Check the preview of 2nd version of this platform being developed by the open MLCommons taskforce on automation and reproducibility as a free, open-source and technology-agnostic on-prem platform.

Using Natural Language Processing to Develop an Automated Orthodontic Diagnostic System

lib:f42b467141a6bd0f (v1.0.0)
Share
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.

Relevant initiatives  

Related knowledge about this paper Reproduced results (crowd-benchmarking and competitions) Artifact and reproducibility checklists Common formats for research projects and shared artifacts Reproducibility initiatives

Comments  

Please log in to add your comments!
If you notice any inapropriate content that should not be here, please report us as soon as possible and we will try to remove it within 48 hours!