Application method of machine learning classification model in adolescent autism auxiliary diagnosis
A technology for auxiliary diagnosis and classification models, applied in machine learning, computer-aided medical procedures, computing models, etc., can solve problems such as time-consuming, cost-consuming, and prone to randomness
- Summary
- Abstract
- Description
- Claims
- Application Information
AI Technical Summary
Problems solved by technology
Method used
Image
Examples
Embodiment Construction
[0080] The following will be combined with Figure 1-Figure 5 The present invention is described in detail, and the technical solutions in the embodiments of the present invention are clearly and completely described. Apparently, the described embodiments are only some of the embodiments of the present invention, not all of them. Based on the embodiments of the present invention, all other embodiments obtained by persons of ordinary skill in the art without making creative efforts belong to the protection scope of the present invention.
[0081] The present invention provides an application method of a machine learning classification model in the auxiliary diagnosis of autism in adolescents through improvement; it is implemented in the following manner;
[0082] (1) Model training methods; including Hold-out, CrossValidation and Bootstrapping;
[0083] The set-out method divides the initial data set D into two sub-data sets S and T, satisfying: D=S∪T and Train the model M o...
PUM
Abstract
Description
Claims
Application Information
- R&D Engineer
- R&D Manager
- IP Professional
- Industry Leading Data Capabilities
- Powerful AI technology
- Patent DNA Extraction
Browse by: Latest US Patents, China's latest patents, Technical Efficacy Thesaurus, Application Domain, Technology Topic, Popular Technical Reports.
© 2024 PatSnap. All rights reserved.Legal|Privacy policy|Modern Slavery Act Transparency Statement|Sitemap|About US| Contact US: help@patsnap.com