on the given criteria. A model can then be used to describe the transition rates between the different compartments, as well as influx and efflux within each compartment. Such a model can be used, by way of example, to investigate the impact of sodium-glucose co-transporter 2 (SGLT2) inhibitors on the population dynamics of end-stage renal disease patients.

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