  We work on the task of automatically designing a treatment plan from the
findings included in the medical certificate written by the dentist. To develop
an artificial intelligence system that deals with free-form certificates
written by dentists, we annotate the findings and utilized the natural language
processing approach. As a result of the experiment using 990 certificates,
0.585 F1-score was achieved for the task of extracting orthodontic problems
from findings, and 0.584 correlation coefficient with the human ranking was
achieved for the treatment prioritization task.

Computation and Language;Artificial Intelligence