Predictive models
BUILDING PREDICTIVE MODELS OF SOIL PARTICLE-SIZE DISTRIBUTION
... build predictive models (PMs) of soil particle-size distribution (psd) in a region with complex geology and a young and unstable land-surface? The main objective of this study was to answer this ...
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Predictive Models of Work-Related Musculoskeletal Disorders (WMSDs) Among Sewing Machine Operators in the Garments Industry
... mathematical models were developed to predict the combined frequency and severity of the pain from ...these predictive models were developed in order to assist garment companies in anticipating ...
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Readmissions and death after ICU discharge: development and validation of two predictive models.
... robust predictive models, when embedded in electronic clinical information systems (as the ICU Discharge Readiness Score), might have value as a decision support tool to assist ICU leaders in making ...
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Online platform for building, testing and deploying predictive models
... building predictive models and applying new data to them, but also fully integrable, so it can be easily used by desktop, web or mobile ...build predictive applications without setting up any ...
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P ROGNOSTICM ODELLING OFB REASTC ANCERP ATIENTS – A B ENCHMARK OF PREDICTIVE MODELS WITH
... group models, such as the known NPI, the Cox proportional hazards prognostic index and the PLANN-ARD prognostic index both followed by a stratification ...the predictive model represents an analytical ...
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Predictive models of buildings energy consumption
... simpler models; but also in statistical learning theory, where the goal is to minimize over two quantities: the ’empirical risk’ and the ’structural risk’, which roughly corresponds to the error over the training ...
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INTEGRATING DATA MINING INTO BUSINESS INTELLIGENCE
... mining models. The most common approach is to import the predictive model into the database, and then generate scores by using extensions to SQL ...the Predictive Model Markup Language (PMML), OLE DB ...
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An Application of Bayesian Approach in Modeling Risk of Death in an Intensive Care Unit.
... prognostic models are commonly used to predict mortality out- comes for critically ill patients in the intensive care unit ...these predictive models usually involved the use of logistic regression ...
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Rev Bras Med Esporte vol.10 número5 en v10n5a05
... prediction models, especially the shoulder lateral rotation (movement XIX), shoulder medial rotation (movement XX) and hip adduction (move- ment VII), although with distinct ...six-movements models in- ...
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Rev. Soc. Bras. Med. Trop. vol.49 número1
... the predictive models developed and validated in our study more as examples of how to approach the problem by focusing on clinically affected animals to help improve the effi ciency of VL control programs ...
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EVALUATING THE NOVEL METHODS ON SPECIES DISTRIBUTION MODELING IN COMPLEX FOREST
... for predictive research in ecology (Elith et ...the predictive models in this study, and comparing with a classification techniques, decision tree (DT) that are commonly used in most investigations ...
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Método de avaliação de processo de negócio habilitado por tecnologia da informação
... Performance Management Quantitative predictive models that support the quantitative planning and managing of the organization’s product and service work and achievement of its perfor[r] ...
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Regionalização espectral de solos tropicais na estimativa dos atributos do solo
... prediction models for soil ...database, predictive models based on physical attributes such as sand, clay, and organic matter generate good predictions until an R 2 of ...
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MULTI MODEL DATA MINING APPROACH FOR HEART FAILURE PREDICTION
... The data intensive applications need distributed processing model. Apache Hadoop has a map reduce framework that processes the data of such applications. Azure HDInsight provides a software framework through which one ...
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Neural networks based predictive control for thermal comfort and energy savings in public buildings
... model-based predictive control methodology is applied, consisting of three major components: the predictive models, implemented by radial basis function neural networks identified by means of a ...
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A neural network based intelligent predictive sensor for cloudiness, solar radiation and air temperature
... (NARX) predictive models, the input variables and their delays must be ...of models whose number of neurons and selected input terms optimise pre-specified goals and ...
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Thenar muscles H reflex in patients with fibromyalgia: A case control study
... Eventually, to see if obtaining H-reflex can be used by clinicians to revise their pre-test estimates of the disea se (post-test probabilities), we calculated the likeli hood ratios. Regarding to the estimated 3.5 for ...
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Detecção de ruídos em problemas de classificação
... The predictive performance of a classifier for a particular dataset is often associated with the difficulty of the classification problem represented by this dataset (Lorena et ...
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Credit Risk of Financial Institutions
... three models studied proved to be significant in predicting credit rating downgrades, and more important, they appear to anticipate credit quality deterioration considerably early, except for Model ...these ...
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