Cardiovascular disease data acquisition and triage platform

Abstract

The invention discloses a cardiovascular disease data acquisition and triage platform which comprises a database server, and a data collection system and a patient disease classification system connected to the data collection system. The data collection system is used to collect cardiovascular symptom data of a patient end, and comprises a wearable electrocardio collection terminal and a patientsymptom information collection terminal; the wearable electrocardio collection terminal is provided with a man-machine dialogue system based on a patient data collection model; the patient data collection model is a hierarchical model of a tree-shaped structure; and the patient disease classification system carries out patient classification analysis on the collected cardiovascular symptom data, and comprises a CNN (convolutional neural network) data analysis unit and a long and short memory neural network data analysis unit, the CNN data analysis unit inputs an oscillogram, and the long and short memory neural network data analysis unit inputs text information. According to the platform, an artificial intelligence classification technology is applied, and the triage accuracy is improved.

Description

technical field [0001] The invention relates to a triage platform, in particular to a cardiovascular disease data collection and triage platform. Background technique [0002] At present, the morbidity and mortality of cardiovascular diseases in my country are still on the rise. According to the "China Cardiovascular Disease Report 2016", it is estimated that the number of patients with cardiovascular diseases is 290 million, of which 13 million are stroke, 11 million are coronary heart disease, 4.5 million are heart failure, 5 million are cor pulmonale, and 2.5 million are rheumatic heart disease. , 2 million with congenital heart disease and 270 million with high blood pressure. Cardiovascular disease mortality ranks first, higher than tumors and other diseases, accounting for more than 40% of residents' death from diseases. [0003] On the other hand, the distribution of medical resources is extremely uneven, and high-quality medical resources are very limited. This is...

AI Technical Summary

Problems solved by technology

[0006] There is also an automatic hospital triage system: some hospitals have a triage terminal, which can correspond to the corresponding department according to the selected diseased part. The limitation of this kind of triage is that this kind of triage is not completely accurate. The patient reassesses and judges by himself. One diseased part may correspond to multiple diseases, and the disease is triaged to the corresponding department. Different doctors in the department are good at treating different diseases;

[0007] In addition, there is a relatively simple triage system on the appointment registration platform, which corresponds to the corresponding department by selecting the diseased part and symptoms. Because this automatic triage is based on a one-stop unified appointment platform, patients can choose doctors The range is large, but other limitations (cannot achieve accurate triage, more dependent on the patient's own subjective judgment) are similar to the second situation above, it is easy to mislead patients who do not know their own conditions, and the triage effect is more dependent on Patient's own subjective judgment

[0008] The aforementioned three triage methods or systems have the following technical problems individually or together: for manual triage, the time, number of triages, and scope of triage are limited by manual services; The triage system has limited accuracy of triage, and the accuracy of triage depends more on the patient's own experience and judgment, and it is impossible to triage the patient to an expert who is good at treatment; lack of feedback mechanism, the accuracy of triage is limited. Without patient feedback, the triage system itself cannot be continuously improved and optimized

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