8 results about "Survival Status" patented technology

The invention discloses a method for predicting the survival state of duck against hepatitis A virus infection. The method comprises the following steps: (1) constructing a PCA (Principal Component Analysis) prediction model by taking the contents of IFN-alpha and IFN-beta of duck blood as variables; (2) measuring the contents of IFN-alpha and IFN-beta in the duck blood to be measured; and (3) substituting the measured contents of IFN-alpha and IFN-beta in the duck blood into the prediction model, and predicting the anti-hepatitis A virus infection survival state of the duck to be detected according to the family background of the individual in combination with the output result of the prediction model. According to the method, ROC curves and corresponding AUC values of different prediction models in the aspect of predicting the survival state are compared, and the result shows that the AUC value of the PCA prediction model is the highest, and the sensitivity and the specificity are most prominent. Based on the prediction model provided by the invention, the Beijing duck individuals or strains with strong disease resistance can be rapidly screened, and the prediction model has an application prospect in duck disease resistance breeding or duck virus hepatitis prevention.

The invention belongs to the technical field of biological medicine, and discloses a portal cholangiocarcinoma postoperative risk prediction model based on a gamma-glutamyltransferase (GGT) dynamic change track and a construction method thereof. The method comprises the following steps: (1) collecting clinical characteristic data and survival characteristic data (including survival time and survival state) of a patient suffering from porta hepatis cholangiocarcinoma subjected to radical resection; 2) on the basis of GGT detection results at different time points in a perioperative period, dividing patients into different GGT dynamic change track types by using a latent category hybrid model; and 3) taking the clinical characteristic data and the GGT dynamic change track type as independent variables, taking survival data as response variables, screening prediction factors through LASSO regression, and constructing a multi-factor Cox regression model, namely a postoperative risk prediction model. According to the method, the dynamic evolution rule of the GGT is introduced, so that the limitation of single-time static detection is made up, the quantitative evaluation of the survival risk is realized, and a scientific basis is provided for individualized treatment and follow-up visit management.

This invention relates to the field of medical monitoring technology and discloses a joint intelligent assessment system for skin flap color and temperature. The system includes a multimodal data acquisition module for the flap, a surface attribute analysis module for the flap, a deep pathological inference module, and a dynamic survival status prediction module. It generates a data package with a unified spatiotemporal reference by simultaneously acquiring and fusing color texture images and infrared thermal imaging data. The system quantifies and analyzes the boundaries and parameters of abnormal color and temperature regions from the fused data, then calculates the spatial overlap and correlation between abnormal color and temperature regions, and generates inference vectors representing deep blood supply and metabolic status based on rules. A state evolution model is constructed by combining historical vector data to achieve dynamic prediction of the flap's survival status. This system realizes the objective and synchronized analysis of multimodal information on flap appearance and inference of deep pathological correlations, improving the accuracy and early warning capabilities of postoperative monitoring.

The invention discloses a personnel survival state verification method and device based on an age segmentation strategy and a medium, and the method comprises the steps: constructing an age segmentation system composed of a plurality of age segments according to a preset age segmentation interval and the number of age segments; for each age segment, determining a corresponding verification weight coefficient according to a dead population proportion corresponding to the age segment; calculating a verification data volume corresponding to each age segment according to the verification weight coefficient; according to verification business requirements, determining a data verification strategy for verifying the survival state of the personnel, and based on the data verification strategy, selecting a specified age segment from age segments included in the age segment system; and selecting to-be-verified personnel data from the personnel data corresponding to the specified age segment according to the verification data volume, calling a preset verification interface, and performing survival state verification on the to-be-verified personnel data according to the verification frequency corresponding to the data verification strategy so as to determine the corresponding survival state.

The invention relates to the technical field of survival data fitting of lung cancer treatment, and particularly discloses a survival data fitting method and an intelligent system for treating advanced non-squamous and non-small cell lung cancer by combining bevacizumab with cis-platinum. Comprising the following steps: a data acquisition step: collecting clinical data of a patient who treats the advanced non-squamous non-small cell lung cancer by combining bevacizumab with cis-platinum, the clinical data comprising basic information of the patient, treatment scheme information, survival time data and survival state data; a data preprocessing step: cleaning the collected clinical data, removing missing values and abnormal values, and performing standardization processing on the data; and a feature engineering step: performing feature engineering based on the preprocessed clinical data. According to the survival data fitting method and system for treating the advanced non-squamous non-small cell lung cancer by combining bevacizumab with cis-platinum, the limitation that only part of clinical characteristics are utilized in a traditional method is changed, complex data can be processed more comprehensively, and the accuracy and reliability of survival data fitting are effectively improved.

The invention belongs to the technical field of medicines, and particularly relates to a medicine utilizing macrophages to be combined with prodrug conversion and immune regulation and application. The invention provides a combined medicine utilizing macrophages combined with prodrug conversion and immune regulation. The combined medicine consists of M1 type macrophages, macrophages for expressing cytosine deaminase and 5-flucytosine (5-FC). The combined medicine has high toxicity to colon cancer cells; when the combined medicine is applied to a mouse with colon cancer, the combined medicine has a synergistic effect in the aspect of prolonging the lifetime of the mouse with colon cancer. The combined medicine can synergistically improve the survival state of mice with colorectal cancer, is expected to be used for treating colorectal cancer and improving the survival state of patients with colorectal cancer, and has a good application prospect.

Supporting various services related to digital legacy that smoothly substitute the procedures for handling digital legacy without waiting for requests from the bereaved family, and recover and delete digital legacy in accordance with the will of the deceased. 【Solution means】 The system is a digital legacy management system in which a first data terminal 3 operated by the contractor himself / herself communicates with a server device 1 that substitutes the procedures for handling the legacy in accordance with the management contract for the digital legacy requested from the terminal. The server device 1 requests the first data terminal 3 to confirm the survival of the contractor himself / herself as a survival confirmation request. The CPU 1-2 determines the survival status of the contractor based on the response result from the first data terminal 3, and automatically deletes the digital legacy of the deceased registered in the contract servers 2-1 to 2-N when the survival status of the contractor cannot be confirmed.

The invention discloses a traditional Chinese medicine composition which is prepared from radix pseudostellariae, bighead atractylodes rhizome, poria cocos, honey-fried licorice root, pericarpium citri reticulatae, semen torreya, citron, roxburgh rose, sea-buckthorn, rhizoma kaempferiae and amomum tsao-ko. The composition is especially designed for people who need to promote the digestive function, and aims to solve the problem of dyspepsia caused by factors such as diet loss, exercise qi consumption and the like. By utilizing the synergistic effect of various traditional Chinese medicinal materials, the digestion ability is enhanced, and the immune function of the body is also improved. The effectiveness and the safety of the composition are proved by detecting the general survival condition, the small intestine propulsion rate, the gastric emptying rate, the gastrointestinal hormone level and the immune globulin of rats. Therefore, the traditional Chinese medicine composition disclosed by the invention can be used as a new treatment choice, and a natural, safe and effective alternative therapy is provided for patients with digestive dysfunction; the beverage is also suitable for being used as a daily health-care beverage, and helps to maintain a healthy digestive system and strong immunity.