基于人工智能算法在医疗科技中的应用  

Application of artificial intelligence algorithm in medical science and technology

作　　者：孙嘉晨 Sun Jiachen

机构地区：[1]北京市第五十七中学,北京100053

出　　处：《数码设计》2018年第12期107-109,共3页Peak Data Science

摘　　要：在信息化时代随着大数据渗透到人类生产生活中的各个环节,医疗产业在人工智能技术中具有广泛应用和发展前景,研究人工智能技术在医疗科技中的应用具有重大现实意义。文章通过使用基本SQL结构化语句访问和处理数据库,配合数据库软件共同工作,使得处理医疗数据更加快捷。检索出数据后,建立不同分类模型,运用朴素贝叶斯、支持向量机和决策树三种算法完成分类任务,观察调整参数后对算法性能的影响,并通过分类器输出的结果比较三种算法预测的准确率、召回率和速度。最后总结分析出不同疾病最适合的算法。该算法兼顾数据处理的精确率与速度,结果可靠,可为医疗数据处理提供参考。in the information age, with big data permeating every link of human production and life, medical industry has extensive application and development prospect in artificial intelligence technology. It is of great practical significance to study the application of artificial intelligence technology in medical science and technology. By using the basic SQL structured statement to access and process the database and work with the database software, the medical data processing is faster. After retrieving the data, different classification models were established, and the classification tasks were accomplished by using naive Bayes, support vector machine and decision tree. The effect of adjusting parameters on the performance of the algorithm was observed, and the output of classifier was concluded. The accuracy, recall and speed of the three algorithms were compared. Finally, the most suitable algorithms for different diseases are summarized and analyzed. The algorithm takes into account the accuracy and speed of data processing, and the results are reliable and can provide reference for medical data processing.

关 键 词：人工智能 SQL结构化语言 朴素贝叶斯算法 决策树 支持向量机 医疗科技 

分 类 号：R-05[医药卫生] TP18[自动化与计算机技术—控制理论与控制工程]