44 results about "Negentropy" patented technology

The invention relates to the technical field of medical image processing and artificial intelligence auxiliary diagnosis, in particular to a medical image report generation informatization planning system, which comprises a multi-modal time sequence difference feature analysis module used for acquiring current medical image data and historical image data of a patient and generating a time sequence difference residual vector; the semantic entropy flow conservation and negentropy injection control module is used for calculating a system net entropy target; the dynamic planning generation module based on residual driving is used for generating a diagnosis report text sequence; the diagnostic specificity and normativity collaborative optimization module is used for constructing a composite loss function containing a cross entropy loss term and a specificity penalty term and carrying out iterative updating on system parameters based on the composite loss function, and the specificity penalty term is used for constraining the description accuracy of the generated text on the dynamic change of the image; the problem that the dynamic change of the disease course cannot be captured only by relying on static image analysis in the prior art is effectively solved.

The invention discloses an intelligent negentropy dry prediction algorithm based on Tao-German-kernel-sense-gift semantic feedback, and belongs to the technical field of medical intelligent control. According to the algorithm, multi-modal life data of a patient is continuously collected, life information entropy indexes are calculated to quantify the health state, value dimensions (Tao, Degree, kernel, meaning and gift) of entropy deviation are analyzed in combination with a DIKWP semantic knowledge graph, and a candidate intervention scheme set is generated accordingly. According to the algorithm, the scheme is filtered and optimized according to the five-dimensional moral criterion, and it is ensured that the selected intervention measures conform to the physiological law, the medical ethics and the willingness of the patient. Finally, the control module coordinates information field intervention, energy field intervention, behavior feedback intervention and other means to carry out negentropy correction on the patient, entropy change is monitored to dynamically adjust the scheme, and closed-loop negative feedback control is formed. The system can reverse the disease development trend in real time and maintain the human health steady state, realizes the conversion from passive treatment to active prevention, and has significant advantages in improving the chronic disease management effect and guaranteeing the medical decision ethics.