Diabetes blood glucose prediction system and method based on CNN and model fusion

A technology of model fusion and prediction system, applied in neural learning methods, biological neural network models, promoting communication between doctors or patients, etc. There are no other problems, achieving the effect of realizing all-round recording and reducing the workload

Pending Publication Date: 2020-10-09
甘肃卫生职业学院
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[0005] But at the same time, diabetes is not just about monitoring the blood sugar level. It should be comprehensively monitored and monitored from multiple aspects including body weight, blood sugar level, exercise situation, and meal situation, so as to comprehensively cont

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  • Diabetes blood glucose prediction system and method based on CNN and model fusion
  • Diabetes blood glucose prediction system and method based on CNN and model fusion
  • Diabetes blood glucose prediction system and method based on CNN and model fusion

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[0029] The present invention will be clearly and completely described below in conjunction with the accompanying drawings, so that those skilled in the art can fully implement the present invention without creative work.

[0030] The specific embodiment of the present invention is: as Figure 1-5As shown, a diabetic blood sugar prediction system based on CNN and model fusion includes a blood sugar management module 1, an inpatient management module 2, an intelligent client terminal 3, and a terminal monitoring module 4. The blood glucose management module 1 and the intelligent client terminal 3 pass network server connection, the blood sugar management module 1 includes a data input unit 1-1, a data processing unit 1-2, a data output unit 1-3, a reminder unit 1-4, a data display unit 1-5, the data input unit 1-1 are respectively connected with the inpatient management module 2 and the smart client 3, the data output unit 1-3 is connected with the smart client 3, the reminder u...

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Abstract

The invention provides a diabetes blood glucose prediction system and method based on CNN and model fusion. The system comprises a blood glucose management module, an inpatient management module, an intelligent user side and a terminal monitoring module. The blood glucose management module is connected with the intelligent user side through the network server; the blood glucose management module comprises a data input unit, a data processing unit, a data output unit, a reminding unit and a data display unit; the data input unit is connected with the hospitalized patient management module and the intelligent user side; the data output unit is connected with the intelligent user side, the reminding unit and the data display unit; the data input unit, the data processing unit and the data output unit are electrically connected; the intelligent user side comprises a warning error correction module, an information input module and a service module; and the terminal monitoring module is connected with the intelligent user side through the wireless transmission module. Multi-directional monitoring is achieved, harm of hyperglycemia or hypoglycemia to a patient is reduced, and accurate nursing is achieved.

Description

technical field [0001] The invention belongs to the technical field of equipment, and in particular relates to a diabetes blood sugar prediction system and method based on CNN and model fusion. Background technique [0002] Diabetes has become one of the major non-communicable diseases that threaten human life and health in the world. Among them, Chinese diabetic patients accounted for 109.6 million, ranking first in the world. [0003] According to the statistics of the International Diabetes Federation (IDF), as of 2015, the number of diabetic patients in the world has reached 415 million, and it is estimated that by 2040, this population will reach 642 million. Developing countries will face even greater increases in diabetes prevalence. Among them, Chinese diabetic patients accounted for 109.6 million, ranking first in the world. A study showed that diabetes patients accounted for 12% to 25% of total inpatients in the United States, and about 15.1% in China, and the i...

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Application Information

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IPC IPC(8): G16H50/30G16H70/20G16H80/00G06N3/04G06N3/08
CPCG16H50/30G16H70/20G16H80/00G06N3/08G06N3/045
Inventor 杜俊艳李贵勇付亚平梁保华苗晓琦温萌闫乃丹王娅娅
Owner 甘肃卫生职业学院
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