14 results about "Death cause" patented technology

The application provides a biomarker and application for early detection of aspiration pneumonia. By detecting the biomarker, the defects of the current biomarker for aspiration pneumonia can be overcome, early detection of aspiration pneumonia can be realized, early intervention and preventive measures can be carried out, and the death caused by aspiration pneumonia can be greatly reduced.

The present application relates to the technical field of emergency material scheduling, and particularly relates to a multi-level inventory collaborative allocation method for medical materials under a sudden health event. The multi-level inventory collaborative allocation method for medical materials under a sudden health event comprises the following steps: S1: real-time acquisition of organophosphorus exposure data of a sudden health event area, construction of exposure concentration spatiotemporal distribution and spatiotemporal disability surface according to the organophosphorus exposure data; S2: acquisition of total drug demand of the sudden health event area and self-protection demand threshold of each inventory node according to the exposure concentration spatiotemporal distribution and the spatiotemporal disability surface, and acquisition of initial allocation data based on the self-protection demand threshold of each inventory node. The present application embeds the toxicology time-dose effect into the multi-level inventory collaborative decision, so that the allocation scheme can match the minute-level rescue window after organophosphorus poisoning, and the risk of irreversible injury and death caused by drug delay is significantly reduced.

Disclosed herein are methods of disease treatments by administering to a subject in need thereof a pharmaceutical composition comprising gene editing compositions. The methods disclosed herein can provide durable in vivo editing of PCSK9. More particularly, the compositions disclosed herein are capable of in vivo editing PCSK9 gene in humans and reducing PCSK9 protein and LDL-C for a potentially transformative treatment of cardiovascular disease, the leading cause of death in the United States and world-wide. Various aspects of the compositions, use and preparation are disclosed, including clinically supported therapeutically effective and safe human dosing of the compositions.

The present application relates to medical data management technical field, specifically to the dynamic construction method and system of chronic disease verification knowledge graph in the field of public health, wherein the dynamic construction method of chronic disease verification knowledge graph in the field of public health comprises the following steps: S1: collecting death data and corresponding medical record information; S2: hierarchical extraction is carried out on the cause of death chain in the death data, at least one cause of death data is obtained, corresponding disease information is retrieved according to the cause of death data, association matching is carried out in the corresponding medical record information according to the disease information, whether there is relationship information related to the disease information is output, and the key entity in the death data is extracted and stored as the triple data of the death data; S3: the triple data of the death data is mapped and converted, and inserted into the knowledge graph of the preset graph database module. The present application can realize the dynamic construction of chronic disease verification knowledge graph in the field of public health, and has high automation degree.

The application discloses an ultra-large ancient cedar life guarantee system, which comprises an ancient cedar, the ancient cedar guarantees the illumination requirement of the ancient cedar through the way of isolated planting, and further comprises disease and pest killing measures, underground water pollution isolation measures, lightning protection measures of the ancient cedar, tree trunk and tree support measures, water supply and drainage measures, local temperature and humidity adjustment measures and intelligent adjustment devices; the application fills the domestic blank of the system guarantee technology for the ultra-large ancient cedar, effectively manages by using intelligent equipment, obtains common death causes of the ancient cedar through the research on the death of the ancient cedar, and proposes a set of feasible guarantee methods according to the research on the diseases and pests, soil, underground water, illumination and other external environments of the project, so that the healthy life of the ancient cedar is effectively prolonged; the technical construction method and process are simple, a large amount of engineering cost and construction time are saved, the cost is low, rapid construction is realized, and the effect is remarkable after completion.

The application discloses a cause-of-death chain auxiliary inference method and device, and the method comprises the following steps: acquiring a death investigation record text; generating an ICD coding list associated with a current death event based on a time line according to the death investigation record text; determining a cause-of-death chain compilation rule, a cause-of-death chain compilation case and each cause-of-death chain and its probability related to the current death event according to the ICD coding list; and determining the cause-of-death chain and the root cause of the current death event by using a Prompt prompt large language model in combination with the cause-of-death chain compilation rule, the cause-of-death chain compilation case and the cause-of-death chain and its probability. According to the application, the cause-of-death information extraction and the auxiliary inference of the cause-of-death chain can be intelligently and automatically completed, and the accuracy and efficiency of the cause-of-death monitoring work are improved.

The only unique appearance is the authentic manuscripts and art on the drawings on the magnify lens and case. The difference from average cases is this case is created for the purpose of relieving stress with arts for critical care patients for example, cardiology patients. It could be utilized while screening the stressed patients and preventing inaccurate results from micro-small text that is the cause of statistical deaths caused by misread medical instructions.The arts separate from this application are created to insert in the case for the purpose of art therapy that caters to the patient to lower stress for all as in their home environment.

The application discloses a flood mortality rate estimation method based on population displacement and purchasing power parity per capita, and the method comprises the following steps: firstly, collecting historical data of flood events, which at least covers the number of population displacement, the purchasing power parity per capita and the actual number of deaths caused by the flood; checking the number of population displacement and the purchasing power parity per capita; then, according to a preset standardization method, normalizing the death data by using the number of population displacement, so as to obtain a death rate index which eliminates the influence of the event scale; next, taking the number of population displacement and the purchasing power parity per capita as characteristic variables and taking the calculated death rate as a target variable, a prediction model is constructed and trained; finally, inputting the corresponding data of a flood event to be evaluated into the trained model, and outputting the estimated value of the death rate of the event. The application can realize cross-event and cross-scale flood mortality rate estimation. The application can be widely applied in the field of risk assessment.

The invention discloses a dietary magnesium intervention application method for smokers and high-cadmium exposure crowds. According to the dietary magnesium intervention application method, the blood cadmium level, the magnesium deficiency score and the smoking state of an individual are detected; performing risk stratification on the individuals according to the blood cadmium level, the magnesium deficiency score and the smoking state, and determining that the individuals belong to high-cadmium exposure crowds or smoking crowds, and determining that the individuals are risk crowds; and performing intervention with the daily intake of dietary magnesium of 272.9 mg or above on individuals belonging to the high-cadmium exposed crowd or smokers. The specific protection threshold 272.9 mg / day of dietary magnesium is proposed for the first time on the basis of crowd big data research, individualized risk stratification and accurate intervention are achieved by integrating the blood cadmium level, the magnesium deficiency score and the smoking state, and the risk of total cause and specific cause death caused by cadmium exposure and smoking is reduced; and an operable technical means is provided for disease prevention and health management.

The application provides a biomarker combination specific to coronary sudden death and application and products thereof, and belongs to the technical field of forensic science.The biomarker combination comprises ascorbic acid, docosahexaenoic acid, carnitine, glutamine and norleucine.The biomarker combination is significantly changed in serum samples of individuals with coronary sudden death, and after ROC verification, shows good diagnostic performance, indicating that it has the potential to be applied to forensic identification of coronary sudden death.The potential application value of the non-targeted metabolomics strategy of the application in difficult and complex death cause identification provides a new idea for molecular diagnosis of death cause investigation.

The application discloses application of BAY 11-7085 in preventing and treating pneumonia. In the application, it is found through actual administration test of a model mouse that BAY 11-7085 can significantly reduce expression of inflammatory factors and protein content in alveolar lavage fluid, reduce a lung pathology score, thereby treating pneumonia, and effectively relieving or inhibiting alveolar protein deposition, pulmonary edema and death caused by pneumonia.

The application discloses a kind of fusion multi-model intelligent reasoning's cause of death chain automatic generation and radical cause of death determination support method and equipment.The method comprises: obtaining and preprocessing electronic medical record data;Adopt four-stage series screening mechanism including semantic matching, context adaptation, timing verification and statistical optimization, map clinical text into candidate ICD coding;Adopt search enhancement generation framework and dynamic multi-round controllable reasoning engine to generate candidate cause of death chain;Adopt the mixed probability model of timing-cause dual constraint to evaluate candidate cause of death chain, calculate comprehensive probability to determine radical cause of death, and the result is visualized and presented.The application can realize the automation of cause of death chain generation and radical cause of death determination, significantly improve accuracy and efficiency, enhance the explainability of decision-making process, and have continuous learning ability.

The application discloses a kind of based on disease Chinese explanation cause of death chain detection model training and detection method, training method includes: collecting all ICD coding and Chinese explanation;Obtain cause of death chain sample;Randomly initialize the character vector corresponding to each Chinese character;Chinese explanation of each ICD coding in sample is replaced by character vector, and the corresponding ICD vector is obtained;Each ICD coding in each sample is replaced by ICD vector, and the corresponding vector matrix is obtained;Randomly initialize mask vector, randomly select the row vector in the vector matrix of sample, replace row vector with mask vector, obtain the mask matrix corresponding to each sample;Cause of death chain detection model is constructed, the mask matrix corresponding to each sample is input into model, and the probability that each ICD coding is located in each order in each sample is output;According to the probability that each ICD coding is located in each order in each sample, the total loss of all samples is calculated;Based on total loss, the model is trained, when total loss converges, the training completed cause of death chain detection model is obtained.