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

作　　者：霍鑫 孟姣 鲁佳[1] 张华[1] 史维佳[2] HUO Xin;MENG Jiao;LU Jia;ZHANG Hua;SHI Weijia(School of Astronautics,Harbin Institute of Technology,Harbin 150001,China;School of Instrumentation Science and Engineering,Harbin Institute of Technology,Harbin 150001,China)

机构地区：[1]哈尔滨工业大学航天学院,黑龙江哈尔滨150001 [2]哈尔滨工业大学仪器科学与工程学院,黑龙江哈尔滨150001

出　　处：《现代信息科技》2024年第14期190-193,198,共5页Modern Information Technology

基　　金：哈尔滨工业大学医工理交叉基金(IR2021214);哈尔滨工业大学研究生教育教学改革研究项目(21HX0401);黑龙江省高等教育教学改革项目(SJGY20200185)。

摘　　要：为解决大数据时代国计民生相关的复杂问题,顺应教育改革、健康中国的战略方针,加强交叉学科建设和发展已经成为科技发展的必然趋势。新工科融合新医科能够形成医工交叉的学科背景,对此进行教学模式探索与实践设计,通过人工智能相关的专业课程挖掘生物信号中的隐藏特征,实现对疾病进行辅助诊断的同时为生物标志物的研究提供参考。该教学模式致力于发挥数字科学技术的引领作用,推动医学工程进入智能时代,为新时代培养更多背景复合型人才。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 

分 类 号：TP39[自动化与计算机技术—计算机应用技术] G434[自动化与计算机技术—计算机科学与技术]