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Using Natural Language Processing to Develop an Automated Orthodontic Diagnostic System
lib:f42b467141a6bd0f (v1.0.0)
Authors: Tomoyuki Kajiwara,Chihiro Tanikawa,Yuujin Shimizu,Chenhui Chu,Takashi Yamashiro,Hajime Nagahara
ArXiv: 1905.13601
Document: PDF DOI
Abstract URL: https://arxiv.org/abs/1905.13601v1
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.
ArXiv: 1905.13601
Document: PDF DOI
Abstract URL: https://arxiv.org/abs/1905.13601v1
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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