3 results about "Disease agent" patented technology

The application discloses an automatic diagnosis algorithm for adaptive multi-agent cooperation for explainability. The application comprises the following steps: firstly, a two-way probability network of symptoms and diseases is constructed based on a data set, and a disease weight is calculated through a pre-diagnosis module to determine whether to enter a Doctor Agent module or a Med-Team Agents module. The Doctor Agent simulates single expert diagnosis, combines a medical knowledge base and the two-way probability network, and judges whether a patient can be definitely diagnosed or continue to ask related symptoms to assist in diagnosis. The Med-Team Agents simulate the consultation of multiple experts, including a Manager Agent and multiple Disease Agents, which respectively represent a chief physician and multiple disease experts. The Manager Agent dynamically manages multiple Disease Agents, selects appropriate experts according to the symptom information of the patient to generate related symptoms, and finally completes diagnosis. The application is suitable for medical automatic diagnosis tasks, combines multi-agent cooperation with two-way probability network prompts, improves the explainability of diagnosis, and realizes efficient inquiry and accurate diagnosis.

The embodiment of the invention provides a medical text information processing method and device, electronic equipment and a storage medium, and relates to the technical field of medical information processing. The method comprises the steps of obtaining unstructured medical text data of a patient, performing semantic normalization processing on term expression and time expression in the unstructured medical text data, and constructing structured prompt information based on an obtained semantic standardized medical text and context metadata associated with the semantic standardized medical text. Performing response analysis on the structured prompt information by using a preset large language model, obtaining original structured clinical data, performing verification and repair processing, obtaining target structured clinical data, inputting the target structured clinical data into a plurality of special disease agent models for parallel reasoning, and generating an intermediate judgment result with a causal interpretation chain; and a comprehensive analysis report is formed through a collaborative fusion mechanism, so that the interpretability and clinical rationality of diagnosis are enhanced, and the robustness of complex complication identification and the overall decision quality are effectively improved.

The application provides a composite microbial growth-promoting and disease-resistant bactericide, a preparation method and application thereof. The composite microbial growth-promoting and disease-resistant bactericide is prepared by mixing B24 bactericide of Pseudomonas putida and 79-1 bactericide of Bacillus subtilis. Since there is no obvious antagonism between the two, the growth-promoting effect of the B24 bactericide of Pseudomonas putida can be utilized, and the antagonism of the 79-1 bactericide of Bacillus subtilis to J-9, B152 and 617-3 of Fusarium during the growth of crops can be utilized, so that the rapid growth of crops can be effectively promoted.