Applications of natural language processing in medicine: A systematic review of approaches, platforms, and challenges

سال انتشار: 1404
نوع سند: مقاله کنفرانسی
زبان: انگلیسی
مشاهده: 15

فایل این مقاله در 13 صفحه با فرمت PDF قابل دریافت می باشد

استخراج به نرم افزارهای پژوهشی:

لینک ثابت به این مقاله:

شناسه ملی سند علمی:

ICPCONF11_122

تاریخ نمایه سازی: 1 آذر 1404

چکیده مقاله:

With the expansion of clinical data and the increasing need for analyzing unstructured text information in the health field, NLP has emerged as a key tool in medicine. This technology plays an important role in extracting information, analyzing patient sentiment, supporting clinical decision-making, and developing smart health tools. In this review, we comprehensively review prominent studies in the field of NLP in medicine. The results of this review show that although NLP has a vast potential to transform health care, there are challenges such as the need for quality data, interdisciplinary interaction, and technical limitations in its development.

نویسندگان

Marziyeh Aghaali

PhD student in department of Computer Engineering, Islamic Azad University, Qom

Ahmad Sharif

Faculty member of department of Computer engineering, Qo.C., Islamic Azad University, Qom, Iran