| Summary: | 碩士 === 國立臺灣大學 === 醫學工程學研究所 === 89 === In hospitals, a large amount of patient data is produced each day. It has become an important issue for medical professions to extract crucial clinical information from the stack of medical data. But due to the reason that patient data is stored in narrative form, it is difficult to access information from them.
In this study, we develop a natural language processor, which can transform the narrative data into structured information, which can be further used in decision support, data mining, and biomedical statistics.
The natural language processing system successfully processed 7590 medical reports. The extracted clinical information is further used in a web-based patient record system. Moreover, clinical distributing is counted based on these extracted information.
|
|---|
