The Classification of Heart Disease Based on Artificial Network

Yang Sun

doi:10.47297/taposatWSP2633-456929.20220303

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The Classification of Heart Disease Based on Artificial Network

3卷第3期

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The Classification of Heart Disease Based on Artificial Network
The Classification of Heart Disease Based on Artificial Network
Changchun University of Technology,Jilin,Changchun,P.R. China,130000
2022年3卷第3期页码：134-142
纸质出版日期： 2022 ，
DOI：10.47297/taposatWSP2633-456929.20220303
Accepted：

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(2022). The Classification of Heart Disease Based on Artificial Network. 科技理论与实践（英文版）, 3(3), 134-142.

YANG SUN. (2022). The Classification of Heart Disease Based on Artificial Network. Theory and Practice of Science and Technology, 3(3), 134-142..
(2022). The Classification of Heart Disease Based on Artificial Network. 科技理论与实践（英文版）, 3(3), 134-142. DOI： 10.47297/taposatWSP2633-456929.20220303.

YANG SUN. (2022). The Classification of Heart Disease Based on Artificial Network. Theory and Practice of Science and Technology, 3(3), 134-142.. DOI： 10.47297/taposatWSP2633-456929.20220303.

摘要

Abstract

Heart disease is a chronic disease which is not infectious but has high mortality in clinic. It is difficult to be accurately analyzed by traditional medical decision-making and diagnosis methods. With the emergence of a large number of clinical diagnosis

treatment and examination reports and network electronic medical record data

information technology provides a large number of data basis for interventional medical diagnosis and auxiliary medical pathological diagnosis. Based on plenty of data for clinical diagnosis and treatment for effective extraction and processing

machine learning algorithms can make accurate diagnosis for heart diseases

predict the probability of disease disease cases and patients

and combined with relevant professional knowledge

in the field of balancing potential data analysis and processing

in order to get better disease diagnosis

improve disease prevention

diagnosis and research status.

关键词

Keywords

Heart diseaseElectronic medical recordsMedical pathological diagnosisAuxiliary medical diagnosisMachine learning

references

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