机构：[1]College of Metallurgy and Energy, North China University of Science and Technology, Tangshan 063210, China[2]College of Science, North China University of Science and Technology, Tangshan 063210, China[3]Shanxi Bethune Hospital, Taiyuan 030000, China[4]School of Public Health, North China University of Science and Technology, Tangshan 063210, China[5]Chifeng Clinical Medical School, Inner Mongolia Medical University, Chifeng 024000, China[6]Fourth Hospital of Hebei Medical University, Shijiazhuang 050000, China河北医科大学第四医院[7]Beijing Street Laboratory, Beijing 100000, China
Based on the advantages of Internet of things, this paper focuses on the research of intelligent recommendation model for cancer patients' rehabilitation, and designs a user-friendly intelligent recommendation system of cancer rehabilitation scheme. In view of the uncertainty of the cause and time of recurrence of cancer patients, the convolutional neural network algorithm was used to predict both of them. The prediction results of the model showed that the prediction accuracy was high, reaching 92%. To solve the problem of the optimal nutrition program for the rehabilitation of cancer patients, we took the recurrence time as the objective function, and established the recommendation model of the optimal nutrition support program for the rehabilitation by using BAS algorithm. Finally, under the framework of Internet of things technology, the intelligent recommendation model of cancer rehabilitation prediction model and nutrition support program was integrated to realize the recommendation system of intelligent recommendation of rehabilitation nutrition support program for cancer rehabilitation patients according to their different characteristics. After the system simulation experiment, it was found that under the condition that the predicted recurrence location was almost unchanged (49% of simulation results and 50% of actual results), the nutritional support scheme recommended by the intelligent recommendation system could extend the postoperative recurrence time of patients by more than 95%. This recommendation system can help doctors select personalized nutrition and rehabilitation programs suitable for patients in the later stage of rehabilitation treatment according to different cancer patients, and has certain guiding significance for the field of cancer rehabilitation.
基金：
This work was supported in part by the innovation projects of Ph.D. degree students in Hebei, China, under Grant CXZZBS2020134.
语种：
外文
被引次数：
WOS：
中科院分区：
出版当年[2020]版：
大类|2 区工程技术
小类|2 区计算机：信息系统2 区工程：电子与电气3 区电信学
最新[2025]版：
大类|4 区计算机科学
小类|4 区计算机：信息系统4 区工程：电子与电气4 区电信学
JCR分区：
出版当年[2020]版：
Q2COMPUTER SCIENCE, INFORMATION SYSTEMSQ2ENGINEERING, ELECTRICAL & ELECTRONICQ2TELECOMMUNICATIONS
最新[2023]版：
Q2COMPUTER SCIENCE, INFORMATION SYSTEMSQ2ENGINEERING, ELECTRICAL & ELECTRONICQ2TELECOMMUNICATIONS
第一作者机构：[1]College of Metallurgy and Energy, North China University of Science and Technology, Tangshan 063210, China[2]College of Science, North China University of Science and Technology, Tangshan 063210, China
通讯作者：
通讯机构：[1]College of Metallurgy and Energy, North China University of Science and Technology, Tangshan 063210, China[2]College of Science, North China University of Science and Technology, Tangshan 063210, China
推荐引用方式(GB/T 7714)：
Han Yang,Han Zhenguo,Wu Jianhui,et al.Artificial Intelligence Recommendation System of Cancer Rehabilitation Scheme Based on IoT Technology[J].IEEE ACCESS.2020,8:44924-44935.doi:10.1109/ACCESS.2020.2978078.
APA：
Han, Yang,Han, Zhenguo,Wu, Jianhui,Yu, Yanlong,Gao, Shuqing...&Yang, Aimin.(2020).Artificial Intelligence Recommendation System of Cancer Rehabilitation Scheme Based on IoT Technology.IEEE ACCESS,8,
MLA：
Han, Yang,et al."Artificial Intelligence Recommendation System of Cancer Rehabilitation Scheme Based on IoT Technology".IEEE ACCESS 8.(2020):44924-44935
工程技术