30 results about "Survival modeling" patented technology

Methods and systems for using survival modeling methods with pipeline inspection data to determine causal factors for corrosion under insulation comprise determining a first corrosion condition of a pipeline joint at a first time; determining a second corrosion condition of the pipeline joint at a second, subsequent time; determining joint attributes, pipeline attributes, and location attributes associated with the pipeline joint; and repeating the process for a plurality of pipeline joints in one or more pipelines. This information is fed into a multiple regression and survival analysis process that determines regression coefficients reflecting the estimated degrees to which various factors contribute to corrosion under insulation. The survival analysis also determines one or more survival models capable of predicting when a given pipeline joint is likely to transition from a first corrosion state to a different second corrosion state, given values for its various attributes.

The invention provides a simulated survival ability judging method for a network information system. A work flow model for the system is established to describe the state of the structure and the performance of the system when, ideally, no failure occurs; a failure model and an error-tolerant model are established for resources with failure possibility to describe the failing process and reactionsafter the failure of a member; an information system survival model is established with combination of the two to describe the influence of certain failure resources on the whole system in a specialnetwork environment; a simulation method is adopted to inject safety events into the synthesized model, specifically including failure rate of the member, influence of invasive events on the member and survivability of the member; through statistics of accessible state information in SPN, survivability parameters of the information system service are computed to perform evaluation of the survivalability of the information system. The invention can analyze the completion quality of services of a network information system in a specific application environment according to the survival attributes of the construction members.

The invention discloses a survival prediction system for T3‑LARC patients before treatment, which includes a risk factor acquisition module, a risk factor preprocessing module, a risk factor comprehensive analysis module, an operator selection module, a survival model generation module and a survival rate display In addition, the present invention also provides a prediction method for the survival prediction system of T3‑LARC patients before treatment. The present invention can provide clinical doctors with individualized risk factor analysis of patients before treatment, predict the recurrence rate and mortality of patients in N years after operation, and provide references for clinicians to formulate individualized treatment and follow-up plans, which has important significance Clinical significance, can greatly improve the prognosis of patients, prolong survival and improve quality of life.

The present disclosure relates to a media attribution system that improves multi-channel media attribution by employing discrete-time survival modeling. In particular, the media attribution system uses event data (e.g., interactions and conversions) to generate positive and negative conversion paths, which the media attribution system uses to train an algorithmic attribution model. The media attribution system also uses the trained algorithmic attribution model to determine attribution scores for each interaction used in the conversion paths. Generally, the attribution score for an interaction indicates the effect the interaction has in influencing a user toward conversion.