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Models for Prediction Purposes
Journal of Mental Science, 1959It 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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Model Assessment for Predictive Classification Models
Communications in Statistics - Theory and Methods, 2010In 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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Applications of Prediction Models
2008In this chapter, we consider several areas of application of prediction models in public health, clinical practice, and medical research. We use several small case studies for illustration.
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Structure prediction and modelling
Current Biology, 1992Cracking the second fundamental code of molecular biology (how the tertiary structure of a protein is determined by its amino acid sequence) remains an elusive goal. However, the impetus to establish credible approximations, if not a definitive solution to this relationship, has never been greater.
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A prediction model for bovine ostertagiasis
Veterinary Record, 1979A 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. +3 more
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A Model For Prediction Of Endometrial Cancer
Acta Obstetricia et Gynecologica Scandinavica, 1989An epidemiological statistical model was designed to identify women at low and high risk of developing endometrial cancer (EC). The model was based on a number of easily identified clinical factors such as hirsutism, parity, diabetes mellitus, body mass index (BMI) and smoking.
E, Dahlgren +4 more
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Approaches to predictive modeling
The Annals of Thoracic Surgery, 1994A 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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Predictive Resilience Modeling
2022 52nd Annual IEEE/IFIP International Conference on Dependable Systems and Networks - Supplemental Volume (DSN-S), 2022openaire +2 more sources
JANOS: An Integrated Predictive and Prescriptive Modeling Framework
INFORMS Journal on Computing, 2022Teng Huang, Andrea Lodi, David Bergman
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