114 results about "Intervention measures" patented technology

The present invention is an improved computational method and system of empirical induction that can be used to arrive at generalized conclusions and make predictions involving longitudinal associations between and among variables and events. Empirical induction is used to gain scientific knowledge, to develop and evaluate treatments and other interventions, and to help make predictions and decisions. The invention, which is distinct from and often complementary to the statistical method, is applied to repeated measures and multiple time-series data and can be used to quantify, discover, analyze, and describe longitudinal associations for individual real and conceptual entities. Major improvements include provisions to define Boolean independent events and Boolean dependent events and to apply analysis parameters such as episode length and episode criterion for both independent and dependent variables, persistence after independent events, and delay and persistence after Boolean independent events. These improvements are in addition to levels of independent and dependent variables, delay after independent events, and provision to quantify benefit and harm across two or more dependent variables. Additional improvements include provisions to quantify longitudinal associations as functions of period or time and to compute values of predictive indices when there are two or more independent variables. Major applications and uses of the invention include data mining, the conduct of clinical trials of treatments for the management or control of chronic disorders, health-effect monitoring, the quantification and analysis internal control in adaptive systems, analyses of serial functional images, analyses of behavior and behavior modification, and use to create computerized devices and systems whose behavior can be modified by experience. The present invention is best implemented on the Internet.

A method is provided for conducting surveillance on a network. Data is captured on a network for a plurality of aggregated channels. The data is from individuals with network access identifiers that permit the individuals to gain access to the network, or applications on the network. The data is used to construct a plurality of session data streams. The session data streams provide a reconstruction of business activity participated in by the application or the individual with the network. A window of data is read in at least one of the plurality of session data streams to determine deviations. The window of data is tested against at least one filter. The at least one filter detects behavioral changes in the applications or the individuals that have the network access identifiers to access to the network. Defined intervention are taken in response to the deviations.

The present invention relates to a method and apparatus to objectively measure stress and fatigue using measurement tools, record stress and fatigue related data in a standardized database, create automated prompts and alerts based upon pre-defined stress and fatigue thresholds (which are derived based upon individual end-user and task performance), provide a number of interventions (which can be preferentially selected by the individual end-user), create data-driven best practice guidelines though meta-analysis of the database, and provide an objective tool for comparative technology assessment.

The system and process of the present invention employs encrypted data input from both users and physicians to identify disturbances in human biologic function. Physical and metabolic characteristics, historical data and current symptoms are compiled through use of a computerized expert system that recognizes patterns predictive of metabolic dysfunction or insufficiency. Functional capabilities of all bodily systems are simultaneously evaluated at each input session through expert system analysis to create science-based remedial plans exemplifying methods of lifestyle alteration and biologic response modification through nutrition and other means. Enhancement of metabolic activity is presumed on the basis of improving symptom, metabolic, and laboratory scores. Lifestyle, fitness, nutritional, and dietary plans are formatted for uncomplicated implementation and professional guidance in applying all interventions to uniquely integrate the offerings of medical, healthcare and lifestyle professionals.

The invention discloses a control method for avoiding collision during emergent lane changing of a vehicle in a high-speed state and belongs to the technical field of vehicle active safety. A detecting unit obtains a road adhesion coefficient as well as the speeds, distance and accelerated speeds of the vehicle and a vehicle on an adjacent lane through a GPS/INS, millimeter-wave radar, a high-definition camera, a speed sensor and an accelerated speed sensor. A processing unit judges whether an alarm is given or an emergent lane changing collision avoiding intervention measure is taken under the collision risk situation according to the data of the detecting unit. An alarm unit carries out voice prompting and carries out displaying through a vehicle-mounted terminal. An executing unit achieves lane changing collision avoiding intervention through a braking controller and a steering controller. According to the method, risk early warning and lane changing prompting are achieved, under the situation that accidents cannot be avoided through emergent braking, the lane changing direction is judged according to the speed, accelerated speed and distance of the vehicle on the adjacent lane, an emergent lane changing trajectory is planned reasonably, and thus the purpose of avoiding accidents by avoiding collision during emergent lane changing is realized.

The invention integrates emerging applications, tools and techniques for machine learning in medicine with videoconference networking technology in novel business methods that support rapid adaptive learning for medical minds and machines. These methods can leverage domain knowledge and clinical expertise with cognitive collaboration, augmented medical intelligence and cybernetic workflow streams for learning health care systems. The invention enables multimodal cognitive communications, collaboration, consultation and instruction between and among heterogeneous networked teams of persons, machines, devices, neural networks, robots and algorithms. It provides for both synchronous and asynchronous cognitive collaboration with multichannel, multiplexed imagery data streams during various stages of medical disease and injury management—detection, diagnosis, prognosis, treatment, measurement, monitoring and reporting, as well as workflow optimization with operational analytics for outcomes, performance, results, resource utilization, resource consumption and costs. The invention enables cognitive curation, annotation and tagging, as well as encapsulation, saving and sharing of collaborated imagery data streams as packetized medical intelligence. It can augment packetized medical intelligence through recursive cognitive enrichment, including multimodal annotation and [semantic] metadata tagging with resources consumed and outcomes delivered. Augmented medical intelligence can be saved and stored in multiple formats, as well as retrieved from standards-based repositories. The invention can incorporate and combine various machine learning techniques [e.g., deep, reinforcement and transfer learning, convolutional and recurrent neural networks, LSTM and NLP] to assist in curating, annotating and tagging diagnostic, procedural and evidentiary medical imaging. It also supports real-time, intraoperative imaging analytics for robotic-assisted surgery, as well as other imagery guided interventions. The invention facilitates collaborative precision medicine, and other clinical initiatives designed to reduce the cost of care, with precision diagnosis and precision targeted treatment. Cybernetic workflow streams—cognitive communications, collaboration, consultation and instruction with augmented medical intelligence—enable care delivery teams of medical minds and machines to ‘deliver the right care, for the right patient, at the right time, in the right place’—and deliver that care faster, smarter, safer, more precisely, cheaper and better.

This invention belongs to photoelectricity measuring technique field and relates to a self-collimation intervention measuring system which comprises 1 Number one light source, 2 diaphragm, 3 Number one beam splitter, 4 Second beam splitter, 5 Third beam splitter, 6 object lens group, 7 reflectoscope, 8 CCD detector, 9 Second light source, 10 self-collimation grating, 11 aiming grating, 12 CCD detector. The invention provides a new method for measuring the three-dimensional deformation of an object based on the principle of self-collimation intervention and solves the problem that background technique can't measure the three-dimensional deformation of an object. There are two main light paths in the self-collimation intervention system of this invention and one is self-collimation light path which can measure the two-dimensional deformation of an object and the other is grating invention light path which can measure one-dimensional deformation of a object. And the accuracy of the deformation measured is improved with the increase of the grating frequency by the use of grating invention.

The invention belongs to the technical field of sleep monitoring, and provides a sleep management method, a sleep management system and terminal equipment. The sleep management method comprises the following steps: acquiring more than one physiological data of user who is under a sleep status, and extracting characteristic information of each physiological data; in accordance with the characteristic information, primarily judging a sleep stage corresponding to each physiological data; acquiring a reliability order of each physiological data when the sleep stage corresponding to each physiological data is inconsistent; and determining a current sleep stage of the user in accordance with the reliability order, and conducting sleep intervention in accordance with the current sleep stage of the user. In the process, it can judge the current sleep stage of the user in accordance with the various physiological data, which is detected out in real time, of the user in sleep, and the sleep management method is accurate in judging result and low in detection cost; and intervention measures can be adopted in accordance with the sleep stage of the user, so as to bring about benefits for improving the sleep quality of the user.

The present invention relates to compositions and methods for the protection and restoration of hearing. In particular, the present invention relates to treatments to facilitate the protection and re-growth of the auditory nerve. The present invention further provides methods of preventing hair cell loss and the accompanying loss in hearing. The present invention thus provides novel interventions for a variety of hearing impairments.

The invention discloses a health monitoring system based on cloud resource low delay scheduling. The system comprises a physiological sensor node, a fog computing server, a cloud data center and a mobile intelligent terminal. The invention further discloses a health monitoring method based on the cloud resource low delay scheduling. The physiological sensor node transmits physiological monitoringdata to the fog computing server with nearest network distance; the fog computing server is responsible for receiving, processing and merging data, and uploading the data to the cloud data center; themobile intelligent terminal is connected with the fog computing server with nearest network distance, receives intelligent alarm information, a health assessment result and an intervention measure; the fog computing server and a resource scheduling algorithm restrained based on a time threshold in the cloud data center process a request to ensure the low delay. The health monitoring system and method based on the cloud resource low delay scheduling have the advantages that the system is intelligent and front-end, the delay is low, the location awareness is strong, the limitations of physiological sensors in terms of energy and storage are overcome, the user experience is improved, and the method is conducive to finding problems and providing ambulance at the first time.

A system to predict and identify claims that have a high likelihood of exceeding a predetermined limitation in a given excess workers' compensation insurance policy and to present the automated indication of possible intervention strategies to mitigate potential claims costs. The processing system includes a computer server, database engine, computer programming instructions, network connectivity, associated claims, payment, medical, pharmacy and other relevant data, a plurality of statistical and machine learning algorithms and a method for electronically displaying and attaching the results to a business process. The system will use all available data to analyze the medical treatment pattern of a claimant and based on automated findings make recommendations as to appropriate interventions to positively impact claims costs.

According to the invention, the human eyes are accurately positioned by a scale-invariant gradient integral projection algorithm and a Kalman filtering method, the degree of fatigue of the human eyes is detected by a calculation method based on the PERLOG feature, and different intervention measures are taken according to the degree of fatigue. The process mainly comprises the following steps: first, an image frame sequence of a user when the user uses a smart phone is collected through the front-facing camera of the smart phone, all the frames are sequentially processed by the smart phone, and the smallest rectangle containing the human eyes is positioned; second, the smallest rectangle containing the human eyes is positioned within a certain range of accuracy, the rectangle obtained each time is scaled according to the same fixed ratio, the area of the rectangle is worked out, the opening and closing condition of the eyes is judged according to an eye opening and closing threshold obtained through training, and the PERLOG feature value for judging the degree of fatigue of the human eyes is updated; and third, corresponding intervention measures are taken according to the degree of fatigue.

The present invention provides methods for treating, preventing or reducing the severity of cerebral malaria. The methods of the present invention comprise administering to a subject in need thereof a therapeutically effective amount of a pharmaceutical composition comprising a modified angiopoietin molecule such as AngF1-Fc-F1.

Long term calorie restriction has the benefit of increasing life span. Methods to screen interventions that mimic the effects of calorie restriction are disclosed. Extensive analysis of genes for which expression is statistically different between control and calorie restricted animals has demonstrated that specific genes are preferentially expressed during calorie restriction. Screening for interventions which produce the same expression profile will provide interventions that increase life span. In a further aspect, it has been discovered that test animals on a calorie restricted diet for a relatively short time have a similar gene expression profile to test animals which have been on a long term calorie restricted diet.

The invention discloses a multi-factor model for predicting a breast cancer onset risk and an establishing method of the multi-factor model. The establishing method of the multi-factor model comprises screening gene detection, wherein the screening comprises the following steps: (1) collecting and treating a peripheral blood sample; (2) establishing library DNA of the sample, and performing computer sequencing on a Hiseq sequencing platform; (3) performing biological information analysis on computer data, and finding pathogenic mutation; (4) sequencing mutation sites by using a golden standard Sanger sequencing technique, thereby obtaining accurate gene mutation information. By adopting the multi-factor model which is disclosed by the invention and is used for predicting the breast cancer onset risk, a part of people can be screened and diagnosed at an early stage, active interference measures can be taken, and the multi-factor model is particularly applicable to prediction on high-risk people suffering from familial breast cancer.

A safety system associated with a travel coordination system collects safety data describing safety incidents by providers and generates a plurality of safety incident prediction models using the safety data. The safety incident prediction models predict likelihoods that providers in the computerized travel coordination system will be involved in safety incidents. Two types of safety incidents predicted by the safety system include dangerous driving incidents and interpersonal conflict incidents. The safety system uses the plurality of safety incident prediction models to generate a set of predictions indicating probabilities that a given provider in the travel coordination system will be involved in a safety incident in the future. The safety system selects a safety intervention for the given provider responsive to the set of predictions and performs the selected safety intervention on the given provider.

Computerized systems and methods facilitate preventing dangerous blood glucose levels using a predictive model to predict whether a particular patient is trending to have dangerous blood glucose levels. The predictive model may be built using logistic or linear regression models incorporating glucose data associated with a plurality of patients received from a plurality of sources. The glucose data may include context data and demographic data associated with the glucose data and the plurality of patients. The predictive model may be employed to predict a likelihood of a particular patient to have dangerous blood glucose levels. Based on the likelihood, the prediction and one or more interventions are communicated to a care team or the patient. The one or more interventions may be incorporated into a clinical device workflow associated with a clinician on the care team or the patient.

The invention discloses a wearable arteriosclerosis detector and a pulse wave velocity detecting method. The wearable arteriosclerosis detector comprises a brachial artery paster type pressure sensor, an ankle artery paster type pressure sensor, a signal collecting and processing system and intelligent equipment. The detector collects arterial pulse signals of two parts through the brachial artery paster type pressure sensor and the ankle artery paster type pressure sensor. The collected arterial pulse signals are synchronously processed through the signal collecting and processing system and converted into audio signals. The converted audio signals are sent to the intelligent equipment. The audio signals sent to the intelligent equipment are processed and analyzed through an arteriosclerosis detecting module. As measurement and analysis of the pulse wave velocity are easy, fast and noninvasive, the detector is generally applied to the clinic, is suitable for being applied to common population study, predicts the occurrence risk of cardiovascular disease, and is beneficial for taking intervention measures at the early stage.