3 results about "Disease factors" patented technology

The present disclosure provides an intelligent medical consultation dialogue method, including: acquiring a medical consultation dialogue from a target user through an intelligent medical consultation dialogue interface; extracting disease feature information from the consultation dialogue; querying a medical decision-making database based on the disease feature information to obtain a suspected disease set; calculating a degree of suspicion corresponding to the suspected disease in the suspected disease set; screening for a target suspected disease from the suspected disease set based on the degree of suspicion; determining whether an unconfirmed disease factor exists in the suspected disease based on the disease feature information; and initiating a question generation task based on the unconfirmed disease factor, performing the question generation task using a large language model to obtain a question targeting the unconfirmed disease factor, and outputting the question. The method provides a transparent and controllable consultation process, reducing risk of diagnostic errors.

An intelligent medical consultation dialogue method, including: acquiring a medical consultation dialogue from a target user through an intelligent medical consultation dialogue interface; extracting disease feature information from the consultation dialogue; querying a medical decision-making database based on the disease feature information to obtain a suspected disease set; calculating a degree of suspicion corresponding to the suspected disease in the suspected disease set; screening for a target suspected disease from the suspected disease set based on the degree of suspicion; determining whether an unconfirmed disease factor exists in the suspected disease based on the disease feature information; and initiating a question generation task based on the unconfirmed disease factor, performing the question generation task using a large language model to obtain a question targeting the unconfirmed disease factor, and outputting the question is provided. The method provides a transparent and controllable consultation process, reducing risk of diagnostic errors.

This invention discloses a method, computer device, and storage medium for mining key disease factors by combining multi-omics data. The method includes acquiring multiple omics data related to a specific disease; acquiring a first matrix and a second matrix related to the disease factors under investigation from the omics data; establishing a joint sparse optimization regularization model; and solving the joint sparse optimization regularization model to obtain key disease factors. This invention can obtain key disease factors for a specific disease, reducing the number of disease factors to be analyzed and improving efficiency. By integrating multi-omics data related to a specific disease to extract high-quality omics information, it treats all omics components of the lesions during the disease's development as a complete target group, realizing the quantification process of the regulatory effect of key factors on disease targets, and effectively improving the prediction accuracy of key factors. This invention has wide applications in the field of bioinformatics.