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
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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.
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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