3results about How to "Troubleshoot technical issues with poor accuracy" patented technology

This application discloses a method, apparatus, and computer program product for processing outbound call services. Relating to the field of artificial intelligence, the method includes: executing an outbound call task to a user; processing the target service according to a preset service processing procedure; collecting the user's voice signal during the target service processing; extracting voice features and voice content from the voice signal; determining the current service processing node corresponding to the voice content in the preset service processing procedure; determining the service path map corresponding to the preset service processing procedure; determining a path deviation index value based on the current service processing node and the service path map; inputting the voice features into a target model to obtain the user's behavior recognition result; determining a risk index value for the user interrupting the target service based on the behavior recognition result and the path deviation index value; and adjusting the preset service processing procedure according to the risk index value. This application solves the problem of poor accuracy in recognizing user intent in outbound call services in related technologies.

The present application relates to the technical field of component detection, in particular to a rapid detection system for respiratory tract sputum components of severe patients based on mass spectrometry. The system can realize the following steps through the cooperation between multiple modules: obtaining a target mass spectrum corresponding to a respiratory tract sputum sample of a patient to be detected, and identifying a target characteristic peak and its corresponding isotope peak cluster in the target mass spectrum; determining a pathogen compliance index, protein flooding possibility and isotope peak distribution rationality corresponding to each target characteristic peak; screening protein flooding characteristic peaks from all target characteristic peaks; segmenting target pathogen peaks from the protein flooding characteristic peaks, and detecting respiratory tract sputum components according to the target characteristic peaks and the segmented target pathogen peaks. The present application realizes the segmentation of protein flooding characteristic peaks by analyzing the protein flooding condition in the characteristic peaks, thereby facilitating the identification of the flooded pathogen, and further improving the accuracy of respiratory tract sputum component detection.

This invention relates to the field of image analysis technology, specifically to an intelligent segmentation system for necrotic areas of diabetic foot wounds. This system, through the cooperation of multiple modules, can achieve the following steps: acquiring an RGB image of the foot wound corresponding to the target patient and performing Lab conversion; identifying the foot wound region; determining the grayscale feature value corresponding to each pixel in the foot wound region, thereby determining the texture color feature value corresponding to each pixel in the foot wound region; clustering the pixels in the foot wound region according to the texture color feature values; performing edge light penetration analysis on pixels within suspected necrotic tissue clusters, and filtering out the target necrotic wound region from the suspected necrotic tissue clusters. This invention, by analyzing RGB images of foot wounds, achieves the identification of necrotic wound regions and improves the accuracy of necrotic wound region segmentation.