31 results about "Outcome variable" patented technology

A method and system for making financial or medical decisions. The method comprises training sets of models using classification training with sets of data derived from segregated data sources. Overall weighting of each model within the sets of models are determined for each of the sub-datasets. The sets of models, the overall weighting of each model and a number of examples provided from the data for each of the datasets are transmitted to a central server over a communication network, wherein the central server is configured to determine the relative weights of each of the sets of models in the overall ensemble model based on the number of examples, combine the sets of models, receive new application data, and predict at least one of outcome variables, an uncertainty factor for the variables, and drivers of the outcome variables based on the new application data.

Systems methods and recordable media for predicting multi-variable outcomes based on multi-variable inputs. Additionally, the models described can be used to predict the multi-variable inputs themselves, based on the multi-variable inputs, providing a smoothing function, acting as a noise filter. Both multi-variable inputs and multi-variable outputs may be simultaneously predicted, based upon the multi-variable inputs. The models find a critical subset of data points, or “tent poles” to optimally model all outcome variables simultaneously to leverage communalities among outcomes.

A method for generating a model representative of a process. The process includes a result variable representing a product of the process, and a plurality of process variables representing characteristics of the process other than the product of the process. The method includes steps of acquiring a plurality of test values of the result variable; acquiring, for each process variable of the plurality of process variables, a plurality of test values of the process variable, each test value being associated with a result variable value; providing, for each first coefficient of a plurality of first coefficients, a separate test value of the first coefficient associated with each process variable; and, for each second coefficient of a plurality of second coefficients, providing a separate test value of the second coefficient associated with each test value of each process variable. At least one of the method steps is a computer-implemented step.

A process for determining responders in clinical testing environments that involves, inter alia, detecting treatment response through the use of small numbers of measurements of randomly varying outcome variables in individual clinical trial subjects, and by analyzing the measurements in such a way as to eliminate troublesome variables, such as a spontaneous population variability.

The invention provides a system for automatically marking a source code. The system comprises a code reading unit for reading the source code of any source file into a character string variable and decomposing the character string variable into a string array, a level determining unit for prereading retraction format characters of multiple rows of statements and determining statement levels, a type judging unit for determining whether each statement is a branch / loop statement or not according to an initial keyword, a statement processing unit for adding a unique identification and a comment statement in each branch of a statement body part of each branch / loop statement, and a variable storing unit for storing outcome variables into the source file after all the statements in the string array are processed. The invention further provides a corresponding method for automatically marking the source code. By adopting the technical scheme, branch / loop statements in the source code can be automatically identified, and the unique identifications and rem statements are automatically added, so that manual intervention is reduced, and the processing complexity is lowered.

A method for predicting an outcome variable of a patient, such as the probability of death / recovery, comprising accessing at least one of a plurality of past patient data fields, said data fields including physiological and / or laboratory data, and length of hospital stay, length of hospital stay Indicate how long each patient has been under surveillance at that time. An outcome variable estimation algorithm is generated by data mining based on a plurality of past patient physiological and / or laboratory data, corresponding hospital stays, and associated outcome variables. The outcome variable for the current patient is determined based on the current patient's physiological and / or laboratory data, the current length of hospital stay, and the outcome variable estimation algorithm.

The invention discloses a knowledge tracking method, system, equipment and storage medium based on causal reasoning, wherein the method includes: obtaining random variables and potential results, and determining the relationship between the random variables and potential results; Divided into confounding variables, adjustment variables and irrelevant variables; use the method of causal reasoning to analyze, and determine the conversion output of potential results according to the relationship between confounding variables, adjustment variables, random variables and potential results; according to the conversion output, determine the first target function; obtain the sample weight and determine the second objective function; determine the balance weight according to the second objective function and the sample weight, the balance weight can reduce the covariance between elements to help evaluate the causal relationship between a single variable and the outcome variable.