Predicting Heart Disease Through the Application of Machine Learning Techniques Using the Python

Zihang Fu

doi:10.54097/ppendm51

Authors

Zihang Fu

DOI:

https://doi.org/10.54097/ppendm51

Keywords:

Artificial intelligence, heart disease, convenience.

Abstract

This paper is mainly about using machine learning methods to predict cardiovascular disease. Because cardiovascular disease now ranks first in mortality and the methods and costs of curing heart disease are very small and expensive, so why not take a step earlier? As for discovering diseases, there are not many projects that use machines to predict diseases, and it costs a lot of money to predict diseases in hospitals. Using machines can be faster and more accurate. Another point is that society has entered the era of artificial intelligence, and the medical industry It should also usher in an improvement and should keep pace with other industries, so I want people to experience predicting diseases, such as performing cardio-tracheal examinations faster and more accurately with less money. This helps a lot of families save a lot of money and get the same services as a hospital, which is not a good thing and that's why I did this research.

Downloads

Download data is not yet available.

References

Ren Shanshan: Research on disease prediction based on CNN disease data processing technology, Middle School Affiliated to Shaanxi Normal University, Xi'an 710000.

Shi Shengyuan, Zhu Lei, Ye Lin and Luo Tieqing: Research on cardiovascular disease prediction based on random forest algorithm, School of Information Science and Engineering, Hunan University of Traditional Chinese Medicine, Changsha 410208.

Lan Xin1 Wei Rong1 Cai Hongwei1 Guo Youmin2 Hou Mengwei1 Department of Imaging, The First Affiliated Hospital of Jiaotong University, Xi'an, 710061.

Liao Hualong 1 Zeng Xiaoqian 2 Li Huafeng 3 Yu Yang 4 Zhao Can 1 Chen Yu 1: Application of machine learning in disease prediction, 1. Provincial Key Laboratory of Biomechanical Engineering, Sichuan University, Chengdu 6100652. West China Big Data Center, West China Hospital of Sichuan University, Chengdu 6100413. Department of Anesthesiology, West China Second Hospital of Sichuan University, Chengdu 6100414. Department of Nephrology, West China Hospital of Sichuan University, Chengdu 610041.

Liu Jimin 1 Zhang Kai 2 Wen Long 1 Jia Quanqiu 3 Xie Chuangsen 1 Faye Wong 2: Improved algorithm model for cardiovascular disease prediction, 1. School of Intelligent Equipment, Shandong University of Science and Technology, Tai'an, Shandong 2710002. School of Computer Science and Engineering, Shandong University of Science and Technology, Shandong Qingdao 2660003. Big Data College, Taishan University of Science and Technology, Tai'an, Shandong 271000.

Wang Zengwu and Wu Yangfeng: Methods for predicting cardiovascular disease, 100037, Institute of Cardiovascular Diseases, Fuwai Cardiovascular Hospital, Chinese Academy of Medical Sciences, Peking Union Medical College, 100037, Chinese Academy of Medical Sciences, Peking Union Medical College, China Institute of Vascular Diseases, Fuwai Cardiovascular Hospital, Epidemiology Research Department.

Zhu Xiaotong, Pang Chunying, Zhu Han: Cardiovascular disease prediction model based on deep learning, College of Life Science and Technology, Changchun University of Science and Technology, Changchun 130022.

Liu Yan, Fu Jianfeng and Hu Jiakai: Research on cardiovascular disease prediction based on classification model, School of Information Management, Shanghai Lixin University of Accounting and Finance, Shanghai 201209.

Wang Zengwu and Wu Yangfeng: Methods for predicting cardiovascular disease, 100037, Institute of Cardiovascular Diseases, Fuwai Cardiovascular Hospital, Chinese Academy of Medical Sciences, Peking Union Medical College, 100037, Chinese Academy of Medical Sciences, Peking Union Medical College, China Institute of Vascular Diseases, Fuwai Cardiovascular Hospital, Epidemiology Research Department.

Hu Manman 1 Chen Xu 1 Sun Yuzhong 2 Shen Xi 2 Wang Xiaoqing 3 Yu Tianyang 4 Mei Yudong 1 Xiao Li 2 Cheng Wei 5 Yang Jie 6 Yang Yan 7: Disease prediction model based on dynamic sampling and transfer learning, 1. Computing Technology Research, Chinese Academy of Sciences Institute Beijing 1000802. University of Chinese Academy of Sciences Beijing 1000493. Institute of Computing Technology, Chinese Academy of Sciences Beijing 1000804. Beijing Chaoyang Hospital Affiliated to Capital Medical University Beijing 1000205. Nanchang University Nanchang 3300006. China Academy of Chinese Medical Sciences Xiyuan Hospital Beijing 1000917. China Academy of Chinese Medical Sciences Traditional Chinese Medicine Data Center Beijing 1007008. Information Department, No. 983 Hospital of the Joint Logistics Support Force of the Chinese People's Liberation Army, Tianjin 300142.