A method for identifying confidence level of the extracted results from medical narrative reports: A case study focus on the patients with liver cancer
Date Issued
2012
Date
2012
Author(s)
Wu, Ya-Lin
Abstract
Textual medical records constitute a rich source of information about diseases, medical procedures and treatment results. In our previous work, we implemented the information extraction (IE) system for extracting the desired information from liver cancer patients’ textual reports. These extracted results produced by IE system are used for supporting the development of recurrence predictive model. After information was extracted by the IE system, it is important to prove these extracted results are reliable. However, we are not sure about the correctness of these extracted results without checking manually by the domain experts.
In the study, two of our team members had reviewed all extracted information. According to their reviews, the precision of the IE system can be analyzed. But, checking the correctness of all extracted results manually would be a time-consuming and labor-intensive task. Therefore, the aim of this study is to provide an efficient way for facilitating the process of checking all extracted results. We designed the validation system for predicting the correctness of each extracted result. According to the prediction of the validation system, the reviewers can efficiently check the smaller part of extracted results predicted as low confidence extracted information by the validation system and correct them; instead of checking all extracted information. In this way, it can highly promote the efficiency of the future reviewing process.
Subjects
Textual medical records
Information extraction system
Validation system
SDGs
Type
thesis
File(s)![Thumbnail Image]()
Loading...
Name
ntu-101-R98945039-1.pdf
Size
23.32 KB
Format
Adobe PDF
Checksum
(MD5):df78be486509d37c1f11435a31531294