prediction rules
How well do clinical prediction rules perform in identifying serious infections in acutely ill children across an international network of ambulatory care datasets?
... clinical prediction rules for identifying children with serious infections in emergency departments and urgent-access primary care), the National Institute for Health Research National School for Primary ...
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Learning Ensembles of Structured Prediction Rules
... tion problem we consider. Here, we present two families of algorithms for learning ensembles of structured prediction rules that both perform well in practice and enjoy strong theoretical guaran- tees. In ...
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Use of Traumatic Brain Injury Prediction Rules With Clinical Decision Support
... We included 5 sites in the PECARN and 8 sites in a northern California Kaiser Permanente ED research network (Clinical Research on Emergency Services and Treatment [CREST] network). The PECARN sites included 4 ...
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Framework for the impact analysis and implementation of Clinical Prediction Rules (CPRs)
... The International Diagnosis and Prognosis Prediction (IDAPP) group has recently been established. This colla- borative group includes researchers and clinicians with an interest in Clinical Prediction ...
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Clinical prediction rules for failed nonoperative reduction of intussusception
... clinical prediction rules, and the factors were as follows: body weight ,12 kg (relative risk [RR] ...P=0.023). Prediction scores ranged from 0 to ...
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Validation of the prediction rules identifying drug-resistant pathogens in community-onset pneumonia
... This study had some limitations. First, outpatients were not included in this study. Therefore, the results of this study should be applied in only patients admitted to the hospital. Second, the pathogens identified in ...
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Framing Qualitative Bankruptcy Prediction Rules Using Ant Colony Algorithm
... generated rules and also give a positive feedback in rule ...generated rules can be grouped using the concept of Association Rule Mining technique and can avoid the redundancy of ...representative ...
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A simplified approach to the pooled analysis of calibration of clinical prediction rules for systematic reviews of validation studies
... intermediate, 4–5; high, 6–7 points). Then, by using our new method, we successfully computed predicted values in all included validation studies and obtained pooled estimates of “predicted:observed” RRs with their 95% ...
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Clinical Prediction Rules for Children: A Systematic Review
... 101 rules assessed by using the EBMWG hierarchy, only 8 rules for health conditions of childhood would be considered “rules that can be used in various settings with confidence in their accuracy” ...
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Predicting next page access by Markov models and association rules on web log data
... Association rules (Agraval and Srikant, 1994) were proposed to capture the co-occurrence of buying different items in a supermarket ...association rules refer to set of pages that are accessed together with ...
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Prediction of intracranial findings on CT-scans by alternative modelling techniques
... developing prediction rules for intracranial findings in patients with minor head injury than model- ling based on conventional modelling techniques such as logistic ...
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Using Markov Model and Association Rules for Web Access Prediction
... of rules. They consist of five rules; called subset rule, subsequence rule, latest-subsequence rule, substring rule and latest-substring ...association rules using non-empty subsets of URLs, ...
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Mango Fruit Quality Prediction using Associative Classification Rules
... all rules satisfying a minimum support threshold and a minimum confidence thresh- ...the rules is the pre-defined class label for the classification ...association rules are considered interesting if ...
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A Hybrid Associative Classification Model for Software Development Effort Estimation
... association rules. The association rules depict the parameters influencing the software development ...of rules get generated and can reduce the complexity, the generated rules are filtered ...
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Temporal Information Extraction from Korean Texts
... and rules. We tried a combination of the rules and machine-learning models, and the combination led to an increase in the ...and rules gives better performance than us- ing only ...the rules ...
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FUZZY LOGIC APPLICATION IN GREEN TRANSPORT - PREDICTION OF FREIGHT TRAIN ENERGY CONSUMPTION
... fuzzy rules. However, fuzzy rules that could be defined according to data from the past most often do not reproduce all possible situations, which could emerge as a result of input variables membership ...
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A system of serial computation for classified rules prediction in non regular ontology trees
... induction rules for agent classification learning in regular ...and prediction of rules in non-regular ontology ...induction rules for non-regular ...and prediction in non-regular ...
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Churn Identification in Microblogs using Convolutional Neural Networks with Structured Logical Knowledge
... In the Natural Language Processing (NLP) community, there has been much work to aug- ment the training process with additional and use- ful features (Collobert et al., 2011) which proved its success in various NLP ...
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Heart Disease Prediction Using Soft Computing
... Abstract— Large number of people has being affected due to heart disease and it has become a major problem. One of such threat is Cardiovascular Disease (CVD). If it is not treated and detected at an early and proper ...
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Prediction of Criminal Suspects Based on Association Rules and Tag Clustering
... association rules have different levels of support and ...two rules, indica- tive of a smaller likelihood of the criminal suspect 6deab8199c xxxxxxxx being an actual ...
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