Using Natural Language Processing to Develop an Automated Orthodontic Diagnostic System
May 31, 2019 ยท Declared Dead ยท ๐ arXiv.org
"No code URL or promise found in abstract"
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Authors
Tomoyuki Kajiwara, Chihiro Tanikawa, Yuujin Shimizu, Chenhui Chu, Takashi Yamashiro, Hajime Nagahara
arXiv ID
1905.13601
Category
cs.CL: Computation & Language
Cross-listed
cs.AI
Citations
4
Venue
arXiv.org
Last Checked
5 months ago
Abstract
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.
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