Mr. Minshan Yi Profile

Minshan Yi

at Chengdu Univ of Technology

SPIE Involvement:

Author

Publications (1)

This will count as one of your downloads.

You will have access to both the presentation and article (if available).

DOWNLOAD NOW

This content is available for download via your institution's subscription. To access this item, please sign in to your personal account.

Email or Username Forgot your username?

Password Forgot your password?

Show

Keep me signed in

No SPIE account? Create an account

Proceedings Article | 6 May 2022 Paper

Research on machine learning classification algorithms for diabetes data

Minshan Yi

Proceedings Volume 12176, 1217609 (2022) https://doi.org/10.1117/12.2636526

KEYWORDS: Data modeling, Machine learning, Glucose, Evolutionary algorithms, Brain-machine interfaces, Performance modeling, Statistical modeling, Process modeling, Medicine, Analytical research

Read Abstract +

The identification of disease and diagnosis of pain are the forefront of the application of machine learning research in medicine. Machine learning is widely used in medical and other aspects, and it is also a hot issue in diabetes prevention. To provide a rapid and accurate reference for diabetes prevention and diagnosis, the research uses machine learning modeling and classification, and it analyzes the Pima Indian diabetes data set to study the model of diabetes and classification problems. The study was completed to identify diabetes based on the correct classification. Through various algorithm models, this research adjusts various parameters and selects important features to optimize the classification results of the KNN and the decision tree. Through this kind of research, certain theories and thoughts can be provided for diabetes and other diseases in the future, and then diseases can be discovered and treated early, which has very practical significance to help diagnose diseases. Through this study, the accuracy rate of the KNN model and the random forest model is 76% and 80% respectively, which is helpful for the establishment of prediction model.

My Library

You currently do not have any folders to save your paper to! Create a new folder below.

Folder Name

Folder Description

View contact details

UPDATE YOUR PROFILE

Is this your profile? Update it now.

Sign into your SPIE.org account

Don’t have a profile and want one?

Create an account on SPIE.org

Access to the requested content is limited to institutions that have purchased or subscribe to SPIE eBooks. You are receiving this notice because your organization may not have SPIE eBooks access.*

*Shibboleth/Open Athens users─please sign in to access your institution's subscriptions.

To obtain this item, you may purchase the complete book in print or electronic format on SPIE.org.

ORGANIZATIONAL
Sign in with credentials provided by your organization.

Organizational Username

Organizational Password

Show/Hide Password

INSTITUTIONAL
Select your institution to access the SPIE Digital Library.

SELECT YOUR INSTITUTION

PERSONAL
Sign in with your SPIE account to access your personal subscriptions or to use specific features such as save to my library, sign up for alerts, save searches, etc.

PERSONAL SIGN IN

No SPIE Account? Create one

PURCHASE THIS CONTENT

SUBSCRIBE TO DIGITAL LIBRARY

50 downloads per 1-year subscription

Members: $195

Non-members: $335 ADD TO CART

25 downloads per 1 - year subscription

Members: $145

Non-members: $250 ADD TO CART

PURCHASE SINGLE ARTICLE

Includes PDF, HTML & Video, when available

Members:

Non-members: ADD TO CART

Keywords/Phrases

Search In:

Publication Years