医工融合背景下机器学习课程教学改革探索  

Machine Learning Course Teaching Reform under the Background of Medical Industry Integration

作　　者：尹雪妍 钱有程 YIN Xueyan;QIAN Youcheng(Nanjing University of Chinese Medicine,Nanjing Jiangsu,210023,China;Nanjing Audit University,Nanjing Jiangsu,211815,China)

机构地区：[1]南京中医药大学,江苏南京210023 [2]南京审计大学,江苏南京211815

出　　处：《创新创业理论研究与实践》2024年第23期1-3,29,共4页The Theory and Practice of Innovation and Enterpreneurship

基　　金：2023年度国家自然科学基金青年基金项目“面向交通预测的小样本深度网络模型研究”(62306152)

摘　　要：随着医学与工程领域的融合,机器学习在医学中的应用日益广泛。然而,当前医学院校机器学习课程存在诸多问题,如教学内容与实际需求脱节、传统教学方法不灵活、学生缺乏实践机会等。为此,该文提出一系列改革方案,包括聚焦医学应用场景、引入跨学科合作、创新教学方法、加强实践环节等,通过改革实践,学生学习积极性提高,学习成效显著,跨学科合作效果明显,就业竞争力增强。该文旨在为医学院校机器学习课程教学改革提供借鉴,推动医工融合背景下的教育发展。With the integration of medicine and engineering fields,machine learning is increasingly widely used in medicine.However,there are many problems in the current machine learning courses in medical colleges,such as the disconnection between the teaching content and the actual demand,the inflexibility of traditional teaching methods,and the lack of practical opportunities for students.To this end,a series of reform plans are proposed,including focusing on medical application scenarios,introducing interdisciplinary cooperation,innovating teaching methods,and strengthening practical links.Through the reform and practice,the learning enthusiasm of student is improved,the learning effect is remarkable,the interdisciplinary cooperation effect is obvious,and the employment competitiveness is enhanced.This paper aims to provide reference for the teaching reform of machine learning courses in medical colleges and promote the development of education under the background of medical industry integration.

关 键 词：医工融合 机器学习课程 教学改革 实践能力 创新能力 跨学科 

分 类 号：G642[文化科学—高等教育学]