49 results about "Disease characteristics" patented technology

A system and method for detecting, diagnosing, and monitoring a disease and determining a disease signature including accessing patient deviation scores indicative of differences between patient data and reference data representative of a population segment, the patient deviation scores derived from longitudinal patient data such that the patient deviation scores include a plurality of sets of patient deviation scores, each set indicative of differences between patient data collected at a respective point in time and the reference data. The system and method also includes identifying a trend in the patient deviation scores for at least one clinical parameter, generating a report including a visual indication of the trend, and outputting the report. The report includes one or more views including Z, T, D, DT, and D feedback on T views, using image and non-image data.

A digital test system for detecting the dynamic variation of two pupils is composed of a hardware system consisting of light isolating eye mask, miniature camera, focus distance and pupil distance regulator, image acquisition card and computer, and a software system comprising the image acquiring, extracting and storing module, image and video playback module, database and its management module, light stimulating program module, disease characteristics database module, expert database module, and expert judgment and management module.

The invention relates to a method for the in vitro diagnosis of Alzheimer's disease using a monoclonal antibody. Said antibody can bind at least to amino acids 12-16 of the β-amyloid peptide, specifically detecting the neuritic plaques which are characteristic of Alzheimer's disease, without detecting diffuse plaques which are not defining characteristics of the disease. Within the neuritic plaques, the monoclonal antibody can detect a different sub-group in the composition of the different deposited isoforms of the β-amyloid peptide, which is associated with the disease progression stage. In addition, the antibody can bind to isoforms of the β-amyloid peptide in biological fluids such as urine. As a result, the inventive monoclonal antibody, the cell lines that produce said antibody and compositions containing same can be used in the in vitro diagnosis of Alzheimer's disease and in determining the disease progression stage.

The invention discloses a construction method and application of a retinal neovascularization disease model, and relates to the field of biotechnology. The construction method knocks out the Tmem30a gene sequence in the genome of the target animal vascular endothelial cells, so that the target animal exhibits the typical retinal neovascularization disease characteristics. The target animal can beused as a model of retinal neovascularization disease, which can help to clarify the pathogenesis and mechanism of retinal neovascularization disease, and provide a new target for the treatment or prevention of retinal neovascularization disease.

Methods are disclosed for distinguishing whether an animal is experiencing a bacterial infection or a viral infection. One monitors breath taken from the animal over time to measure the relative amount of a first breath stable isotope to a second breath stable isotope therein over time. A quick change in the isotope ratios within several hours from the likely infection is indicative of a bacterial infection. A delayed change in the isotope ratios, followed by periodic repeated alterations in the ratios, is indicative of viral infection. The methods are particularly efficient when using cavity ringdown spectroscopy for the monitoring. They may be used for monitoring a patient already admitted to a hospital, or for monitoring a patient initially complaining of adverse symptoms, or for triage, or for collectively monitoring a population of animals.

Methods are disclosed for distinguishing whether an animal is experiencing a bacterial infection or a viral infection. One monitors breath taken from the animal over time to measure the relative amount of a first breath stable isotope to a second breath stable isotope therein over time. A quick change in the isotope ratios within several hours from the likely infection is indicative of a bacterial infection. A delayed change in the isotope ratios, followed by periodic repeated alterations in the ratios, is indicative of viral infection. The methods are particularly efficient when using cavity ringdown spectroscopy for the monitoring. They may be used for monitoring a patient already admitted to a hospital, or for monitoring a patient initially complaining of adverse symptoms, or for triage, or for collectively monitoring a population of animals.

The invention relates to a method and device for a diagnosing chronic obstructive pulmonary disease based on a knowledge graph, computer equipment, and a storage medium. The method includes the steps:acquiring user attribute information of a user, wherein the user attribute information includes features of the disease and personal information of the user; extracting an attribute keyword in the user attribute information; matching the attribute keyword with a preset chronic obstructive pulmonary disease knowledge graph to obtain a disease probability corresponding to the user attribute information; and when the disease probability is greater than a preset threshold, determining a treatment plan corresponding to the user attribute information. The method for a diagnosing chronic obstructivepulmonary disease based on a knowledge graph can be used to accurately diagnose the problem of the chronic obstructive pulmonary disease.

The invention discloses a medical information query method, device and system. The method comprises the following steps: obtaining a keyword input by a user and used for expressing disease characteristics; inquiring a cure case matched with the disease characteristics from an information library according to the keyword, wherein cure cases of diseases cured after treatment are stored in the information library in advance, and the cure cases further comprise treatment schemes; and outputting and displaying the treatment schemes of the cure cases matched with the disease characteristics. By adoption of the medical information query method, device and system, a user can master the cure means and medication information of corresponding diseases according to the displayed cure cases, and master the diseases and corresponding treatment measures.

The present invention provides one kind of computerized disease sign analysis system based on tongue picture characteristics. The computerized disease sign analysis system completes: extracting and analyzing color characteristics; extracting and analyzing grain characteristics; extracting and analyzing tongue shape characteristics; extracting and analyzing tongue petechia characteristics; extracting and analyzing tongue moistness and dryness characteristics; etc. The present invention features that syndrome complex and diseases are analyzed based on different syndrome complex and disease characteristics and according to different diagnosis models, and the experiments are completed in relatively great sample set, so as to obtain satisfactory diagnosis result. The present invention is used in the quantification, standardization and automation of Chinese medicine diagnosis.

Certain examples provide systems and methods for holistic viewing to provide comparative analysis and patient treatment decision support in a drug therapy development process. A computer-implemented method for developing a therapeutic drug treatment plan for a patient using quantifiable comparative holistic decision support. In addition, the inventive may also be summarized as a computer-implemented method for developing a therapeutic drug treatment plan for a patient using quantifiable comparative holistic decision support for a known disease signature corresponding to a subject medical condition of a patient.

A method of determining potential treatment sites in a diseased lung is disclosed, in which an assessment catheter is introduced into a lung passageway. The catheter has a distal portion comprising an occluding member and a proximal portion configured to operatively mate with an external console. The catheter is used to identify one or more assessment sites within the airways of the lung. At each assessment site, at least one physiological, anatomical or biological characteristic is determined. A characteristic score for each assessment site is calculated based on a predetermined algorithm; and a treatment is determined based on the scores of the assessment sites. The algorithm takes into account several parameters including the disease characteristics as well as the number and proximity of each assessment site to at least one of the diseased regions. The method envisages treatment of emphysema, asthma or bronchopleural leak.

The invention discloses a medical record analysis method and device, a server and a storage medium. The medical record analysis method comprises the steps: obtaining a medical data set of a hospital when a medical record analysis triggering event is detected, wherein the medical data set comprises all related record information of a patient seeing a doctor in a hospital; and associating an HIS expense system, performing medical record analysis on the medical data set from the patient dimension, the disease category dimension, the operation information and the hospitalization condition, and generating a medical record analysis report from a medical record analysis result according to a preset report template and indexes, wherein the medical record analysis comprises disease characteristics,a diagnosis basis, differential diagnosis and a diagnosis and treatment plan. According to the medical record analysis method, hospital medical data real-time updating and comprehensive medical record analysis can be realized.

The invention provides a method and device for recommending doctors according to patient condition information. The method comprises the steps: acquiring the patient condition information; extractingdisease characteristics in the patient disease information; acquiring disease characteristics matched with the disease characteristics; selecting suspected diseases corresponding to the acquired disease characteristics; obtaining disease characteristics to be selected from the disease characteristics corresponding to the suspected disease; receiving a patient-selected supplemental condition feature; selecting and inferring diseases according to the supplementary disease characteristics and the acquired disease characteristics; extracting recommended doctors, skilled diseases and ability evaluation of the skilled diseases for recommendation according to the inferred diseases, wherein the obtained supplementary disease characteristics provide more bases for disease deduction, so the result of disease deduction through the corresponding relationship between the disease and the disease characteristics is more accurate; the accuracy of recommended doctors is improved, and the proper doctorscan be conveniently selected according to the illness state of the patient.

The invention belongs to the technical field of experimental model building, and relates to a duplication method of a rat continuous hyperuricemia model. The method comprises the following four steps:animal selection, adaptive feeding, model building and model application; the method comprises the following specific steps: performing adaptive feeding on selected healthy rats in a clean animal feeding room for 1 week, and ensuring that rats with normal morphological characteristics are used for building a model; and injecting 500 mg.kg<-1> uricase inhibitor oteracil potassium to the rats withnormal morphological characteristics at room temperature every day in an intraperitoneal injection administration manner, and meanwhile giving 10 percent fructose drinking water and sufficient diet for 24 hours without interruption. Administration to rats and molding are continuously performed every day, and administration is continued for 3 weeks, a sample rat hyperuricemia model is obtained; andthe built rat hyperuricemia model is applied, so that a hypeluricemia model with typical disease characteristics is obtained. The method is simple to operate, and short in duplication cycle, can ensure that the hyperuricemia level of the rats can be obviously improved, can further properly simulate the clinical features of hyperuricemia, and has a good application prospect.

The invention relates to a cardiovascular disease detection device and relates to the technical field of medical devices. The technical scheme adopted by the invention is that the cardiovascular disease detection device comprises an inspection operator and a scanning detector, wherein an inspector screen is arranged on an inspection operation table; an inspection operation panel is arranged on the lower side of the inspector screen; an inspection operation keyboard is arranged on the inspection operation panel; an inspection indicating lamp is arranged on the inspection operation keyboard; an inspector screen switch is arranged on the right lower side of the inspection operation panel; an object storage cabinet is arranged on the lower side of the operation panel; a door handle is arranged on the object storage cabinet. The cardiovascular disease detection device is complete in functions, safe and efficient, adopts a comprehensive physical examination method to inform physical examinees of nutritional ingredients, blood flow, disease characteristics and other situations in human bodies and is simple in process, convenient to operate and more purposeful and targeted in prevention, and moreover, the workload of medical personnel can be reduced.

The present disclosure generally pertains to a method for developing diagnostic tests that are based on the immune response and the resulting immune repertoire. The presently disclosed method increases the signal and reduces the background to allow the identification of shared CDR3s that can be used to produce a disease signature. The presently disclosed method may be used to develop a diagnostic test for different diseases including, but not limited to, cancer, autoimmune disease, inflammatory disease and infectious disease.

The invention discloses a digital massage suit system customized according to a disease and a bodily form and method. The system comprises a digital massage suit cover, an intelligent terminal and a service platform. An underwear cover, a lock catch and a feature code are arranged in the digital massage suit cover. Massage positions are determined by using a digital positioning technology, and underwear, foot sleeves, head sleeves, gloves and earmuffs are respectively manufactured according to bodily form customization. The lock catches comprise seven kinds of plane buckles, massage heads, magnetic heads, medicine heads and the like. And a digital coding technology is applied, so that the disease prevention and treatment performance is greatly improved, and digitization and standardization of the massage suit cover are realized. And a therapeutic massage APP is installed in the intelligent terminal. By scanning the feature codes, the content of the product can be displayed, and interactive communication and consultation with the service platform are realized. And the service platform masters disease characteristics and bodily form characteristics of the user and recommends a plurality of products. The system is customized according to diseases and bodily forms, and has the advantages of high disease prevention and treatment performance, high effective rate, accurate massage, convenience in operation and use, low cost and huge market demand.

The invention relates to an auxiliary consultation system based on a decision tree, and the system comprises the steps: obtaining diagnosis criteria of skin diseases, and determining collection indicators according to the diagnosis criteria; determining a logical relationship among the collection indicators, and determining a position sequence of the collection indicators in a form according to serial numbers and the logical relationship; according to the position sequence, generating a form of the collection indicators; after the form is generated, obtaining feedback information based on the form and getting an auxiliary inquiry result according to a preset decision tree and the feedback information. According to the system provided by the invention, the collection indicators in the form and the position sequence of the indicators in the form are dynamically determined based on a current patient, so that a strong correlation between the form content and the current patient is ensured, different forms can be provided for different patients, and the form can accurately reflect the disease characteristics of the current patient, so that the result of the whole set of auxiliary inquiry system is ensured to be more accurate.

The invention discloses a construction method and application of a retinal neovascularization disease model, and relates to the field of biotechnology. The construction method knocks out the Tmem30a gene sequence in the genome of the target animal vascular endothelial cells, so that the target animal exhibits the typical retinal neovascularization disease characteristics. The target animal can beused as a model of retinal neovascularization disease, which can help to clarify the pathogenesis and mechanism of retinal neovascularization disease, and provide a new target for the treatment or prevention of retinal neovascularization disease.

The invention discloses a method and system for classifying and maintaining bridge diseases. The method comprises the following steps: S1, storing information of each component and its components of various bridge structures, and disease information of each component and its components that may occur in a database; S2, determining various influencing factors caused by the disease and their weights; S3, calculating the disease grade score of each component and its components, obtaining the disease grade and storing the disease grade in the database; S4, allowing the client to receive the disease information and the disease characteristics of the disease of a component or a component input by the user, and sending a query request to the server; S5, allowing the server to query the database according to the inquiry request, and obtaining the disease grade, the maintenance suggestion and the treatment recommendation measures corresponding to the disease. The method and the system providedby the invention can synthetically consider a plurality of influence factors according to various diseases occurring in various bridge components, classify each disease occurring in different components, and make the later maintenance decision more scientific.

The embodiment of the invention provides a knowledge graph construction and use method and devic and a medium. The method comprises the following steps: establishing association between disease feature entities and disease entities in a knowledge graph, the attributes of the disease entity comprise at least one of the following attributes: a disease identification attribute, a disease system attribute, a feature set attribute, a clinical proportion attribute and a high-incidence age attribute; the feature set comprises disease features associated with disease feature entities; the attribute parameters of the feature set attributes comprise conditional probabilities of the disease features under disease conditions and / or penalty factors of the disease features under the disease conditions; the clinical proportion attribute is used for representing the incidence probability of a disease in a disease system; the disease system attribute corresponds to a system probability and is used for representing the proportion of a patient of a single disease system to patients of all disease systems. According to the embodiment of the invention, the distinction degree among various diseases matched with the disease characteristics of the user can be improved.

The invention discloses a preparation method of a gastrointestinal motility disorder animal model. SPF-grade 7-week rats are adopted, the rats with half males and half females are marked, and each rat corresponds to a fixed serial number; the rats are divided into 5 big groups equally by a random number table method, the first four groups are divided into three small big groups according to different observation time, 6 rats are in each small group, intervening measures with different duration are taken by 20 percent (w / v) L-Arg salt solution, and the experimental results are collected and analyzed; and the optimal preparation scheme of the gastrointestinal motility disorder animal model is finally obtained. The preparation method of the gastrointestinal motility disorder animal model has the advantages of simple preparation method, definite quality control index, long maintaining time, low preparation cost, appropriate disease characteristics and unique modeling mechanism.

The embodiment of the invention discloses an intelligent traditional Chinese medicine four-diagnostic-method information fusion system and method and a storage medium. The system comprises a voice collector which is used for collecting and recognizing voice information sent by a user; a processor which is used for converting the voice information into text information and matching disease condition analysis results and treatment measures corresponding to the disease characteristics in the text information from a pre-constructed medical database; and a voice player which is used for playing thedisease condition analysis result and treatment measures of the patient to the user. By means of the mode, even if a patient cannot effectively communicate with a doctor in time at present, the disease condition can be analyzed in a self-service mode through the intelligent traditional Chinese medicine four-diagnostic-method information fusion system, and meanwhile certain treatment measures canbe obtained to relieve the disease condition of the patient. In addition, the system is not only suitable for patients, but also suitable for doctors. If the doctor does not determine how to diagnosethe disease condition which is not known before, a certain solution can be sought through the intelligent traditional Chinese medicine four-diagnosis information fusion system.

The invention provides a knowledge graph based acupuncture and moxibustion decision support method and apparatus. The method comprises the steps of marking medical information entities of acupuncture and moxibustion points and acupuncture and moxibustion concepts belonging to the medical information entities in a large amount of acupuncture and moxibustion treatment literatures to obtain an acupuncture and moxibustion knowledge graph; and extracting medical information entities involved in medical record information of patients and acupuncture and moxibustion concepts belonging to the medical information entities from a large amount of acupuncture and moxibustion medical records to obtain a medical record marking graph, combining a marking combination of the acupuncture and moxibustion literatures with the consistent acupuncture and moxibustion concepts with a marking combination of the acupuncture and moxibustion medical records to form an acupuncture and moxibustion-medical record knowledge graph, inputting disease characteristics of a target patient, and searching for a diagnostic decision from the acupuncture and moxibustion-medical record knowledge graph. The medical information is pre-marked, so that decisions not conforming to a conventional medical principle can be reduced and an accurate acupuncture and moxibustion decision support can be provided for users; and not only medical records and later treatment situations of patients similar to those of doctor-seeing patients but also a complete acupuncture and moxibustion knowledge network can be provided for physicians, so that the knowledge query demands of the physicians are met.

The invention discloses a colorectal cancer risk screening method and system based on a decision tree, and the method comprises the steps: obtaining a historical medical record data set of a first department; taking a preset screening age as a first screening feature, taking a polyp definite medical record as a second screening feature, and taking a family medical history disease as a third screening feature; obtaining a first feature information entropy, a second feature information entropy and a third feature information entropy in sequence through information theory coding operation; inputting the first root node feature into a numerical value comparison model to obtain a first root node feature; constructing a colorectal cancer screening decision tree; obtaining an initial medical record of the first user; inputting the image into a colorectal cancer screening decision tree to obtain a first screening result; and reminding the first user to screen the condition of the colorectal cancer. The technical problems that in the prior art, based on the disease characteristics of the colorectal cancer, massive user medical records cannot be efficiently and rapidly screened, potential hazards of the colorectal cancer cannot be found as early as possible, and user treatment is delayed are solved.

The invention provides a multi-resistance flue-cured tobacco three-cross breeding method. First, the conventional germplasm material A or its male sterile line B with good quality and comprehensive economic traits and resistance to red spot, black shank and bacterial wilt was used as the female parent. The conventional germplasm material C of climate spot, black shank and bacterial wilt is the male parent, and the single-cross combination A / C or B / C is used; The conventional variety D for black shank and bacterial wilt is the male parent, the single-cross combination B / C is the female parent, and the three-cross hybrid B / C / / D is prepared, or the male sterile line E of the conventional variety D is the female parent In this paper, the single-cross combination A / C was used as the male parent to prepare a three-cross variety E / / A / C. The method can effectively integrate the excellent genes of different parental materials, and the bred three-cross variety has the characteristics of good quality, wide adaptability, good comprehensive economic properties, and resistance to various root and stem diseases and foliar diseases.