most citedHealth improvement framework for planning actionable treatment process using surrogate Bayesian model

12 citations · 12 across the 1 of their papers we have counts for

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1 paper

cs.LG2020★ 12 cited

Health improvement framework for planning actionable treatment process using surrogate Bayesian model

Kazuki Nakamura, Ryosuke Kojima, Eiichiro Uchino +4

Clinical decision making regarding treatments based on personal characteristics leads to effective health improvements. Machine learning (ML) has been the primary concern of diagno…