چاپ صفحه |  صفحه نخست سامانه |  چکیده مقاله |  نویسندگان |  دانلود مقاله | دانشگاه علوم پزشکی تبریز |
| Background: In the domain of clinical documents, all diseases are classified at templates by the world health organization and specific codes have been assigned to them. The goal of this study was automatic coding of cancer free texts based on International Classification of Diseases for Oncology (ICD-O-3) and evaluation of results. Methods: In this research, the preparation and development of one initial sample of automatic coding module on pathology reports open texts existing in PubMed’s cancer titles database is performed for exploitation of the information based on the texts related to cancer to coding the information based on ICD-O-3. After developing the algorithm for exploiting cancer phrases and the codes based on ICD-O-3 and converting them to code in programming environment, the required data for implementation and algorithm testing were performed and finally the obtained results were evaluated. Results: Automatic coding prepares the possibility of coding and listing information inside the text and also coding the existing titles of neoplasms at descriptive text of pathology reports and with an accuracy of approximately 70%. This study explained a simple stepwise approach to coding issues in medicine. Conclusions: It performed effectively on free texts and could be used as a decision support module in Health Information Systems to reduce coding errors. |
| نویسنده | نفر چندم مقاله |
|---|---|
| نازیلا مفتیان | دوم |
| پیمان رضایی | اول |
| مهسا دهقانی | سوم |
| طاها صمدسلطانی | چهارم |
| نام فایل | تاریخ درج فایل | اندازه فایل | دانلود |
|---|---|---|---|
| bhs-05-01-13667 (1).pdf | 1397/08/13 | 770638 | دانلود |
