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  2. Prognosis - Wikipedia

    en.wikipedia.org/wiki/Prognosis

    Prognosis (Greek: πρόγνωσις "fore-knowing, foreseeing"; pl.: prognoses) is a medical term for predicting the likelihood or expected development of a disease, including whether the signs and symptoms will improve or worsen (and how quickly) or remain stable over time; expectations of quality of life, such as the ability to carry out daily activities; the potential for complications and ...

  3. Prognostics - Wikipedia

    en.wikipedia.org/wiki/Prognostics

    Data-driven prognostics usually use pattern recognition and machine learning techniques to detect changes in system states. [3] The classical data-driven methods for nonlinear system prediction include the use of stochastic models such as the autoregressive (AR) model, the threshold AR model, the bilinear model, the projection pursuit, the multivariate adaptive regression splines, and the ...

  4. Predictive modelling - Wikipedia

    en.wikipedia.org/wiki/Predictive_modelling

    The first clinical prediction model reporting guidelines were published in 2015 (Transparent reporting of a multivariable prediction model for individual prognosis or diagnosis (TRIPOD)), and have since been updated. [10] Predictive modelling has been used to estimate surgery duration.

  5. Prediction - Wikipedia

    en.wikipedia.org/wiki/Prediction

    Prognosis (Greek: πρόγνωσις "fore-knowing, foreseeing"; pl.: prognoses) is a medical term for predicting the likelihood or expected development of a disease, including whether the signs and symptoms will improve or worsen (and how quickly) or remain stable over time; expectations of quality of life, such as the ability to carry out ...

  6. Prognostic variable - Wikipedia

    en.wikipedia.org/wiki/Prognostic_variable

    A prognostic variable in engineering within the context of prognostics, is a measured or estimated variable that is correlated with the health condition of a system, and may be used to predict its residual useful life.

  7. Model for End-Stage Liver Disease - Wikipedia

    en.wikipedia.org/wiki/Model_for_End-Stage_Liver...

    The Model for End-Stage Liver Disease, or MELD, is a scoring system for assessing the severity of chronic liver disease.It was initially developed to predict mortality within three months of surgery in patients who had undergone a transjugular intrahepatic portosystemic shunt (TIPS) procedure, [1] and was subsequently found to be useful in determining prognosis and prioritizing for receipt of ...

  8. Clinical prediction rule - Wikipedia

    en.wikipedia.org/wiki/Clinical_prediction_rule

    In a prediction rule study, investigators identify a consecutive group of patients who are suspected of having a specific disease or outcome. The investigators then obtain a standard set of clinical observations on each patient and a test or clinical follow-up to define the true state of the patient.

  9. Survival analysis - Wikipedia

    en.wikipedia.org/wiki/Survival_analysis

    The likelihood function for a survival model, in the presence of censored data, is formulated as follows. By definition the likelihood function is the conditional probability of the data given the parameters of the model. It is customary to assume that the data are independent given the parameters.