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Accepted for/Published in: JMIR Medical Informatics

Date Submitted: Mar 12, 2020
Date Accepted: Mar 22, 2020

The final, peer-reviewed published version of this preprint can be found here:

Artificial Intelligence–Based Neural Network for the Diagnosis of Diabetes: Model Development

Liu Y

Artificial Intelligence–Based Neural Network for the Diagnosis of Diabetes: Model Development

JMIR Med Inform 2020;8(5):e18682

DOI: 10.2196/18682

PMID: 32459183

PMCID: 7287715

Research on Artificial Intelligence-based Technology in Assisted formulation of Oral Drug Treatment Strategies for Geriatric Diabetes Drugs

  • Yue Liu

ABSTRACT

Background:

This paper studies the application of artificial intelligence techniques in the diagnosis of diabetes.

Objective:

This paper studies the application of artificial intelligence techniques in the diagnosis of diabetes.

Methods:

This paper established based on BP neural network diagnostic model of artificial intelligence technology, data collected on the case of integration and extraction, select the input feature vector, to establish the diagnosis model in MATLAB software platform. Meanwhile, based on the diagnostic model, based on the LabVIEW development platform and intelligent combination of MATLAB software designed diabetes diagnosis system., User data by calling the neural network diagnostic module analyzes, to complete the diagnosis of diabetes, and gives appropriate treatment recommendations.

Results:

Compared to the conventional diagnostic procedure, the system can effectively save time doctor to improve diagnostic efficiency.

Conclusions:

The artificial intelligence in older diabetes drugs oral drug treatment strategies assist in the development of applications have some utility.


 Citation

Please cite as:

Liu Y

Artificial Intelligence–Based Neural Network for the Diagnosis of Diabetes: Model Development

JMIR Med Inform 2020;8(5):e18682

DOI: 10.2196/18682

PMID: 32459183

PMCID: 7287715

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