3results about How to "Increase adoption" patented technology

The invention provides a multi-parameter water quality data fusion analysis method and system. The method comprises the steps that water quality parameters are collected to form a three-dimensional data cube; constructing a space-time tensor model by using Tucker decomposition and a graph convolution network, and generating a core tensor matrix; constructing a dynamic constraint library and embedding the generative adversarial network; training a generative adversarial network by using Transform and physical constraint loss, generating synthetic data and verifying the synthetic data; performing space-time fusion by using meta learning weight distribution and Bayesian deep learning to generate a weight matrix and a confidence interval; missing data are restored through physical constraint interpolation and Gaussian process regression, and SHAP and LIME interpretation and path diagrams are generated; and performing real-time analysis by using an edge-cloud collaborative architecture to generate an intelligent report. Through physical constraint modeling, dynamic weight distribution and edge-cloud collaborative architecture, the problems that synthetic data violates physical laws, weight staticization, response lag and insufficient interpretability are solved.

This invention discloses a risk management system and method for chronic disease comorbidity in the elderly based on interpretable machine learning. It includes: a data acquisition module for acquiring health-related information of the target user; a feature construction module for processing and fusing the health-related information into a structured multidimensional feature vector; a risk assessment module internally deploying a pre-trained machine learning model to output a chronic disease comorbidity risk score for the target user based on the multidimensional feature vector; an interpretability analysis module analyzing the output of the machine learning model to generate interpretable results representing the key driving factors influencing the risk assessment results and their contribution; and a personalized recommendation module, based on the risk score and key driving factors, querying a pre-set rule knowledge base to generate and output a set of personalized health management recommendations for the target user. This invention integrates scale data, clinical indicators, and comorbidity structure into a model to form an interpretable risk score, meeting the needs for comprehensiveness, accuracy, and feasibility in chronic disease comorbidity management in the elderly.

The application discloses an auxiliary diagnosis and treatment system and method based on a multi-modal fusion large model, relates to the technical field of medical artificial intelligence, adopts a dynamic time warping algorithm to align a voice feature sequence and a physiological feature sequence, then maps non-text modal semantic features to a unified text semantic space and combines a text semantic vector to construct a normalized three-dimensional feature matrix, finally extracts keywords to match a knowledge graph through vector retrieval and keyword retrieval, so as to solve the problems of subjectification of traditional diagnosis and treatment and fragmentation of multi-modal data, realize the objectification and precision of auxiliary diagnosis and treatment of mental diseases, and generate an authoritative auxiliary diagnosis and treatment scheme.