Persian Intelligent Assistant in Healthcare Domain | ||
| Journal of Innovations in Computer Science and Engineering (JICSE) | ||
| دوره 3، شماره 1، شهریور 2025، صفحه 59-64 اصل مقاله (376.51 K) | ||
| نوع مقاله: Original Article | ||
| شناسه دیجیتال (DOI): 10.48308/jicse.2025.241738.1087 | ||
| نویسندگان | ||
| Sarina Chitsaz* 1؛ Mehrnoush Shamsfard2 | ||
| 1Faculty of Computer Science and Engineering Shahid Beheshti University Tehran, Iran | ||
| 2Faculty of Computer Science and Engineering Shahid Beheshti University Tehran, Iran | ||
| چکیده | ||
| Abstract—Nowadays, advances in technology and medical science have led to significant changes in the field of healthcare. Consequently, an effort has been taken to develop an intelligent health assistant in the Persian language, focusing on the emergency department. To achieve this goal, a labeled dataset was prepared. Subsequently, an intelligent assistant architecture was developed, utilizing slot filling and speech act classification for natural language understanding. A dialogue manager was designed to address negation in patient statements, resulting in the classification of triage patients. Evaluation revealed that the assistant's performance matched that of emergency staff in 83% of cases. Abstract—Nowadays, advances in technology and medical science have led to significant changes in the field of healthcare. Consequently, an effort has been taken to develop an intelligent health assistant in the Persian language, focusing on the emergency department. To achieve this goal, a labeled dataset was prepared. Subsequently, an intelligent assistant architecture was developed, utilizing slot filling and speech act classification for natural language understanding. A dialogue manager was designed to address negation in patient statements, resulting in the classification of triage patients. Evaluation revealed that the assistant's performance matched that of emergency staff in 83% of cases. | ||
| کلیدواژهها | ||
| Keywords— Intelligent Assistant؛ Natural language understanding؛ Speech act classification؛ Slot filling | ||
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آمار تعداد مشاهده مقاله: 128 تعداد دریافت فایل اصل مقاله: 118 |
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