| Summary: | 碩士 === 國立臺灣大學 === 資訊網路與多媒體研究所 === 101 === Textual medical records contain valuable information about diseases, medical procedures and treatment results. In our previous work, we implemented the information extraction system for extracting the desired information from liver cancer patients’ textual reports. These extracted results produced by information extraction system are used for supporting the development of recurrence predictive model. However, these narrative reports are made by human manually. Therefore, improving the correctness of medical reports is very important for further research.
In the study, we already implemented the information extraction system which can extract medical information for liver cancer recurrence predicting model. But, detecting and correcting the misspelling words of all medical reports 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 and correcting the misspelling words. We implemented the error handling system for correcting the misspelled words of each medical report. After the preprocessing procedure executed by the error handling system, the information extraction system can extract out those information which cannot be found due to the misspelling words. In this way, it can highly promote the accuracy of the medical extracted results.
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