AI-Assisted Application for Pediatric Drug Dosing.

Andreea-Alexandra Mocrii, Oana-Sorina Chirila
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Abstract

Technology in the medical field is continuously advancing due to its numerous subdomains and the ever-growing medical needs of people. Information systems have become integral to doctors' daily routines in patient care, offering flexibility and support in repetitive tasks, thereby allowing more time for critical activities. This paper presents the implementation of a machine learning algorithm, leveraging natural language processing (NLP) and labeling techniques, to analyze medical leaflets from Romania. The aim is to assist pediatricians in determining appropriate treatment doses for children based on various parameters such as age, weight, and other significant factors.

儿科药物剂量的人工智能辅助应用。
医疗领域的技术因其众多的子领域和人们日益增长的医疗需求而不断进步。信息系统已成为医生日常病人护理工作中不可或缺的一部分,可为重复性工作提供灵活性和支持,从而让医生有更多时间从事关键活动。本文介绍了一种机器学习算法的实施情况,该算法利用自然语言处理(NLP)和标签技术,对罗马尼亚的医疗传单进行分析。其目的是协助儿科医生根据年龄、体重和其他重要因素等各种参数确定儿童的适当治疗剂量。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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