Persian Intelligent Assistant in Healthcare Domain

Chitsaz, Sarina; Shamsfard, Mehrnoush

doi:10.48308/jicse.2025.241738.1087

Persian Intelligent Assistant in Healthcare Domain

Document Type : Original Article

Authors

Sarina Chitsaz

Mehrnoush Shamsfard

Faculty of Computer Science and Engineering Shahid Beheshti University Tehran, Iran

https://doi.org/10.48308/jicse.2025.241738.1087

Abstract

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.

Keywords

Keywords— Intelligent Assistant

Natural language understanding

Speech act classification

Slot filling

Subjects