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Predictive Modeling of Complications [PDF]
Current Reviews in Musculoskeletal Medicine, 2016 Predictive analytic algorithms are designed to identify patterns in the data that allow for accurate predictions without the need for a hypothesis. Therefore, predictive modeling can provide detailed and patient-specific information that can be readily applied when discussing the risks of surgery with a patient.
Christopher P Ames +2 more
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Psychometrika, 2006
Multilevel models are proven tools in social research for modeling complex, hierarchical systems. In multilevel modeling, statistical inference is based largely on quantification of random variables. This paper distinguishes among three types of random variables in multilevel modeling—model disturbances, random coefficients, and future response ...
Frees, Edward W., Kim, Jee-Seon
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Multilevel models are proven tools in social research for modeling complex, hierarchical systems. In multilevel modeling, statistical inference is based largely on quantification of random variables. This paper distinguishes among three types of random variables in multilevel modeling—model disturbances, random coefficients, and future response ...
Frees, Edward W., Kim, Jee-Seon
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MODEL IMPERFECTION AND PREDICTING PREDICTABILITY
International Journal of Bifurcation and Chaos, 2013It has been argued that Lyapunov exponents as a measure of predictability are of limited value because they only provide a global average. Characterizing an attractor by a distribution of times for initial uncertainties to increase by a factor of q has been suggested as a more useful alternative.
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12 International Workshop on Software Technology and Engineering Practice (STEP'04), 2006
A predictive software model (PSM) is any model extracted from software engineering data that can be readily used to make a prediction regarding some aspect of a software system. In this paper, we present some well known applications of predictive software models, and propose new potential applications for PSMs.
Jelber Sayyad-Shirabad +2 more
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A predictive software model (PSM) is any model extracted from software engineering data that can be readily used to make a prediction regarding some aspect of a software system. In this paper, we present some well known applications of predictive software models, and propose new potential applications for PSMs.
Jelber Sayyad-Shirabad +2 more
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Nomograms as predictive models
Seminars in Urologic Oncology, 2002Nomograms are valuable tools for estimating the likelihood of cancer being diagnosed, the pathologic features of a localized cancer, and the prognosis of a patient after treatment. Although the available nomograms are reasonably accurate, better predictive factors including additional clinical factors and new molecular analyses are needed to improve ...
James A, Eastham +2 more
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Structure prediction and modelling
Current Opinion in Biotechnology, 1991Protein structure prediction from sequence remains a major goal in molecular biology. The methods described in this review concentrate on deriving structural information through the detection of similarities between a test sequence and a database of known structures. Such methods are often referred to as knowledge-based strategies reflecting the use of
M B, Swindells, J M, Thornton
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Urologia Journal, 2013
Predictive modeling is emerging as an important knowledge-based technology in healthcare. The interest in the use of predictive modeling reflects advances on different fronts such as the availability of health information from increasingly complex databases and electronic health records, a better understanding of causal or statistical predictors of ...
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Predictive modeling is emerging as an important knowledge-based technology in healthcare. The interest in the use of predictive modeling reflects advances on different fronts such as the availability of health information from increasingly complex databases and electronic health records, a better understanding of causal or statistical predictors of ...
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Connection Science, 2009
Modelling long-term dependencies in time series has proved very difficult to achieve with traditional machine-learning methods. This problem occurs when considering music data. In this paper, we introduce predictive models for melodies. We decompose melodic modelling into two subtasks.
Paiement, Jean-François +2 more
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Modelling long-term dependencies in time series has proved very difficult to achieve with traditional machine-learning methods. This problem occurs when considering music data. In this paper, we introduce predictive models for melodies. We decompose melodic modelling into two subtasks.
Paiement, Jean-François +2 more
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Journal de gynecologie, obstetrique et biologie de la reproduction, 2013
A predictive model is a mathematical expression estimating the probability of pregnancy, by combining predictive variables, or indicators. Its development requires three successive phases: formulation of the model, its validation--internal then external--and the impact study.
Arvis, P. +4 more
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A predictive model is a mathematical expression estimating the probability of pregnancy, by combining predictive variables, or indicators. Its development requires three successive phases: formulation of the model, its validation--internal then external--and the impact study.
Arvis, P. +4 more
openaire +2 more sources