Results 81 to 90 of about 16,211 (118)

Nomograms as predictive models

Seminars in Urologic Oncology, 2002
Nomograms 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, Michael W, Kattan, Peter T, Scardino   +2 more
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Structure prediction and modelling

Current Opinion in Biotechnology, 1991
Protein 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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MODEL IMPERFECTION AND PREDICTING PREDICTABILITY

International Journal of Bifurcation and Chaos, 2013
It 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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Predictive Models in Urology

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 Software Models

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, Stan Matwin, Timothy C. Lethbridge   +2 more
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Predictive models for music

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, Grandvalet, Yves, Bengio, Samy   +2 more
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Approaches to predictive modeling

The Annals of Thoracic Surgery, 1994
A four-component clinical model for process improvement is presented: (1) patient-related risk factors, (2) clinical processes ordered by the attending physician, (3) the hospital's execution of the physician's plan, and (4) the patient's outcome, or outcomes, resulting from the first three factors.
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Model Assessment for Predictive Classification Models

Communications in Statistics - Theory and Methods, 2010
In this article, we present a novel methodology to assess predictive models for a binary target. In our opinion, the main weakness of the criteria proposed in the literature is not to take the financial costs of a wrong decision into account. The objective of this article is to derive the optimal cut-off in predictive classification models and to ...
UBERTI, PIERPAOLO, Figini S.
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Models for Prediction Purposes

Journal of Mental Science, 1959
It is natural for psychiatrists and others dealing with mental patients to enquire what the prognosis is for a patient showing certain symptoms or syndromes of symptoms—taking age and the history of the patient's illness into account. The very fact that the symptoms generally form syndromes points to their interdependence to a greater or lesser degree,
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A prediction model for bovine ostertagiasis

Veterinary Record, 1979
A mathematical model based on development and mortality rates, and incorporating data on the infectivity, fecundity and migratory behaviour of Ostertagia ostertagi, was used to predict the level of pasture contamination and the occurrence of clinical ostertagiasis in grazing calves during 1975 and 1976. A comparison of the predicted and observed events
Gettinby, G., Bairden, K., Armour, J., Benitezusher, C.   +3 more
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