71 results about "Outcome analysis" patented technology

The present invention creates an objective methodology of quantitative accountability for medical device manufacturers, vendors, clinical providers, patients, and payers. In one embodiment, the standardized data received and stored in the medical device database can in turn be used for a variety of applications related to decision support (e.g., medical device selection), education and training (e.g., procedural performance), cost efficacy, evidence based medicine and best practice guidelines, personalized medicine, and comparative performance / safety analytics.

Analyzing employees based on results of an education business simulation. A network is utilized to present a training simulation to a user for achieving a training goal. Information is integrated into the training simulated utilizing the network that helps motivate achievement of the goal by the user. Progress of the user towards achieving the goal is measured utilizing the network. For further motivating achievement of the goal, feedback is also provided to the user utilizing the network. There are three levels of feedback, where each is progressively more detailed and is selected based on the number of mistakes made by the user, the user's progress towards the goal is subsequently reported to the employer of the user utilizing the network.

A method for producing a custom resection jig for a current patient scheduled to receive total knee arthroplasty using outcomes analysis comprising the steps of maintaining a database on a computer system of (1) prior patient bone morphology, (2) along with anatomical and mechanical bone alignment data and (3) data defining a custom resection jig design with a generally transverse resection window operable to guide a surgeon's transverse bone cut for prior patients that have received total knee arthroplasty and a post-surgery medically recognized scoring register greater or equal to a predetermined highly successful score value for a total knee arthroplasty procedure using prior success data to guide production of a current patient custom jig resection windows.

The present invention relates to a method and apparatus where pre-defined diagnostic medical agent administration data are prospectively collected and analyzed, in order to provide an objective contrast administration risk-benefit analysis, and provide an impartial analysis for pre-testing assessment, as well as optimization of examination, contrast selection and performance parameters. By storing this data in a standardized and centralized fashion, the data could in turn be used for clinical outcome analysis on a local, regional, and national level.

The invention enables a system user to create a scenario that includes an analysis resolution, portfolio component data and analysis environment data. Once the scenarios are established, the system user can conduct processing / modeling / analysis in order to optimize the portfolio allocation data—effectively maximizing the return on the component investments, while minimizing the risk exposure for the portfolio. In achieving the optimization, the system can process stored user or system defined scenarios based on a series of modeling / analysis system modules. Further, it is possible for a system user to model, analyze and compare multiple scenarios historically or prospectively. The system may provide wealth outcome analysis which allows a user to determine likely long term outcomes of a particular investment plan, while accounting for the tax consequences of the chosen plan. In an implementation, the system is configured to store the modeling / analysis results and generate a scenario report. Further, the system can be configured to generate the report in a standardized format and automatically distribute the report to designated recipients.

The invention discloses a psychological quality training system based on a VR technology, including a physiological index acquisition module, a virtual scene interaction module and a data analysis module, wherein the physiological index acquisition module and the virtual scene interaction module are respectively connected with a data analysis module; the virtual scene interaction module comprisesa plurality of sets of VR devices; the VR device comprises a scene database, a scene output device and a VR wearing terminal; and the physiological index acquisition module is connected with the VR wearing terminal, and the physiological index acquisition module transmits the collected data to a data analysis module. The invention also provides a psychological quality training method based on a VRtechnology. Through the VR virtual environment, the participants have a real sense of immersion, simulate hostile attack, battlefield environment, high-risk environment, combined with data analysis module to analyze the results of the participants, change the scene and time of psychological training, adjust the ability of the participants to receive training, and constantly enhance the psychological quality of the participants.

Machine learning (46) is used (26) to assess data for a patient in an emergency, providing (28) rapid diagnosis based on a large amount of information. Assistance in triage (30) may be provided. Giventhe large variety of patients and conditions that may occur, the machine learning (46) may rely on synthetically generated (42) images for more accurate prediction. The machine learning (46) may accurately predict (28) even with missing information and may be used to determine (34) what missing information for a given patient is more or less important to obtain.

A method and systems of safety analysis of engineering processes for safety analysis of nuclear power stations are disclosed. A distribution of risk factors is analysed on different stages of the engineering process, and safety intervals are determined where safety conditions remain invariable. The method further includes analysis of failure transitions from one safety interval into another by means of cause-effect analysis. Based on the results of this analysis, deterministic safety models are created for possible scenarios of transition of failures from one safety interval into another. The method and systems provide quantitative safety analysis and evaluation for engineering processes in variable safety conditions and enable creating valid safety requirements to perform optimization of an engineering processes control system.

The evidence-based outcomes system is a multifunction web-based process to optimize performance of industry-specific programs. The system is applicable to virtually all industries which require optimized performance. However, the system is particularly applicable to the health care industry, which, of course, requires optimized performance. The system is further particularly applicable to bloodless medicine and surgery versus homologous medicine and surgery, which is an application with performance which is particularly sensitive to changes in input to the system. The system is typically implemented with an industry team of experts, a program team which collects and enters relevant data, a technology team which manages the relational database and a business team which uses evidence-based analysis of outcomes to develop and recommend policies that will enhance program financial performance.

The invention provides a construction method adopting PADs to implement cognitive tests, particularly a Matrics (Measurement and Treatment Research to Improve Cognition In Schizophrenia) consensus cognitive test battery PAD system construction method. The method includes the following steps: (A) a JOSN (JavaScript Object Notation) server-side interface for each test is established, so that a PAD side can obtain and update data; (B) at the PAD side, a test page is provided according to the requirement of each test, a testee is tested by the PAD side, so that test data are obtained; (C) a test result is analyzed and judged on the basis of the test data according to a test algorithm, so that a test conclusion is obtained and saved in a server side, and the test conclusion is presented at the PAD side; (D) test data and test conclusions are shared by different PAD sides and different departments. The PAD side / server side mode is used for substituting for the conventional paper and artificial test mode of the Matrics consensus cognitive test battery, and under the premise of keeping the original test process and specifications, test data are calculated and data are exchanged between the PAD side and the server side according to the uniform JSON interface.

The invention discloses a method for realizing the visualization of the result of questionnaires based on a multiple choice question type and solves the problems that the conventional analysis technology of the results of the questionnaires can not distinguish the differences of investigated objects and the analysis result is not intuitive; the method of the invention comprises the following steps: the result of the questionnaire is processed so as to obtain the result of the questionnaire with high dimensional vector; on the premise that the distance of the result of the questionnaire with high dimensional vector is kept to be invariant basically, the result of the questionnaire with high dimensional vector is reduced to be the result of the questionnaire with low dimensional vector which is below 3 dimensions; according to the result of the questionnaire with low dimensional vector after the dimension is reduced, coordinate points are marked in a selected coordinate system so as to obtain a display image of the result of the questionnaire; the invention uses the non-linear dimension reduction technique to convert the high-dimensional vector into the low-dimensional vector used for displaying the coordinate, can reflect the difference of the investigated objects visually and carry out classification and clustering to the investigated personnel based on the vision, thus realizing the visualization display of the result of the questionnaire.

The invention discloses an application method of a machine learning classification model in adolescent autism auxiliary diagnosis. The method is characterized by being implemented according to the following mode. The method comprises the steps of 1, establishing a model training method; 2, constructing a model evaluation index; 3, performing characteristic engineering of the autism auxiliary diagnosis system; 4, performing data dimension reduction processing; 5, carrying out feature selection; and 6, carrying out model training and result analysis. According to the invention, a machine learning method is introduced into the field of autism research; the high efficiency and the reliability brought by the method are greatly helpful to the auxiliary diagnosis of autism. The application fieldof the invention can be embodied in: (1) disease diagnosis and treatment, (2) smoking addiction, network addiction and network game addiction, (3) cognition and other health fields, and the like.

Certain embodiments of the present invention provide a system for analyzing a treatment of a patent including: an interactive image editor for allowing a user to interact with a first set image data corresponding to a pre-treatment radiological study of a patient, the first set of image data including an untreated clinical area of interest, such that the user is capable of interacting with the first set of image data to form a target outcome image for the clinical area of interest; a criterion determination module for allowing the user to determine a target outcome criterion; processing module for performing a comparison by comparing the first set of image data with a second set of image data corresponding to a post-treatment radiological study of the patient, the second set of image data including a treated clinical area of interest; and a criterion evaluation module for automatically evaluating the comparison to determine a post-treatment effect. In an embodiment, the criterion evaluation module is further for evaluating automatically a treatment effectiveness evaluation based on an extent to which the post-treatment effect satisfies the target outcome criterion.

A system receives feature parameters, each identifying possible values for one of a set of features. The system receives outcomes corresponding to the feature parameters. The system generates a simulated patient population dataset with multiple simulated patient datasets, each simulated patient dataset associated with the outcomes and including feature values falling within the possible values identified by the feature parameters. The system may train a machine learning engine based on the simulated patient population dataset and optionally additional simulated patient population datasets. The machine learning engine generates predicted outcomes based on the training in response to queries identifying feature values.

The invention relates to the technical field of data supervision, and particularly discloses a hospital supervision system and method. The system comprises a data acquisition module, a storage module,and an analysis module. The data acquisition unit is used for acquiring medical data from a plurality of hospitals and storing the medical data into the storage module in a classified manner according to hospital names, wherein the medical data comprises detection items and diagnosis results of each patient; the analysis module is used for analyzing whether excessive medical treatment exists or not based on the detection items and the diagnosis results, and if so, the analysis module is further used for outputting excessive medical treatment alarm information; and the analysis module is alsoused for acquiring all the excessive medical alarm information, counting the excessive medical alarm information times of each doctor based on the names of the doctors in charge in the excessive medical alarm information, and outputting retraining reminding information when the excessive medical alarm information times of any doctor is equal to a threshold value. By adopting the technical scheme of the invention, each hospital can be supervised through medical data.

This invention relates to a system and method for three-dimensional airway reconstruction, assessment and analysis. Specifically, the invention relates to a system and method for acquiring one- and two-dimensional data regarding a cavity, such as an esophagus or an airway, and manipulating that data to reconstruct a three-dimensional geometrical object representing that cavity. Suitable data collection methods include, but are not limited to, non-ionizing, non-invasive protocols including acoustic reflectometry, such as that performed by a DOS®- or Windows®-based pharyngometer or rhinometer. The resulting three-dimensional geometric object of the subject cavity can be used to diagnose cavity morphology / obstruction, aid in management and treatment of the obstruction, evaluate efficacy of management and treatment of the obstruction and also provide information for use in outcome analysis and forensic and medico-legal evaluation of diagnosis and treatment of cavity obstruction / stenosis.

The invention discloses a comprehensive evaluation system for evaluating a power supply service level. The comprehensive evaluation system comprises a factor management module, an evaluation data management module, an evaluation execution module, an evaluation result analysis module and an evaluation result application module which are in data communication connection in sequence. According to theinvention, a normalized power supply service level comprehensive evaluation system of a service quality evaluation, supervision and control mechanism is established; data among different service systems are collected, association linkage analysis of big data is realized among the data, and requirements of different evaluation periods are met by establishing a power supply service comprehensive evaluation system, adopting day weeks for event notification, adopting monthly quarters for stage evaluation and adopting yearly comprehensive evaluation. The method effectively solves the problems of management pain points and evaluation deviation at present, timely finds and processes the defects influencing the service, can continuously and scientifically optimize and adjust the content of an evaluation system, and improves the service evaluation precision.

The invention enables a system user to create a scenario that includes an analysis resolution, portfolio component data and analysis environment data. Once the scenarios are established, the system user can conduct processing / modeling / analysis in order to optimize the portfolio allocation data—effectively maximizing the return on the component investments, while minimizing the risk exposure for the portfolio. In achieving the optimization, the system can process stored user or system defined scenarios based on a series of modeling / analysis system modules. Further, it is possible for a system user to model, analyze and compare multiple scenarios historically or prospectively. The system may provide wealth outcome analysis which allows a user to determine likely long term outcomes of a particular investment plan, while accounting for the tax consequences of the chosen plan. In an implementation, the system is configured to store the modeling / analysis results and generate a scenario report. Further, the system can be configured to generate the report in a standardized format and automatically distribute the report to designated recipients.

The invention discloses a quantitative model assessment method and system based on molecular spectrum analysis. The quantitative model assessment method based on the molecular spectrum analysis comprises the following steps that: carrying out assessment on the sample amount of a quantitative model; carrying out assessment on the model accuracy of the quantitative model; carrying out assessment on the model correlation of the quantitative model; carrying out assessment on the model representativeness of the quantitative model; and on the basis of the assessment results of the sample amount, the model accuracy and the model representativeness, carrying out assessment on the quantitative model, and analyzing an assessment result to finish the molecular spectrum analysis. The quantitative model assessment system based on the molecular spectrum analysis comprises a sample amount assessment module, a model accuracy assessment module, a model correlation assessment module, a model representativeness assessment module, a quantitative model scoring module and a scoring result analysis module. By use of the method and the device, the advantages that an analysis result is simply and quickly obtained and the comprehensiveness of the assessment method can be comprehensively considered are realized.

The invention discloses a GHP and GCN fused Chinese and western medicine relocation method and system and a storage medium. The relocation method comprises the following steps: collecting multi-source and multi-mode heterogeneous data; gHP-GCN Chinese and western medicine relocation model construction specifically comprises the steps of global heterogeneous pharmacological network GHP construction, global heterogeneous pharmacological network and graph convolutional neural network fusion to form a GHP-GCN model, and "monarch, minister, assistant and guide" and "node semantic neighbor" dual weighted constraint optimization of the GHP-GCN model; constructing a training set and learning and reasoning a GHP-GCN model; contribution degree calculation and result analysis; and verifying and optimizing a result. The method can be applied to Chinese and western medicine relocation research, can predict potential and new drug-target protein / gene, target protein / gene-disease and drug-disease association, identifies new drug targets and new disease-associated pathogenic genes, and discovers and confirms drugs having potential treatment effects on diseases and integration effects and synergistic mechanisms thereof. A scientific basis is provided for explaining the effectiveness of Chinese and western medicine treatment and drug discovery.

System and method for determining an outcome probability of an event based on videos are disclosed. The method includes receiving the videos of an event, creating a building block model, extracting one of an audio content, a video content from the videos, analysing extracted content, generating an analysis result, analysing an engagement between speaker and participant of event, generating a data lake comprising a keyword library, computing the outcome probability of the event, enabling the building block model to learn from the data lake and the outcome probability computed and representing the at least one outcome probability in a pre-defined format.

The invention discloses an intelligent model for medicine standardization and medicine directory matching. The intelligent model comprises an identification word module, wherein a medicine is generally composed of elements such as a general name, a dosage form, a specification, a specification attribute, a packing material and a production enterprise; a medicine knowledge base is constructed for all listed medicines, essential and common descriptions of the medicines are selected from the knowledge base to serve as identification words of all elements of the medicines, and the identification words are further combined into identification word groups of the medicines; the medicine is standardized through the medicine identification phrases and the distinguishing phrases, limitation of medicine information description sequences and irrelevant description character differences is avoided, complicated text calculation processes and complicated result analysis are not needed, the intelligent model is simple, efficient and accurate, and possibility is provided for medicine information interconnection and information sharing; basic data of the medicine standardization model are identification words and distinguishing words of the medicine instead of massive original information of the medicine, maintenance is easy, and the data storage amount is small.

The invention discloses an aortic dissection surgery risk prediction method based on a lifting tree model. The method comprises the steps of 1, carrying out data preprocessing; complementing data loss parts in the operation records to form a database containing the operation records; step 2, carrying out data mining; processing the data in the database based on the decision tree model; 3, analyzing a result; analyzing a data mining processing result to evaluate the validity of a data mining algorithm; and 4, carrying out knowledge application; and applying the model to data corresponding to the current aortic dissection surgical operation to predict the risk of the current operation. The model has 100% accuracy rate for predicting the death risk after the aortic dissection surgery, compared with other prediction methods, the accuracy is higher, the prediction result can give key factors of death after the aortic dissection surgery, decision basis can be provided for doctors and patients in the future, and a medical policy maker can fully utilize and arrange medical resources.

The invention provides a purchase-sales-stock intelligent analysis system, which comprises a data management module, an external system connection module and a stock change operation module, and further comprises an intelligent analysis module, the intelligent analysis module comprises an analysis instruction obtaining unit used for obtaining a data analysis instruction of a worker; the instruction analysis unit is used for analyzing the data analysis instruction and determining a data capture rule, a data analysis rule and an output rule; the data capturing unit is used for extracting to-be-analyzed data from the data management module based on a data capturing rule; the data analysis unit is used for analyzing the to-be-analyzed data based on the data analysis rule to obtain an analysis result; and the analysis output unit is used for outputting an analysis result based on the output rule. According to the purchase-sales-stock intelligent analysis system, analysis is carried out according to the data records to generate various analysis reports, and the analysis reports are presented according to the presentation mode set by the staff, so that the staff can better manage goods in the purchase-sales-stock link of an enterprise.

The invention discloses a psychological health education platform, and belongs to the field of education platforms. The platform comprises a user module, an encryption module, a function selection module, a platform information module, a psychological evaluation module, an analysis selection module, an online video module, a manual consultation module, a processing result analysis module, a result display module and a data storage module. According to the psychological health education platform of the invention, the analysis selection module is adopted; when the psychological evaluation module receives E, psychological testing is started to be carried out on a user, a test score is processed to generate evaluation data; and a prompt unit in the analysis selection module receives the evaluation data, compares the evaluation data and carries out classification marking. And if the test data is relatively high, the user is prompted to select manual consultation as the optimal scheme, and if the test data is relatively low, the user is prompted to select online video viewing as the optimal scheme, so that multiple solutions are provided for the user, problems of the user can be effectively handled, appointment processing is not needed, time is saved, and the processing rate of the platform is improved.