رویکردی نو بر آموزش کودکان

رویکردی نو بر آموزش کودکان

مطالعه ای بر کاربردهای هوش مصنوعی در برنامه سلامت خانواده (مدیریت چاقی کودکان)

نوع مقاله : مقاله مروری

نویسنده
کارشناس ارشد مدیریت آموزشی، دانشگاه آزاد اسلامی، واحد تنکابن، مازندران، ایران، sadeghi.mahsa1799@yahoo.com
چکیده
زمینه و هدف: چاقی دوران کودکی به عنوان یک چالش مهم بهداشت عمومی و سلامت خانوده با پیامدهای بلندمدت که اغلب تا بزرگسالی گسترش می‌یابد و استعداد ابتلا به بیماری‌های مزمن را افزایش می‌دهد، ظاهر شده است. هدف از این بررسی، تبیین کاربردهای هوش مصنوعی (AI) در پیشگیری و درمان چاقی کودکان، با تأکید بر پتانسیل آن برای تکمیل و تقویت روش‌های مدیریت سنتی است.

روش پژوهش: ما یک بررسی جامع از ادبیات موجود را برای درک ادغام یادگیری ماشین و سایر تکنیک‌های هوش مصنوعی در استراتژی‌های مدیریت چاقی کودکان انجام دادیم.

یافته‌ها: یافته‌های مطالعات متعدد نشان می‌دهد که نقش هوش مصنوعی در مقابله با چاقی کودکان به وضوح قابل مشاهده است. به ویژه، تکنیک‌های یادگیری ماشین کارآمدی قابل‌توجهی در تقویت رویکردهای درمانی و پیشگیرانه فعلی نشان داده‌اند.

نتیجه‌گیری: تلاقی هوش مصنوعی با شیوه های مرسوم مدیریت چاقی، یک رویکرد جدید و امیدوارکننده، برای تقویت مداخلات هدف قرار دادن چاقی کودکان ارائه می دهد. این بررسی ظرفیت تحول‌آفرین هوش مصنوعی را برجسته می‌کند و از این طریق از ادامه تحقیقات و نوآوری در این حوزه به سرعت در حال تکامل حمایت می‌کند.
کلیدواژه‌ها

موضوعات


عنوان مقاله English

A study on the applications of artificial intelligence in the family health program (childhood obesity management)

نویسنده English

Mahsa Sadeghi Garmaroudi
Master of educational management, Islamic Azad University, Tonkabon Branch, Mazandaran, Iran, sadeghi.mahsa1799@yahoo.com
چکیده English

Background and Aim: Childhood obesity has emerged as an important public health and family health challenge with long-term consequences that often extend into adulthood and increase susceptibility to chronic diseases. The purpose of this review is to explain the applications of artificial intelligence (AI) in the prevention and treatment of childhood obesity, emphasizing its potential to supplement and enhance traditional management methods.

Methods: We conducted a comprehensive review of the existing literature to understand the integration of machine learning and other artificial intelligence techniques in childhood obesity management strategies.

Results: The findings of numerous studies show that the role of artificial intelligence in dealing with childhood obesity is clearly visible. In particular, machine learning techniques have shown significant efficacy in augmenting current therapeutic and preventive approaches.

Conclusion: The intersection of artificial intelligence with conventional obesity management practices offers a promising new approach to enhance interventions targeting childhood obesity. This review highlights the transformative capacity of artificial intelligence, thereby supporting continued research and innovation in this rapidly evolving field.

کلیدواژه‌ها English

Artificial Intelligence
Health
Family
Obesity
Children
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  • تاریخ دریافت 17 فروردین 1403
  • تاریخ بازنگری 23 خرداد 1403
  • تاریخ پذیرش 01 تیر 1403
  • تاریخ اولین انتشار 01 تیر 1403
  • تاریخ انتشار 01 شهریور 1403