Product
Patsnap Eureka
For R&D, Patsnap Eureka makes reading and utilizing patents & technical documents easy.
Patsnap Eureka AIR
Designed for self-driven R&D workflows. Generate viable solutions, solve complex R&D challenges, empower your innovation with AI.
Patsnap Eureka Materials
Designed for material experts only. Revolutionize your material R&D, from search, analyze, to developing new materials.
Feature
TechResearch
Generate reliable direction feasibility study reports for your R&D in just a few steps.
TechSeek
Discover and master advanced knowledge NOW. Basics, ideas, possibilities, all at once.
TechMind
As an expert in R&D Theories, TechMind can generates customized viable solutions instantly.
TechRisk
Analyze your overall solution with one click, know your potential R&D risks in advance.
TechMonitor
Get weekly tech updates, stay abreast of the latest tech innovations and key insights.
Patents
Literature
Hiro is an intelligent assistant for R&D personnel, combined with Patent DNA, to facilitate innovative research.
49 results about "Patient classification" patented technology
Efficacy Topic
Property
Owner
Technical Advancement
Application Domain
Technology Topic
Technology Field Word
Patent Country/Region
Patent Type
Patent Status
Application Year
Inventor
The Patient classification system (PCS), also known as patient acuity system, is a tool used for managing and planning the allocation of nursing staff in accordance with the nursing care needs. Thus, PCS is used to assist nurse leaders determine workload requirements and staffing needs.
Method for detecting Cheyne-Stokes respiration in patients with congestive heart failure
The present invention provides a diagnostic tool for detection of Cheyne-Stokes Respiration (CSR). This invention also provides a method for development of the diagnostic tool. The method comprises the steps of performing overnight oximetry recordings in patients suspected of sleep disordered breathing. Spectral analysis is performed on the oximetry recordings to obtain a set of parameters which can be used in the construction of a classification tree and a trained neural network. The diagnostic tools of the present invention can be used for classification of a patient as having CSR or obstructive sleep apnea.
Owner:THE GOVERNMENT OF THE UNITED STATES OF AMERICA AS REPRESENTED BY THE DEPT OF VETERANS AFFAIRS +1
System and method for managing patient triage in an automated patient management system
A system and method for managing patient triage in an automated patient management system is presented. A criteria for placement of patient data into a display is defined for a plurality of remotely managed patients. The patient data originates from one or more patient data sources operating on each such patient and selected from at least one of a physiological sensor and a therapy delivery device. An ordering of the patient data within the display is defined based on a need of care in relation to one or more of a type of health condition, severity of the health condition, and facilities available to attend to the health condition. An organization of the patient data within the display is defined in relation to metadata associated with the patient data.
Owner:CARDIAC PACEMAKERS INC
Method and system for recording carious lesions
InactiveUS7343305B2Efficiently and effectively chartEfficient and reliableTeeth fillingDiagnostic recording/measuringDental patientsDisease
A method and system is provided for charting tooth decay to assist in caries management. Specifically, the invention provides a computer system, a Graphical User Interface(GUI), a method, and associated computer code for presenting an interactive tooth chart comprising selectable, anatomically correct tooth icons corresponding to a dental patient's teeth. The invention allows a user to select regions of each individual tooth icon to record the condition of the selected region. According to the invention, a dental patient is selected from a patient data base, the patent's teeth are examined, and the condition of each tooth region is recorded using selectable icons. The invention further provides automatic characterization of dental conditions based on standard values and previously recorded conditions to indicate progression of disease. In an alternative embodiment, the invention provides a recommended course of clinical management based on the information recorded. In another embodiment the invention automatically classifies patients into risk categories and provides suggested x-ray exam intervals. Thus, particular advantages of the current invention include ease of recording dental conditions, more accurate dental charting, and automatic analysis of recorded dental data, advantageously resulting in better patient care and more efficient use of a dental care provider's time.
Owner:FLORIDA RES FOUND INC THE
Machine learning clinical decision support system for risk categorization
ActiveUS20170140114A1Increased riskEfficient targetingEnsemble learningMedical automated diagnosisMedical recordRisk categorization
Improved risk categorization is provided for clinical decision support and forecasting future health care spend. A risk index is provided that improves on other risk stratification models by synthesizing electronic medical records and health questionnaires with an individual patient's claim histories. Machine learning algorithms catalogue patients into distinct group clusters, based on risk which may be associated with annual health care spending, thereby enabling administrators to forecast future health care spending on the individual and population level.
Owner:CERNER INNOVATION
Computational pathology systems and methods for early-stage cancer prognosis
ActiveUS20170270666A1Reduce computing costInformed choiceImage enhancementImage analysisComputational pathologyLow risk group
The subject disclosure presents systems and computer-implemented methods for providing reliable risk stratification for early-stage cancer patients by predicting a recurrence risk of the patient and to categorize the patient into a high or low risk group. A series of slides depicting serial sections of cancerous tissue are automatically analyzed by a digital pathology system, a score for the sections is calculated, and a Cox proportional hazards regression model is used to stratify the patient into a low or high risk group. The Cox proportional hazards regression model may be used to determine a whole-slide scoring algorithm based on training data comprising survival data for a plurality of patients and their respective tissue sections. The coefficients may differ based on different types of image analysis operations applied to either whole-tumor regions or specified regions within a slide.
Owner:VENTANA MEDICAL SYST INC
Medication dosing system based upon patient classification codes
InactiveUS20090149815A1Reduce the possibilityData processing applicationsInfusion syringesMedication doseStandardization
Medication dosing system for one or more medications based on patient classification codes and standardized dosage units, where the patient classification codes are correlated with one or more characteristics of the patient, such as weight or age, and each medication is formulated so that the dosage unit for the classification code contains the recommended amount of medication for patients within that classification code.
Owner:CODADOSE
Automatic Parkinson's disease identification method based on multimode hyperlinks network modeling
PendingCN108229066AEasy to classifyStrong generalizationCharacter and pattern recognitionDiagnostic recording/measuringSupport vector machineFeature set
The invention provides an automatic Parkinson's disease identification method based on multimode hyperlinks network modeling. The method includes: the DTI structure connection is used as the constraint and fused into the building process of an fMRI brain function network to build a multimode hyperlinks network model; node degree, edge degree and fit degree are extracted according hypernet featuresto serve as the original feature set, a multitask feature selection method (semi-M2TFS) is used to perform optimal feature subset screening on the original feature set to obtain the feature subset indicating the maximum difference degree between a Parkinson's disease patient and a normal person; a multi-core support vector machine pattern classifier is trained according to the optimal feature setand applied to Parkinson's disease patient classification diagnosis. Compared with an existing single-mode hyperlinks network modeling method, the method has the advantages that the multimode hyperlinks network can truly reflect the brain function connection mechanism and is excellent in classification identification accuracy and significant to the assisting of Parkinson's disease clinical diagnosis and automatic identification.
Owner:BEIHANG UNIV
Cancer classifier models, machine learning systems and methods of use
PendingUS20200005901A1Increased riskImprove performanceMedical data miningEnsemble learningMedicineOrgan system
Disclosed herein are classifier models, computer implemented systems, machine learning systems and methods thereof for classifying asymptomatic patients into a risk category for having or developing cancer and / or classifying a patient with an increased risk of having or developing cancer into an organ system-based malignancy class membership and / or into a specific cancer class membership.
Owner:20 20 GENESYSTEMS INC
System and methods of improved human machine interface for data entry into electronic health records
PendingUS20180114288A1Simple interfacePowerfulOffice automationSpecial data processing applicationsMedical recordTriage
This disclosure provides an efficient, hands-free system and method for capturing and recording patient data in critical care environments. The systems and methods described herein enables clinicians to record and transcribe patient information onto a disposable medical record tag (akin to a military ID tags), which accompanies the patient throughout initial stabilization and presentation to a treatment center. A Pre-Hospital Treatment & Triage (PHT) guidance system, visible in the HMD, can guide caregivers and / or first responders through treating the patient and documenting a patient's medical condition and treatment status, and triaging patients to the appropriate level of care. The head-mounted display can wirelessly transfer the patient's treatment data to a lightweight disposable data tag, referred to as an electronic TCCC (E-TC3) that is affixed to the patient. The data tag digitally stores a patient's health status, and displays a specific color based on a patient's degree of injury.
Owner:BIO1 SYST INC
Episode treatment groups of correlated medical claims
InactiveUS20080021742A1FinanceComputer-assisted treatment prescription/deliveryDiseaseRecurrent episode
Owner:INGENIX INC
Computer-implemented method for grouping medical claims with clinically representative dynamic clean periods
InactiveUS20070021988A1FinanceComputer-assisted treatment prescription/deliveryData miningComputer science
A computer-implemented method for profiling medical claims to assist health care managers in determining the cost-efficiency and service quality of health care providers. The method allows an objective means for measuring and quantifying health care services. An episode treatment group (ETG) is a patient classification unit, which defines groups that are clinically homogenous (similar cause of illness and treatment) and statistically stable. The ETG grouper methodology uses service or segment-level claim data as input data and assigns each service to the appropriate episode. The program identifies concurrent and recurrent episodes, flags records, creates new groupings, shifts groupings for changed conditions, selects the most recent claims, resets windows, makes a determination if the provider is an independent lab and continues to collect information until an absence of treatment is detected.
Owner:INGENIX INC
Transferable patient classifying system based on RNN neural network
ActiveCN110111901AImprove accuracyAchieve migrationMedical data miningNeural architecturesMedical recordData set
The invention belongs to the field of medical data mining, and discloses a transferable patient classifying system based on the RNN neural network. The system comprises an input module, a data processing module and a classifying module. The input module is used for acquiring original medical record data. The data processing module comprises a data preprocessing unit and a patient time sequence generating unit and is used for converting the original medical record data which are read by the input module to a patient time sequence. The classifying module comprises a model establishing unit, a model predicting unit, a migrating unit and is used for combining the RNN neural network with an attention mechanism for constructing a patient classifying model, then inputs the patient time sequence obtained by the data processing module into the model for training, and finally migrates the trained model to different data sets for performing patient classification prediction. The transferable patient classifying system has advantages of constructing the patient classifying model through mining the electronic medical record data, and assisting a doctor in diagnosis and treatment through performing patient death risk classification in different medical data sets.
Owner:HUNAN UNIV
System and method to maintain health using personal digital phenotypes
A system and method for identifying and treating a disease in a patient collects one or more data streams from sensors configured to detect biological signals generated within a patient's tissue over time. Patient data elements including one or more of demographic, clinical, laboratory, pathology, chemical, image, historical, genetic, and activity data for the patient is collected and processed with the data streams to generate a personalized digital phenotype (PDP). The PDP is compared to a digital taxonomy comprising prior data to classify the patient into one or more quantitative disease classifications to guide personalized intervention for treating the patient.
Owner:THE BOARD OF TRUSTEES OF THE LELAND STANFORD JUNIOR UNIV
Cardiovascular disease data acquisition and triage platform
InactiveCN107887010AEasy to wearGood for going outDiagnostic recording/measuringSensorsTriageData acquisition
The invention discloses a cardiovascular disease data acquisition and triage platform which comprises a database server, and a data collection system and a patient disease classification system connected to the data collection system. The data collection system is used to collect cardiovascular symptom data of a patient end, and comprises a wearable electrocardio collection terminal and a patientsymptom information collection terminal; the wearable electrocardio collection terminal is provided with a man-machine dialogue system based on a patient data collection model; the patient data collection model is a hierarchical model of a tree-shaped structure; and the patient disease classification system carries out patient classification analysis on the collected cardiovascular symptom data, and comprises a CNN (convolutional neural network) data analysis unit and a long and short memory neural network data analysis unit, the CNN data analysis unit inputs an oscillogram, and the long and short memory neural network data analysis unit inputs text information. According to the platform, an artificial intelligence classification technology is applied, and the triage accuracy is improved.
Owner:天津中科爱乐芙医疗科技有限公司
System and Method for Improving Communications with a Patient
InactiveUS20070250349A1Facilitate communicationFast informationData processing applicationsComputer-assisted medical data acquisitionMedical recordTyping Classification
The present invention provides a method and system for improving interpersonal communications with a individual based on an understanding of the individual's personality type. In a preferred embodiment, the method and system are directed to communications between a health care professional and a patient. The method including conducting an analysis of a patient's personality, recording the results of the analysis, classifying the patient in one of a plurality of pre-determined personality type classifications based on the results of the analysis, and annotating the medical records of the patient to identify the patient's personality type classification for reference prior to communicating with the patient. The system of the invention includes a questionnaire for completion by a patient for determining a personality type classification for the patient. Patient file stickers identifying the personality type of the patient are also provided for attachment to the medical records of a patient.
Owner:TIEGER PAUL D
Emergency pre-examination classification system based on medical system data sharing system
InactiveCN106101119AEasy to manage storageRealize wireless transmissionData processing applicationsClosed circuit television systemsTransmission protocolHuman–machine interface
The invention provides an emergency pre-examination classification system based on a medical system data sharing system. The system comprises a video image collection module which collects video images from an ICU monitoring device by employing video interfaces of different models; a data transmission module which transmits the collected video images to a monitoring data collector according to a set transmission protocol; a data processing module which carries out image recognition processing on the received video images, thereby obtaining editable character data; a data transcoding module which transcodes the received character data and uploads the data to a management server or a cloud platform; and a data table output module which automatically generates an emergency patient illness state classification table according to the monitoring data of the ICU monitoring device mounted on a 120 emergency ambulance. According to the system, irregular and complicated video signals on a human-computer interface can be converted into editable character data which is easy to manage and store, effective patient classification strategies are provided for a hospital manager, and the doctor-seeing efficiency of patients is improved.
Owner:上海信麟信息科技有限公司
Schedule optimization and online booking system for healthcare practices
A system and / or process for scheduling patients in a medical practice may be adapted to achieve a set of predetermined scheduling goals of the practice. Such a system may involve collecting a set of scoring parameters for scoring a patient and assigning a numerical quantity to each scoring parameter according to a set of predetermined scoring rules. A patient score may be calculated as an average of the scoring parameters. A set of patient score ranges may be defined to categorize patients into a set of classes (i.e. patient buckets) based on their score. Time ranges may be defined relative to the present time (i.e. time of scheduling) wherein each range is associated with a set of scheduling rules governing the allowed ratio of patients from each patient bucket. A patient may be assigned to a given appointment time slot provided that no scheduling rules are violated thereby.
Owner:ALLSCRIPTS HEALTHCARE
Gene network analysis-based disease subtype prediction system
The invention relates to a gene network analysis-based disease subtype prediction system. The system is divided into the following three modules: a data acquisition and preprocessing module; a patientclassification and disease subtype prediction module; and a result display module; the patient classification and disease subtype prediction module includes a gene network gene node vectorization sub-module, a disease patient vectorization sub-module, and a disease subtype prediction sub-module.
Owner:HANGZHOU NORMAL UNIVERSITY
Biomarkers for identifying patient classes
ActiveUS20120178632A1Promote stratificationEasy to getMicrobiological testing/measurementLibrary screeningSecond-line therapyRefractory cancer
Disclosed are methods for classifying a patient with cancer as a candidate for therapy with a Bcl-2 family inhibitor comprising determining the level of at least one biomarker in a sample and comparing the biomarker level to a threshold level. Also described are methods for identifying classes of patients having a refractory cancer for second-line therapy comprising a Bcl-2 family inhibitor, where the method comprises determining the level of at least one biomarker in a sample and comparing the biomarker level to a threshold level.
Owner:ABBVIE INC
Automatic detection of mental health condition and patient classification using machine learning
ActiveUS20210090733A1Easy to understandNatural language analysisHealth-index calculationMedicineMental well-being
Methods and systems are provided for detecting a mental health condition. Structured and unstructured information is analyzed using natural language processing to extract information including clinical data values and medical concepts pertaining to a user. Reference medical information is evaluated using natural language processing to correlate medical data with mental health conditions. A classification for a mental health condition of the user is determined using a machine learning model and based on the extracted information and correlations, wherein the extracted information includes blood analysis for the user. The user is assigned to a segment of users based on the extracted information. A treatment for the mental health condition of the user is indicated based on the classification and the assigned segment of users.
Owner:MERATIVE US LP
Biomarkers for identifying patient classes
ActiveUS8748108B2Promote stratificationEasy to getOrganic active ingredientsBiocideSecond line treatmentBiologic marker
Owner:ABBVIE INC
Assessing patient risk of an acute hypotensive episode with vital measurements
InactiveUS20160143596A1Improve forecast accuracyMedical data miningHealth-index calculationPatient riskPresent method
What is disclosed is a system and method for assessing patient risk for an occurrence of an acute hypotensive episode within the timeframe of a prospective prediction window using multiple vitals to improve predictive accuracy. In one embodiment, the present method involves the following. A training set is retrieved from a database. The training set comprises vital measurements for a plurality of intensive care patients. Each vital measurement xt has been obtained at time t, where t=1, . . . , N, and N is the number of measurements obtained for that patient, with t being reckoned from a start of the vital measurement at pre-defined time intervals. The training set is used to train the present classifier system. The classifier classifies a yet unclassified patient into a first at risk for an acute hypotensive episode or into a second class not at risk for the occurrence of an acute hypotensive episode.
Owner:XEROX CORP
Siltation reduction system for reservoir
InactiveCN105089006AExpand the scope of precipitation traceability and scourImprove sand removal effectBarrages/weirsStream regulationEngineeringHydraulic engineering
The invention provides a siltation reduction system for a reservoir, relates to a general water conservancy project, and in particular to system engineering for reducing siltation of the reservoir of heavily silt-carrying rivers. The IPC (International Patient Classification) of the siltation reduction system is No. E02B1 / 00 and No. E02B9 / 02. According to the system, a submerged sediment control dam is built in the reservoir to divide the reservoir into a clear water reservoir region and a muddy water reservoir region, a sand conveying culvert is adopted to discharge water flow containing sand far away from the upstream of the dam out of the reservoir, dual purposes of water storage of the reservoir and sand discharging are achieved, and the reservoir precipitation erosion distance is widened; tiny particle silt turning over the submerged sediment control dam to the reservoir region before the dam is discharged out of the reservoir through dam flood discharging tunnels in a submersible sand pump reservoir dredging manner; and for wide, shallow and curved deposition forms in the watercourses of the reservoir regions, smooth and straight reservoir river channels beneficial to density flow transport are built in a submersible sand pump sand-excavating dredging manner, and the natural sand discharging effect is improved. The siltation reduction system is suitable for heavily silt-carrying river reservoir building and deposited waste reservoir reformation engineering.
Owner:超飞凡科技(天津)有限公司
Assessing patient risk for an acute hypotensive episode
What is disclosed is a system and method for assessing patient risk for an acute hypotensive episode. In one embodiment, the present method involves retrieving a training set from a database. The training set comprises mean arterial pressures (MAPs) for a plurality of subjects. Each MAP comprises systolic and diastolic measurements. The training set is used to train the present classifier system. Once trained, the present classifier system classifies an unclassified patient into either a first class or a second class. The first class is at risk for an acute hypotensive episode occurring within a prediction window of w≧60 minutes in the future. The second class is not at risk for an acute hypotensive episode. A MAP of an unclassified patient is retrieved or otherwise obtained. Thereafter, the present classifier system proceeds to classify the patient into the first or second class. Various embodiments are disclosed.
Owner:XEROX CORP
System and method to maintain health using personal digital phenotypes
PendingCN112639990AControl body tasksReaction monitoringMedical data miningTherapiesPersonalizationData stream
A system and method for identifying and treating a disease in a patient collects one or more data streams from sensors configured to detect biological signals generated within a patient's tissue over time. Patient data elements including one or more of demographic, clinical, laboratory, pathology, chemical, image, historical, genetic, and activity data for the patient is collected and processed with the data streams to generate a personalized digital phenotype (PDP). The PDP is compared to a digital taxonomy comprising prior data to classify the patient into one or more quantitative disease classifications to guide personalized intervention for treating the patient.
Owner:THE BOARD OF TRUSTEES OF THE LELAND STANFORD JUNIOR UNIV
Pupillary reflex-based patient classification
A method, system and device for detecting an ocular dysfunction with optic neuropathy, such as the glaucoma group of diseases. More particularly, one eye is exposed to a series of flashes, and the resulting pupillary reflexes of both eyes are measured. The pupillary reflexes can then be evaluated to determine if the ocular dysfunction is present. A device that includes at least one light source can be incorporated into a system for recording and evaluating the pupillary reflexes.
Owner:KONAN MEDICAL USA
Systems and Methods for Lowering the Cost of Health Care
InactiveUS20150106109A1Low costMinimize overall health care costOffice automationDiseaseOperating point
A computer-based system and method are provided for minimizing the overall cost of providing health care for a chronic disease. To do this, an operating point is selected on a ROC curve to classify patients in a defined population. Based on this classification, patients in the population are classified and placed on either of a pair of pathways for health care. One pathway involves relatively low-cost health care treatment, but potentially repetitive involvement with the patient. The other pathway involves relatively high-cost treatment, but only episodic involvement with the patient. Placement of each entity on a selected pathway is done to collectively minimize the overall cost of providing health care.
Owner:GARY & MARY WEST HEALTH INST
Late breast cancer survival probability prediction nomogram, survival probability prediction method and patient classification method
PendingCN111354462AHigh precisionIncrease weightMedical data miningHealth-index calculationDiseaseOncology
The invention provides a late breast cancer survival probability prediction nomogram, a survival probability determination method and a patient classification method. The nomogram comprises a score scale and a plurality of prognostic variables, and the prognostic variables are classification variables and comprise a breast cancer staging variable, a breast cancer molecular typing variable, a patient disease-free recurrence time variable, a tumor load variable and a brain metastasis variable; each prognostic variable comprises a plurality of variable values, and each variable value correspondsto one score on the score scale; the nomogram also comprises a total score scale and patient survival probability variables which are continuous variables and comprise a one-year survival probabilityvariable, a two-year survival probability variable and a three-year survival probability variable, wherein each survival probability variable comprises a variable value range, and each variable valuerange has a score range corresponding to the total score scale; the development of medical science is considered, and meanwhile, the requirements of domestic patients are considered, so that the evaluation accuracy of the advanced breast cancer is improved.
Owner:SUN YAT SEN MEMORIAL HOSPITAL SUN YAT SEN UNIV
Method for constructing surgical virtual operation teaching and training system
InactiveCN101996507BImprove teaching qualityReduce teaching costsCosmonautic condition simulationsSimulatorsSimulationVRML
Owner:罗伟
Classification device based on lipid biomarkers and application
PendingCN112185462AReduce physical injuryBiostatisticsHybridisationLipid biomarkerHematological test
The invention discloses a classification device based on lipid biomarkers and application. Specifically, the classification device based on lipid biomarkers comprises a data acquisition module configured to acquire a feature data set of a patient; a model matching module configured to inquire a classification model library and determine a matched classification model according to the medication characteristics, wherein the classification model is obtained by training a preset classification algorithm according to expression quantities of lipid biomarkers in blood of different types of patients; and a patient classification module configured to obtain a classification result of the patient for pulmonary tuberculosis according to the classification model and the expression quantities of thelipid biomarkers in the blood. According to the technical scheme, harm to the body of a patient is low, the device can be suitable for early screening of pulmonary tuberculosis and evaluation of whether pulmonary tuberculosis is cured or not, and a new and objective classification scheme is provided for early screening diagnosis and curative effect evaluation of pulmonary tuberculosis.
Owner:李继承
Who we serve
- R&D Engineer
- R&D Manager
- IP Professional
Why Patsnap Eureka
- Industry Leading Data Capabilities
- Powerful AI technology
- Patent DNA Extraction
Social media
Patsnap Eureka Blog
Learn More Browse by: Latest US Patents, China's latest patents, Technical Efficacy Thesaurus, Application Domain, Technology Topic, Popular Technical Reports.
© 2024 PatSnap. All rights reserved.Legal|Privacy policy|Modern Slavery Act Transparency Statement|Sitemap|About US| Contact US: help@patsnap.com