Early practical experience, based upon empirical observations strongly indicates that using classes as the basis for eeort estimation, can help to achieve DeMarco's holy grail. In providing evidence for this claim this position paper will describe (i) empirical size observations; (ii) estimations processes, based upon these observations ; and (iii) initial experiences using these processes. Thi...

In recent years, many multivariable prediction models are proposed to deal with clinical uncertainty in both the diagnostic and prognostic settings.1 It is increasing the need to appraise the studies of the models to understand when and how to use.1 We can use PICO framework: Patients, Intervention, Comparator, and Outcome to deal with therapy studies.2 But there is no such formulation for pred...

This study presents a review of biodegradability modeling efforts including a detailed assessment of two models developed using an artificial intelligence based methodology. Validation results for these models using an independent, quality reviewed database, demonstrate that the models perform well when compared to another commonly used biodegradability model, against the same data. The ability...

A plasticity-fracture constitutive model is presented for prediction of the behavior of confined plain concrete. A three-parameter yield surface is used to define the elastic limit. Volumetric plastic strain is defined as hardening parameter, which together with a nonlinear plastic potential forms a non-associated flow rule. The use of non-associated flow rule improves the prediction of the dil...

Objective: the present meta-analysis was designed to determine the value of Pediatric Emergency Care Applied Research Network (PECARN) rule in prediction of clinically important traumatic brain injury (ciTBI).Methods: Extensive search was conducted in the databases of Medline, Embase, Scopus, Web of Sciences, Cinahl up to the end of August 2017. The search records were screened and summarized b...

An interesting application of association mining in the context temporal databases is that of prediction. Prediction is to use the antecedent of a rule to predict the consequent of the rule. But not all of association rules may be suitable for prediction. In this paper, we investigate the properties of rules for prediction, and develop an approach called prediction mining — mining a set of asso...

OBJECTIVE To provide an overview of the research steps that need to follow the development of diagnostic or prognostic prediction rules. These steps include validity assessment, updating (if necessary), and impact assessment of clinical prediction rules. STUDY DESIGN AND SETTING Narrative review covering methodological and empirical prediction studies from primary and secondary care. RESULT...