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.
@article{arxiv.1905.13601,
title = {Using Natural Language Processing to Develop an Automated Orthodontic Diagnostic System},
author = {Tomoyuki Kajiwara and Chihiro Tanikawa and Yuujin Shimizu and Chenhui Chu and Takashi Yamashiro and Hajime Nagahara},
journal= {arXiv preprint arXiv:1905.13601},
year = {2019}
}