4 results about "Normal population" patented technology

An abnormality detection method for a hot plate for treating a substrate, the method comprising: a measurement step for measuring and storing changes in temperature in the hot plate during substrate treatment; a temperature integration step for integrating the changes in temperature during a plurality of substrate treatments stored in the measurement step; a normal population creation step for creating a normal population that is a normal integration result of a prescribed number of substrates integrated in the temperature integration step; and an abnormality detection step for creating an inspection target population that is an integration result of a predetermined number of inspection target substrates integrated in the temperature integration step, and detecting an abnormality related to the hot plate by comparing the inspection target population with the normal population.

The application provides a method and device for generating a reference brain image, electronic equipment and a storage medium, wherein the method comprises: in response to a received evaluation instruction, obtaining an individual brain image to be evaluated indicated by the evaluation instruction; and inputting the individual brain image into a trained variational autoencoder model to obtain a reference brain image corresponding to the individual brain image output by the variational autoencoder model, the reference brain image being used to indicate brain features in a healthy state of the individual to be evaluated. The AI model is used to reconstruct the brain image of the individual to be evaluated based on brain features of a normal population, so that a more targeted reference brain image is obtained, a personalized normal reference brain image is formed, and the individual health evaluation is better assisted.

The invention discloses an intelligent abnormal psychological behavior screening method for college student groups, and relates to the technical field of psychological screening and artificial intelligence, and the method comprises the following specific steps: inducing a subject to respond through a standardized cognitive task; synchronously acquiring and processing eye movement and electroencephalogram signals; extracting multi-modal physiological features and carrying out fusion calculation to generate a time sequence cognitive coupling feature value; training a time sequence anomaly discrimination model based on the normal group data; and finally, the features of the person to be tested are input into the model, a discrimination coefficient is calculated, a grading screening result is output, and noninvasive, objective and efficient psychological state assessment and early warning are realized. According to the method, a non-invasive screening process suitable for a campus scene is constructed, multi-modal fusion and time sequence dynamic analysis are utilized, the accuracy and objectivity of college student psychological state assessment are improved, graded and personalized screening results and intervention suggestions can be output, and an efficient and quantifiable scientific tool is provided for campus psychological health management.

The application discloses a kind of abdominal aortic aneurysm serum protein fingerprint detection analysis method and system based on LASSO regression algorithm.The method is by optimizing serum sample pretreatment process, in combination with MALDI-TOFMS mass spectrometry technology and high-throughput proteomics data analysis, screening the differential expression protein in serum related to abdominal aortic aneurysm occurrence, development and rupture;Further utilize LASSO machine learning algorithm to construct risk assessment model based on key protein combination.The method of the application has the advantages of high sensitivity, good specificity, can effectively distinguish abdominal aortic aneurysm patients and normal population, and can accurately predict the rupture risk of abdominal aortic aneurysm, especially early small aneurysm, provide important tool and basis for clinical early diagnosis, risk stratification and personalized treatment decision.