41 results about "Blood Indices" patented technology

The invention provides a blood transfusion treatment scheme recommendation system and method based on historical information, and relates to the field of medical information.The blood transfusion treatment scheme recommendation method comprises the steps that firstly, basic information and diagnosis information of a patient, real-time blood test information and historical blood transfusion medical record information are extracted from HIS, LIS, EMR and TMIS systems; performing joint semantic analysis on the basic information, the diagnosis information and the real-time blood test information, and converting the historical blood transfusion medical record information into a dynamic vector sequence; then, the current blood index and the historical blood transfusion time sequence are dynamically matched in a frequency domain space through nonlinear spectrum analysis, and a personalized recommendation scheme is generated in combination with the implicit reasoning ability of a pre-trained medical large model, so that the limitation of a traditional system in the aspects of static parameter setting, individual adaptability and semantic mining is broken through; and the accuracy and timeliness of blood transfusion treatment decision making are remarkably improved.

The invention relates to the technical field of medical information systems, in particular to a blood smear abnormal cell intelligent recognition system and method based on deep learning. The multi-stage convolutional neural network module is in data connection with the image acquisition module, and the abnormal cell bank module is in data connection with the multi-stage convolutional neural network module; the knowledge graph module is in data connection with the abnormal cell bank module, and the blood index calculation module is in data connection with the multistage convolutional neural network module and the abnormal cell bank module and is used for calculating various blood indexes; generating a graphical display result of the blood indexes; the result output module is in data connection with the knowledge graph module and the blood index calculation module; according to the blood disease diagnosis method and system, the whole process from image acquisition to diagnosis report generation can be automatically completed, detailed analysis results and diagnosis suggestions can be provided for doctors, and the efficiency and accuracy of blood disease diagnosis are greatly improved.

The invention discloses a dental ulcer image recognition autoimmune disease blood index correlation analysis system, and relates to the technical field of medical informatics. Comprising a time sequence data acquisition module, a steady state baseline construction module, a cross-modal synchronous analysis module, a deviation degree calculation module, a disease risk judgment module and a risk early warning output module. The system constructs an individualized immune steady-state baseline by acquiring a dental ulcer image of a user and time sequence data of blood indexes related to autoimmunity; the image lesion dynamic evolution rate is used as a guide factor, time extrapolation is carried out on the blood indexes collected asynchronously, and synchronous predictive immune data are generated; by calculating the deviation degree of the prediction data and the steady state baseline, accurate and real-time judgment and early warning of the autoimmune disease risk are realized. According to the invention, the problem of evaluation delay caused by desynchrony of dental ulcer image and blood index acquisition time is effectively solved, and the timeliness and accuracy of health risk monitoring are improved.

The application discloses a pentosus pentosaceus and postbiotic compound thereof for tonifying qi, nourishing face and improving anemia, and belongs to the technical field of microbial fermentation. The application screens a pentosus pentosaceus, obtains the bacterial body and postbiotic by culture, and forms a compound of the postbiotic and extract of semen ziziphi spinozae. The compound exhibits a synergistic effect, specifically, compared with the iron deficiency model group, the movement and various blood indexes of rats are improved, and are close to the normal rats of the control group. The indexes of rats in the compound group are better than those of rats fed with probiotics, and rats fed with postbiotic or semen ziziphi spinozae alone, which indicates that the compound can promote the recovery of iron content and protein indexes in the blood of rats more quickly. The application has practical value for comprehensive utilization of the pentosus pentosaceus and postbiotic, and also has important value for tonifying qi, nourishing face and improving anemia.

The invention provides a papillary thyroid carcinoma neck lymph node metastasis risk prediction method and system based on blood indexes and TI-RADS grading, and relates to the technical field of medical data analysis. According to the method, an original data set is constructed by obtaining TI-RADS classification, the maximum diameter of nodules, the number of nodules, gender, age and conventional hematology indexes including apolipoprotein B and carcino-embryonic antigen of a patient, characteristic variables are screened by adopting LASSO regression, and an independent prediction risk factor model is established in combination with multi-factor Logistic regression. And further constructing a column graph model, carrying out performance verification through multiple statistical indexes, and deploying the model to a webpage calculator based on a shiyapp to realize convenient output of the individualized risk probability. According to the method, efficient and accurate prediction of the preoperative lymph node metastasis risk is realized, and reliable decision support can be provided for clinic.

The application discloses an oral ulcer image recognition autoimmune disease blood index correlation analysis system and relates to the technical field of medical informatics. The system comprises a time series data acquisition module, a steady-state baseline construction module, a cross-modal synchronous analysis module, a deviation calculation module, a disease risk determination module and a risk warning output module. The system acquires the time series data of the oral ulcer image and the autoimmune related blood index of the user, and constructs an individualized immune steady-state baseline. The dynamic evolution rate of the image lesion is used as a guide factor to time extrapolate the non-synchronous collected blood index, generate synchronous predictive immune data, calculate the deviation of the predictive data and the steady-state baseline, and realize accurate and real-time determination and early warning of the autoimmune disease risk. The application effectively solves the evaluation delay problem caused by the asynchronous collection of the oral ulcer image and the blood index, and improves the timeliness and accuracy of health risk monitoring.

The invention provides a bow roundworm infection animal model as well as an establishment method and application thereof, and aims to establish a stable and repeatable bow roundworm infection animal model and explore the application value of the bow roundworm infection animal model. By optimizing the egg separation and culture technology, the development rule of infectious eggs is determined; a quantitative infection strategy is adopted to dynamically monitor worm egg discharge dynamics, clinical symptoms and blood index changes, and the reliability of the model is comprehensively evaluated; the model is further utilized to perform curative effect verification on a commercial anthelmintic drug Blein, and the result shows that the constructed animal model infected by the cat head roundworm can be used for drug effect evaluation.

The invention provides a feed additive for improving transportation stress reaction of ruminants as well as a preparation method and application of the feed additive, and relates to the technical field of functional feed additives. The feed additive comprises a probiotic composition and a traditional Chinese medicine fermented material, the probiotic composition is composed of bacillus subtilis, enterococcus faecium and saccharomyces cerevisiae, and the traditional Chinese medicine fermented material is composed of codonopsis pilosula, fructus forsythiae, radix bupleuri, soybean meal and bran. The feed additive can influence the physiological indexes, biochemical indexes and blood indexes of the ruminants and promote the indexes to recover to the level before transportation, so that the transportation stress response of the ruminants is greatly improved.

The application discloses a diabetes thrombosis risk prediction method and system based on combined analysis of blood rheology characteristics and vessel wall state, relates to the technical field of medical data processing, and obtains a target blood vessel segment image sequence to extract endothelial contour node coordinates and node radial displacement, and converts and combines to generate a vessel wall state boundary tensor; collects blood indexes to calculate red blood cell rigidity aggregation yield stress and plasma viscoelasticity relaxation time, and maps to generate a blood rheology characteristic tensor along a cardiac cycle; the two tensor spaces are aligned, an instantaneous wall shear stress vector is calculated based on a fluid-solid coupling mechanism, an oscillatory shear index and a local blood flow stasis time proportion are extracted through time domain integration to construct a rheology-vessel wall combined feature map; the feature map is input into a graph convolutional neural network to extract thrombus precursor topological features, and a risk prediction level is output through classification mapping. The system is used for implementing the above method.

This invention relates to a deep learning-based system and method for predicting hematoma expansion in spontaneous intracerebral hemorrhage. The system includes a data acquisition module for acquiring the patient's baseline head CT image data, corresponding clinical information, and blood index data; a quantization feature calculation module for performing three-dimensional hematoma segmentation on the CT image data to obtain a three-dimensional hematoma mask; a multi-dimensional feature extraction module, including a three-dimensional morphological feature extraction sub-network and a temporal feature extraction sub-network; a feature fusion module for acquiring high-dimensional features; and a risk prediction module for outputting the risk probability of hematoma expansion based on the high-dimensional features and generating a corresponding visualized risk factor weight map. This system deeply integrates data-driven three-dimensional morphological depth features and temporal features with knowledge-driven surface regularity index and density variation coefficient quantization indicators, improving feature mining capabilities while ensuring sensitivity to key pathological morphologies, thus enhancing the robustness and accuracy of prediction.

The invention provides a blood index analysis device, and relates to the technical field of biochemical analysis equipment, a first end of a collection channel is hermetically connected with a hollow microneedle, and the collection channel is communicated with the outside through the hollow microneedle; the microfluidic channels are communicated with the acquisition channels and the corresponding detection channels; the first end of the detection channel is connected with the negative pressure element, and the second end of the detection channel corresponds to the sampling area of the detection chip; a first valve core is arranged on the acquisition channel and is positioned between the hollow microneedle and the microfluidic channel; the detection channel is provided with an air channel communicated with the outside, and the air channel is provided with a second valve element. According to the blood index analysis device, integrated collection and detection of blood samples can be achieved, the overall structure is miniaturized, operation is easy, and the blood index analysis device can be applied to daily rapid blood detection and portable field measurement.

The application discloses a secondary blood index dataset generation method and system based on feature dynamic screening, and the application collects basic information and basic blood indexes of research objects, and obtains effective samples through preprocessing; and the effective samples are divided into a non-chronic non-infectious disease control group and a target disease group, and population statistical characteristic difference analysis is performed; secondary blood indexes are calculated according to the basic blood indexes, and population statistical characteristics after screening are integrated to generate an enhanced dataset; the enhanced dataset is divided into a training set and a test set according to disease state stratified sampling, continuous type indexes of the training set and the test set are synchronized and standardized, then an adaptive elastic network based on stability selection is used to screen an optimized feature set with non-zero coefficients, and finally, feature synchronization filtering is performed to integrate and form a final dataset. The application can solve the problems of low quality of an existing blood multidimensional index dataset, non-uniform processing flow and feature redundancy leading to difficulty in model selection.

The invention discloses a biomarker combination for predicting the curative effect of Evoximab on non-small cell lung cancer and application of the biomarker combination. The biomarker combination comprises NLR, MLR, PLR, ApoE and PD-L1. By integrating conventional blood indexes such as ApoE (participating in lipid metabolism regulation and immune regulation) and NLR (reflecting the whole body inflammation state), a non-invasive and clinically-popularized Evoximab curative effect prediction model is constructed, and the bottleneck problem of biomarker deficiency in bispecific antibody (Evoximab) treatment is solved. And a scientific basis is provided for accurately screening benefited crowds.

The invention relates to the technical field of livestock disease prevention and control early warning, and discloses a dairy cow ketosis prevention and control monitoring early warning method and system based on a perinatal period blood index, and the method comprises the steps: collecting a perinatal period dairy cow blood sample, and obtaining a metabolite feature set; obtaining health state information of the dairy cow; then obtaining a health state mark data set; outputting a ketosis prediction result of the currently detected dairy cow through the ketosis prediction model; the health change trend of the dairy cow is obtained, different individual intervention strategies are planned, the individual intervention strategies are accurately matched with the current health state stage of the dairy cow, and the optimal intervention scheme is obtained. According to the application, prospective, dynamic and precise prevention and control of ketosis can be realized, so that nutrition regulation and control are precisely matched with individual metabolic response, and the prospective, individualized and economical efficiency of prevention and control of perinatal metabolic diseases is remarkably improved.

Disclosed are methods, materials and devices for approximation of blood volume in a fluid, such as in a biological fluid collected during a surgical procedure. The method and devices may include the use of an RBC flocculant, for example polyDADMAC, and an approximate blood hematocrit from the type of animal blood being evaluated, as well as a calculated RBC packing ratio corresponding to the collection device being used. Also provided is a Blood Indicator Panel (BIP), comprising a series of markings calculated from an observed red blood settlement volume, the average animal blood hematocrit, and a calculated RBC packing ratio “η” value for the collection device. A collection device with a BIP is disclosed. Pediatric (about 200 ml or 250 ml size container), adult human (about 1,000 ml-1,500 ml) and veterinary (about 500 ml-2,500 ml) collection containers are also disclosed, that include a RBC flocculant, for use in approximating blood volume in a fluid.

The invention discloses a combined biological agent and application thereof, and belongs to the technical field of biology. Amino acid and black fungus melanin are combined for intragastric administration to treat iron-deficiency anemia mice, a synergistic effect can be achieved, and the iron-deficiency anemia symptoms of the mice are remarkably improved. Compared with the prior art, the combined biological agent disclosed by the invention can be used for effectively improving blood indexes and intestinal tissue structures of mouse iron-deficiency anemia by regulating and controlling expression of iron transporter, so that the aim of improving symptoms of iron-deficiency anemia is fulfilled. The invention aims at finding a scientific, safe, small-toxic-side-effect and long-term-use iron-deficiency anemia treating agent which is expected to be specifically applied to treatment of iron-deficiency anemia and further replace a traditional iron supplementing agent to become a next-generation novel iron supplementing agent from raw materials with homology of medicine and food.

The invention relates to the technical field of medical health information, and provides a fatty liver risk prediction method and system based on multi-modal data fusion, and the method comprises the steps: analyzing the blood index data of a user through a trained blood index analysis model, and generating a first risk score; processing the liver ultrasonic image data by using the ultrasonic image detection model, and outputting a second risk score; and generating a third risk score through a preset algorithm according to the lifestyle questionnaire data. And then matching and fusing the three scores in pairs: judging the matching property of the blood index and the lifestyle score through a probability product threshold value, evaluating the matching property of the ultrasonic image and the lifestyle score through tissue density difference, and matching the blood score and the ultrasonic score through dimensional conversion and regression analysis. And finally, integrating all matching results, and outputting fatty liver risk level prediction. The accuracy and reliability of fatty liver risk prediction can be improved, and a more comprehensive decision basis is provided for clinical diagnosis and health management.

Techniques for determining stroke risk are provided. In some embodiments, the techniques may involve causing, using one or more light sources disposed on a headset worn by a user, light to be emitted into a head of the user, obtaining, using one or more light detectors disposed on the headset, information indicative of light reflected from one more structures within the head of the user, wherein at least a portion of the obtained information is obtained during a time period of hypercapnic stimulation, based on the obtained information, determining a representation of one or more cerebral blood metrics, providing the representation of the one or more cerebral blood metrics as input to a computational model, and determining a stroke risk score based on output of the computational model.

The invention discloses a feature dynamic screening-based secondary blood index data set generation method and system, and the method comprises the steps: collecting basic information and basic blood indexes of a research object, and carrying out the preprocessing, thereby obtaining an effective sample; dividing into a chronic non-infectious disease-free control group and a target disease group, and carrying out demographic characteristic statistical difference analysis; calculating secondary blood indexes according to the basic blood indexes, and integrating the screened demographic characteristics to generate an enhanced data set; the method comprises the following steps: dividing an enhanced data set into a training set and a test set according to stratified sampling of disease states, synchronously standardizing continuous indexes of the training set and the test set, then screening an optimized feature set with a nonzero coefficient through an adaptive elastic network based on stability selection, and finally performing feature synchronous filtering and integration to form a final data set. According to the method, the problem of model selection difficulty caused by low quality, non-uniform processing flow and feature redundancy of the existing blood multi-dimensional index data set can be solved.

The utility model relates to the technical field of kits, and discloses a kit for detecting blood indexes, which comprises a blood index kit shell, the inner side of the blood index kit shell is fixedly connected with a mounting plate, and the top end of the mounting plate is provided with a mounting hole. The inner side of the blood index kit shell is fixedly connected with a limiting assembly, the outer side of the limiting assembly is fixedly connected with a moving plate, the inner side of the moving plate is movably connected with a blood detection reagent tube, the outer side of the blood detection reagent tube is in threaded connection with a connecting sleeve, and the inner side of a mounting plate is rotationally connected with a rotating assembly. The outer side of the rotating assembly is fixedly connected with a connecting rope with the other end fixedly connected with the outer side of the moving plate. The kit for detecting the blood indexes has the advantages that the taking area of reagents is increased, the reagents can be conveniently taken out from the inner side of the blood detection kit, and the reagents are effectively prevented from being separated.

The application discloses a Chinese crowd PhenoAge prediction model and a construction method thereof. The method comprises the following steps: acquiring a physical examination data set (B1) of at least 50,000 Chinese adults, wherein the physical examination data comprises gender, chronological age and nine blood indexes; pre-processing the physical examination data (C1); calculating the PhenoAge label value of each sample (D1); dividing the samples into a male subgroup (F1) and a female subgroup (G1) according to gender, as shown in elements E1, F1 and G1 in FIG. 1 and FIG. 2; training a male model (H1) and a female model (I1) respectively by using a machine learning algorithm (S3), to obtain a prediction model (T3); and evaluating the model performance (Y3) by using an independent verification set (U3). The application also provides a PA-CRP variant model (G5), and a construction process thereof is shown in FIG. 5, which is suitable for a physical examination scene (H5) in which C-reactive protein is unavailable. The application firstly constructs a PhenoAge prediction model (K1) based on large-scale Chinese crowd physical examination data, solves the crowd specificity deviation problem of the original PhenoAge model in the application of Chinese crowds, and provides a precise tool for individual aging assessment, chronic disease risk prediction and lifestyle intervention effect quantification.

The invention discloses a lung cancer patient prognosis evaluation method and system combining pathological images and blood indexes. The method comprises the steps that reference pathological features and reference blood clinical indexes of a lung cancer patient in different clinical stages are obtained, and a lung cancer stage evaluation model is constructed; acquiring a real-time pathological image and a blood detection report of the target patient, and determining a current lung cancer development stage of the target patient through the lung cancer stage evaluation model; determining the risk attribute of the target patient based on the current lung cancer development stage and determining the blood lymphocyte proportion of the target patient; determining a key blood index of the target patient according to the blood lymphocyte proportion, and outputting a prognosis risk score and a lifetime prediction result of the target patient through a preset survival analysis model according to the key blood index and the multi-scale morphological characteristics. The objectivity, the high precision and the stability of the prediction result are ensured, the interference of human subjective factors is eliminated, and the reliability is improved.

The invention discloses a prediction method and device based on a blood index, equipment, a medium and a product, and relates to the technical field of medical prognosis prediction.The prediction method comprises the steps that the blood index of a target patient and a prognosis evaluation result corresponding to the blood index are obtained, and the blood index is complication index data; according to a first feature data set constructed according to the blood indexes and the prognosis evaluation result, training and reasoning the multiple initial models, and screening out a first prediction model from the initial models based on a reasoning result according to a preset performance evaluation index; screening from the first feature data set based on the contribution value to obtain a second feature data set, and reasoning the first prediction model through the second feature data set to obtain a target prognosis evaluation result corresponding to the second feature data set. The prediction accuracy of the prognosis evaluation result of the complication patient can be improved.

The invention discloses application of urine IGLV3-1 protein and / or a substance for detecting the urine IGLV3-1 protein, and relates to the technical field of diagnosis and treatment of rheumatoid arthritis. According to the method, IGLV3-1 protein detection in urine is used as a marker, during detection, sample collection is noninvasive, simple, convenient and repeatable, morning urine is used as a sample source, and compared with traditional blood index detection, discomfort and risks of puncture blood sampling are avoided. Moreover, ELISA is adopted for quantitative detection, the operation process standard is unified, the result is stable and repeatable, and clinical popularization and batch detection are facilitated.

The invention discloses pediococcus pentosaceus capable of tonifying qi, beautifying skin and improving anemia and a metagen complex thereof, and belongs to the technical field of microbial fermentation. Pediococcus pentosaceus is obtained through screening, thalli and metabiotics of the thalli are obtained through culture, the metabiotics and spina date seed extract form a compound, and the compound shows a synergistic interaction effect, and specifically, compared with an iron-deficiency model group, the movement and various blood indexes of rats are improved, and are close to those of normal rats of a control group. All indexes of rats in the compound group are superior to indexes of corresponding groups of experimental subjects fed with probiotics and independently fed with metabiotics or spina date seeds, and it is indicated that the compound can more quickly promote recovery of the iron content and protein indexes in rat blood. The pediococcus pentosaceus oral liquid has practical value for comprehensive utilization of the pediococcus pentosaceus and the metaplasts thereof, and also has important value in the aspects of tonifying qi, maintaining beauty and improving anemia.

The invention discloses a blood analysis device and method, and the method comprises a body temperature collection step, an information input step, a leukocyte index calculation step, and a venous blood glucose concentration calculation step. The function of analyzing various blood indexes such as the leukocyte index and the venous blood glucose concentration in the blood of the to-be-detected person can be completed by utilizing the multiple body temperature data and the information data of the to-be-detected person, the non-invasive blood analysis function is achieved, the blood detection process is effectively simplified, and the consumed time is short.

To provide a technique that enables easy prediction of weight loss of a subject through dietary management.SOLUTION: A method of the present invention for qualitatively predicting weight loss of a subject through dietary management comprises an acquisition step of acquiring at least one indicator selected from a group consisting of: an indicator computed from physical indicators consisting of the pulse rate and MQP, blood indicators consisting of uric acid concentration and calcium concentration, and answer indicators consisting of answers to questions about awareness and / or behavior regarding irregular meal times; an indicator computed from answers regarding eating behavior self-efficacy scale; and an indicator computed from answers regarding rest behavior self-efficacy scale.SELECTED DRAWING: None

The invention relates to an intelligent management and control method and system for a blood cell separator, relates to the technical field of intelligent control of medical instruments and medical information, and solves the problems that the effectiveness of a separation scheme is insufficient and the risk of complications is increased due to the fact that individual differences of patients cannot be accurately adapted. Inputting the blood indexes of the patient into a preset deep neural network, selecting an adaptive scheme from a plurality of preset subdivision separation modes, generating an initial centrifugal parameter combination, and dynamically adjusting a centrifugal rotating speed and an acceleration parameter according to a preset frequency by adopting a model prediction control algorithm in combination with data collected in real time and a separation process dynamic model; and monitoring state variables and sensor data of the dynamic model in the separation process in real time, and when monitoring parameters deviate from a preset range, starting a parameter compensation mechanism corresponding to the abnormal type. The method has the following effects that individualized precise control and real-time optimization of blood cell separation are achieved, and safety and efficiency are improved.

The invention discloses a colorectal cancer preoperative prognosis prediction method and device, and the method comprises the steps: calculating a systematic inflammation index and a body composition index of a target based on obtained object preoperative baseline data, the baseline data comprising basic clinical data, blood indexes and abdominal CT images; carrying out importance evaluation on the target systemic inflammation index, the body composition index and the basic clinical data, carrying out dimensionality reduction and regularization processing on the evaluated indexes, and screening to obtain a target index; and constructing a comprehensive prognosis prediction model based on the target index, and outputting a target risk score through the comprehensive prognosis prediction model so as to carry out preoperative prognosis prediction. According to the application, the scientificity, accuracy and intelligent level of preoperative risk prediction of the colorectal cancer patient are improved.

The invention provides a method for analyzing the growth performance of Tan sheep by using blood big data, and belongs to the field of data analysis and utilization. The method comprises the following steps: carrying out growth factor treatment on the Tan sheep; selecting a plurality of stages in the processing, respectively collecting a jugular vein blood sample in each stage for analysis, and collecting growth data for analysis; and judging whether the growth factor treatment has a promoting effect on the growth performance of the Tan sheep or not by combining the growth factor treatment, the blood indexes and the growth data. According to the method, whether the detected growth factor processing has a promoting effect on the growth performance of the Tan sheep is comprehensively judged through blood indexes and growth data, the effects of the growth performance of the Tan sheep of various growth factors can be effectively evaluated, and a systematic evaluation standard is established.