现代信息科技2024，Vol.8Issue(14)：190-193,198,5.DOI:10.19850/j.cnki.2096-4706.2024.14.038
基于数据挖掘的交叉学科教学模式探索与实践
Exploration and Practice of Interdisciplinary Teaching Mode Based on Data Mining
摘要
Abstract
In order to address the complex issues related to national economy and people's livelihood in the era of big data,in line with the strategic policy of education reform and healthy China,strengthening interdisciplinary construction and development has become an inevitable trend in technological development.The integration of new engineering and new medical disciplines can form a cross discipline background between medical and engineering.Teaching mode exploration and practical design are carried out to explore the hidden features in biological signals through professional courses related to artificial intelligence,achieving auxiliary diagnosis of diseases while providing reference for the research of biomarkers.This teaching model is committed to leveraging the leading role of digital science and technology,promoting medical engineering into the intelligent era,and cultivating more versatile talents with diverse backgrounds for the new era.关键词
学科融合/医工交叉/教学模式/人才培养Key words
discipline integration/medical-engineering cross/teaching mode/talent training分类
信息技术与安全科学引用本文复制引用
霍鑫,孟姣,鲁佳,张华,史维佳..基于数据挖掘的交叉学科教学模式探索与实践[J].现代信息科技,2024,8(14):190-193,198,5.基金项目
哈尔滨工业大学医工理交叉基金(IR2021214) （IR2021214）
黑龙江省高等教育教学改革项目(SJGY20200185) （SJGY20200185）
哈尔滨工业大学研究生教育教学改革研究项目(21HX0401) （21HX0401）
