DPSCREEN: Dynamic Personalized Screening
نویسندگان
چکیده
Screening in Operations Research and Statistics • Partially Observable Markov Decision Process POMDP (Ayer et.al.) • Bayesian Optimal Design (Rizopoulos et.al.) • Pros: Principled search for optimal policies • Cons: Markov/Semi-Markov, Stationary Screening in Medical Literature • Stochastic simulation based (Frazie et.al. ) • Pros: No assumptions on disease models • Cons: Not personalized, Compare a fixed set of policies chosen by experts This work No assumptions on disease models! Principled search for optimal policies! MODEL AND PROBLEM FORMULATION
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