38 results about "Outcome measures" patented technology

A breathing exerciser includes: a guide unit for guiding an exercise pattern of breathing to a user; a breathing sensor for detecting breathing of the user; a breathing index calculating unit for calculating, based on a signal from the breathing sensor, a breathing index at least one of before and after an exercise period during which the exercise pattern is guided, the breathing index representing a characteristic of a breathing state of the user; and an outcome index calculating unit for calculating an outcome index based on at least two breathing indices, the outcome index representing an outcome of breathing exercise; and an informing unit for informing the outcome index to the user.

A system and method for assessing and monitoring student academic achievement levels for purposes of identifying students at risk for not meeting minimum academic standards as measured using standardized tests, and for tracking or monitoring student academic performance levels. The system and method of the present invention comprises producing a pool of curriculum-independent General Outcome Measures (GOMs) of substantially equal difficulty for a particular grade level, and further comprises a system and method of assessing and monitoring students in that grade level using the pool of GOMs for the purpose of identifying those students at risk for not meeting minimum standardized test target scores and for tracking or monitoring student academic performance levels. The system comprises a database accessible remotely by authorized users through a network and user interface in which authorized users can remotely input student academic performance information and selectively retrieve that information for display through the user interface.

The invention discloses a power dispatching production management system based on cloud computing and a realization method of the power dispatching production management system. The system supports panoramic real-time presentation of diversified and isomerous mass data; the real-time panoramic data presentation refers to real-time visualization of various result indexes obtained through analysis of operating data, display design provides a friendly visualization mode for user experience and adapts to characteristics of diversity and isomerization of a current terminal, so as to develop an omnibearing monitoring and analyzing system on the basis of a visualization technology, therefore, the sensory ability of dispatching persons to power grid states can be improved, and the dispatching persons can rapidly and effectively respond to emergency situations; the power dispatching production management system can schedule maintenance plans in a rolling manner and has the functions of monthly plan high-class statistic analysis display and automatic generation of power failure information.

The invention discloses a self-defined statement fulfilling method, which comprises: Step S102, define a serial basic data list according to users' demands, and save the information of the basic data list into a database or a configuration file; and Step S104, utilize a background application service program to calculate results indexes corresponding with the basic data. Utilization of the invention can create specific format statements according to users' demands, and save the corresponding configuration information into a database or a configuration file, so as to effectively overcome inflexibility and not easy expansibility due to statements in fixed formats; meanwhile, the invention can reduce difficulties in development and maintenance for statements.

The invention belongs to the technical field of helicobacter pylori (Hp) examination and discloses a kit for fast culture, identification and a drug sensitivity test of Hp and an examination method therefor. The kit comprises a first culture tube, an identification reagent device and a drug sensitivity test unit. Through the first culture tube of Hp, bedside inoculation of a specimen is realized and the traditional sample transport and preservation processes are avoided; ordinary thermostat culture is realized and dependence on a CO2 incubator is eliminated; an Hp growth result is represented by a color change so that a result can be determined accurately by laypeople; through the combination of a growth promoting agent and a growth indicator, culture time is shortened and fast culture of Hp is realized; an Hp identification reagent, fast combination identification of Hp is realized; and through the drug sensitivity test unit of Hp, fast and accurate examination of drug sensitivity of Hp is realized. The kit and the examination method therefor can realize fast and accurate examination of Hp.

The present invention relates to a method of creating databases for data mining in medical applications. In one embodiment, the present invention relates to providing a data-driven objective reimbursement model incorporating performance and quality measures, tied to patient, exam, context, and provider-specific variables. In another embodiment, the present invention creates standardized databases where context, patient, provider, and technology specific variables are used to create an objective quantitative measure of exam complexity, which can be correlated with performance times and outcomes measures for iterative refinement. In another embodiment, through the combined analysis of examination complexity, interpretation accuracy, and interpretation times, specific to each individual radiologist, external pacers are created which can be customized to a radiologist's individual needs and preferences. The derived data is used to identify best practice patterns and end-user performance, which can be used by radiologists for individualized education and training.

Disclosed is a computerized decision support system and method for a) tracking participation within programs, b) capturing participant's participation activity and assessment information in a format that can be easily analyzed and c) distilling the participation and assessment data into useful management and evaluation information. The repository of longitudinal data can be analyzed and reported for case-management and program-evaluation purposes. An assessment module enables analyzable assessment instruments to be custom-defined by the system user, e.g. a program manager. The customized assessment instrument is used to provide answer-restricted questions during an assessment interview, enabling virtually any data item to be tracked historically. The system captures date/time-stamped participation information at various levels of detail and stores this information in a way that can be easily retrieved and analyzed for program and participant-focused analysis. A set of industry-standard participation events can be tracked, with supporting detail, as well as less-data-intensive ad hoc user-defined activities. The data model underlying the system, and the implementation of this model within a relational database system, provides a great degree of flexibility, adaptability and efficient navigation through the database for analysis and reporting. Though numerous program-evaluation reports are provided, a set of intermediary aggregations of data is also available for efficient evaluation of additional program outcome measures.

A novel method of using task fingerprinting to predict outcome measures such quality, errors, and the likelihood of cheating, particularly as applied to crowd sourced tasks. The technique focuses on the way workers work rather than the products they produce. The technique captures behavioral traces from online crowd workers and uses them to build predictive models of task performance. The effectiveness of the approach is evaluated across three contexts including classification, generation, and comprehension tasks.

A method includes operating a bingo player station in a first play mode in which the result for a respective bingo game play initiated through the bingo player station is assigned according to a first pattern list. In response to detecting a trigger event, the bingo player station is switched from the first play mode to a second play mode and then the bingo player station is operated in this second play mode. In the second play mode, the result for a respective bingo game play initiated through the bingo player station is assigned according to a second pattern list. The bingo player station is switched from the second play mode to the first play mode in response to a return event. Both the first pattern list and the second pattern list may share at least one result level and at least one common result indicator. However, the two pattern lists are different so that a given bingo pattern correlated to a prize in one of the pattern maps may correlate to a different prize or no prize in the other pattern map.

Provided herein are computer-based systems, software, and methods of using the same including a daily patient questionnaire, the questionnaire comprising: a question for determining whether the patient avoided solid food; a question for determining whether the patient had difficulty swallowing solid food; a question for determining what action the patient took to correct or relieve difficulty swallowing food; a question for determining the amount of pain the patient experienced while swallowing food; and a software module configured to apply an algorithm to answers to one or more of said questions to determine a score, wherein said score illustrates one or more selected from the group consisting of: (1) severity, intensity, or frequency of patient dysphagia; (2) suitability of a patient for a particular diagnostic tool, diagnostic method, or therapy for dysphagia; and (3) efficacy of a particular therapy for dysphagia.

Continuous Glucose Monitoring (CGM) devices provide glucose concentration measurements in the subcutaneous tissue with limited accuracy and precision. Therefore, CGM readings cannot be incorporated in a straightforward manner in outcome metrics of clinical trials e.g. aimed to assess new glycaemic-regulation therapies. To define those outcome metrics, frequent Blood Glucose (BG) reference measurements are still needed, with consequent relevant difficulties in outpatient settings. Here we propose a “retrofitting” algorithm that produces a quasi continuous time BG profile by simultaneously exploiting the high accuracy of available BG references (possibly very sparsely collected) and the high temporal resolution of CGM data (usually noisy and affected by significant bias). The inputs of the algorithm are: a CGM time series; some reference BG measurements; a model of blood to interstitial glucose kinetics; and a model of the deterioration in time of sensor accuracy, together with (if available) a priori information (e.g. probabilistic distribution) on the parameters of the model. The algorithm first checks for the presence of possible artifacts or outliers on both CGM datastream and BG references, and then rescales the CGM time series by exploiting a retrospective calibration approach based on a regularized deconvolution method subject to the constraint of returning a profile laying within the confidence interval of the reference BG measurements. As output, the retrofitting algorithm produces an improved “retrofitted” quasi-continuous glucose concentration signal that is better (in terms of both accuracy and precision) than the CGM trace originally measured by the sensor. In clinical trials, the so-obtained retrofitted traces can be used to calculate solid outcome measures, avoiding the need of increasing the data collection burden at the patient level.

A computer implemented method and system include receiving a trigger in the computer related to job performance in a work environment. The system compares job performance related to the trigger to a worker competency model having behavior indicators of good performance. The comparison of job performance to the worker competency model, behavior indicators, and outcome measures is used to provide an indication of good and poor job performance for a variety of situations. Training, best practices, and effective strategies may also be automatically identified.

The invention relates to a city development level calculation method. The method comprises the steps of obtaining city index data and establishing a city livable index database; obtaining a starting value and an ideal value of a city development level evaluation index and performing indexing processing; determining a weight of the city development level evaluation index; performing weighted calculation on the starting value and the ideal value, subjected to the indexing processing, of the city development level evaluation index to calculate a city construction process index value and an ecological construction result index value; and including a city in different quadrants of a two-dimensional plane rectangular coordinate system according to the city construction process index value and the ecological construction result index value, and determining a city development level according to the different quadrants where the city is located, wherein the starting value is a minimum value of the city development level evaluation index, and the ideal value is an optimal value of the city development level evaluation index. According to the method, the shortcomings of complexity and hugeness of a conventional index system are overcome, and the city development level is not only limited to simplex numerical ranking; and city ecological livable development results are represented by four quadrants, so that the city position can be clearly determined more quickly.

The invention pertains to a method for predicting a manifestation of an outcome measure of a cancer patient based on a tumor DNA containing tissue sample from the cancer patient, comprising, firstly, determining an existence of a sequence variation within segments of at least two genes of the tumor DNA as Present, if at least one significant sequence variation can be determined, or as Absent, if no significant sequence variation can be determined, wherein the at least two genes of the tumor DNA are associated with the outcome measure of the patient; secondly, combining the existence of sequence variations of the at least two genes using a logical operation (prediction function), and thirdly, predicting based on the results of the logical operation the manifestation of an outcome measure of the patient.