Structure-Aware Optimization of Decision Diagrams for Health Guidance via Integer Programming
Nanako Shimaoka, Naoyuki Kamiyama, Shinji Hotta, Sayuri Kohmura, Yuta Kurume, Hiroko Suzuki, Akihiro Inomata, Eigo Segawa

TL;DR
This paper introduces a structure-aware optimization approach for decision diagrams in health guidance, formulated as an integer program, and demonstrates its practical usefulness through numerical examples.
Contribution
It presents a novel integer programming formulation for optimizing decision diagrams in health guidance, considering their structure.
Findings
Effective optimization of decision diagrams demonstrated
Numerical examples show practical usefulness
Potential for improved health guidance strategies
Abstract
In this paper, we consider a structure-aware optimization problem for decision diagrams used for health guidance. In particular, we focus on decision diagrams that decide to whom public sectors suggest consulting a medical worker. Furthermore, these diagrams decide which notification method should be used for each target person. In this paper, we formulate this problem as an integer program. Then we evaluate its practical usefulness through numerical examples.
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Taxonomy
TopicsConstraint Satisfaction and Optimization · Scheduling and Timetabling Solutions · Bayesian Modeling and Causal Inference
