Regression model predicting Renal outcome at day 7
Predicting the Outcome of NFL Games Using Logistic Regression
... 7. Conclusions and Future Work We explored the effectiveness and accuracy of Logistic Regression methodology in predicting the outcome of NFL games. Our process began with transforming large ...
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A Hybrid Text Regression Model for Predicting Online Review Helpfulness
... In this ongoing study, we are currently undertaking several experiments. In addition to the Greedy Stepwise search method, we are experimenting with Best First and Genetic Search. We employed SVR as the learning ...
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Predicting 7-day, 30-day and 60-day all-cause unplanned readmission: a case study of a Sydney hospital
... logistic regression models was estimated via the c-statistic or ...each model, thresholds for these mea- sures were chosen as those that optimized the sum of sensitivity and specificity in the training ...
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Predicting Number of Zombies in DDoS Attacks Using Pace Regression Model
... Pace Regression Model In its simplest form, regression analysis [ 8,9 ] in- volves finding the best straight line relationship to explain how the variation in an outcome vari- able, Y depends ...
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PREDICTING THE MATCH OUTCOME IN ONE DAY INTERNATIONAL CRICKET MATCHES, WHILE THE GAME IS IN PROGRESS
... the outcome of one day international (ODI) cricket matches, with a large percentage of bets occurring after the game has ...linear regression model, prediction variables were numerically ...
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Correlation of the Day 3 FSH/LH Ratio and LH Concentration in Predicting IVF Outcome
... Methods: This prospective observational study was undertaken in the IVF and Re- productive Biology Centre and Lok Nayak Hospital, affiliated to Maulana Azad Medical College, in New Delhi, India. The study included 105 ...
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The role of brain natriuretic peptide in predicting renal outcome and fluid management in critically ill patients
... worse renal outcome groups in the distributions of the continuous variables and categorical ...logistic regression models to estimate the effect of predictors on the binary ...
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Artificial neural network, genetic algorithm, and logistic regression applications for predicting renal colic in emergency settings
... 3=radiation to the back for GA codes Statistical analyses Artificial neural network A feed-forward ANN with back-propagation was per- formed by JMP (release 6.0, a business unit of SAS). In large data sets, a data set is ...
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Ordinal Regression Analysis: Predicting Mathematics Proficiency Using the Continuation Ratio Model
... previous day in math class, listening to teachers’ lectures, doing problem solving in class, using general calculators, using graphing calculators and explaining work orally, had positive effects on the odds of ...
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A Generic Model Of Predicting Probability Of Success-Distress Of An Organization: A Logistic Regression Analysis
... a model comprised of accrual-based variables is that firm management can manipulate different components and make the balance sheet and income statement misleading (Wanuga ...the day- to-day cash ...
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Predicting Student Outcome Measures Using the ASCA National Model Program Audit
... school outcome measures. Simple linear regression analyses were conducted to determine whether degree of model program implementation was a significant predictor of student outcomes of achievement ...
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Predicting the Outcome of Neonatal Bacterial Meningitis
... graphic model that can be grasped intuitively by ...and regression tree methodology creates binary de- cision ...predictive model is ...with outcome in univariate anal- ysis, but only the ...
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An evidence based decision assistance model for predicting training outcome in juvenile guide dogs
... One regression analysis was conducted for the 5M, 8M and 12M assessments with each type of z-scores for each scale as the dependent variable and training outcome as the independent ...assistance ...
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Formation of translational risk score based on correlation coefficients as an alternative to Cox regression models for predicting outcome in patients with NSCLC
... Cox model use all available information including non-clinical information from genes and proteins, therapeutic interventions and genetic polymorphism or co- ...disease outcome in a small cohort of patients ...
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Pre eclampsia : predicting onset and poor outcome
... Logistic regression models with the outcome pre-eclampsia and the null hypothesis that model coefficients are not different between racial groups were used to generate odds ratios to test the ...
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Predicting Motor Outcome in Acute Intracerebral Hemorrhage
... Several limitations warrant comment. This single-center study included too few patients to draw definite conclusions. Future studies with larger samples will enable regression analyses to as- sess associations in ...
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Urolithiasis Associated with Renal Insufficiency Factors Predicting Outcome: Prospective study
... The second phenomenon, which is most likely responsible for calcium oxalate stones, is deposition of stone material on a renal papillary calcium phosphate nidus, typically a Randall plaque. Calcium phosphate ...
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A logistic regression model for predicting the occurrence of intense geomagnetic storms
... the model is only moderately successful in predicting super-intense geomagnetic ...present model have been identified on the basis of current understanding, which may not adequately explain the ...
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Proposing Regression Model for Predicting More Accurate Integer Sequences
... accuracy, regression, machine ...prediction model. Once trained, the model is used to perform sequence ...of predicting the next items of a ...
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Validation of DAB2IP methylation and its relative significance in predicting outcome in renal cell carcinoma
... Vol. 7, ...in predicting outcome in renal cell carcinoma Zong-Ren Wang 1,2,* , Jin-Huan Wei 1,* , Jian-Cheng Zhou 3,* , Ahmed Haddad 2,* , Liang- Yun Zhao 4 , Payal Kapur 5 , Kai-Jie Wu 6 , ...
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