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
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.
