risk prediction model
Mortality Risk for Acute Cholangitis (MAC): a risk prediction model for in-hospital mortality in patients with acute cholangitis
... Forest model achieved the best (cross-)validated performance to predict ...mortality risk, we propose to stratify patients with acute cholangitis into a high and low risk ...the model ’ s ...
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Construction of Risk Prediction Model for Alzheimer’s Disease Based on Meta Analysis
... analysis model, which is often used for automatic diagnosis of diseases, exploring risk factors for causing diseases and predicting the probability of dis- ease occurrence according to risk factors, ...
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Validation of a risk prediction model for Barrett's esophagus in an Australian population
... resulting risk prediction model included the variables such as age, gender, individual history of hypertension, individual history of acid regurgitation, first-degree family history of reflux, number ...
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Development of Neurobehavioral Deterioration Risk Prediction Model for Welder: A Proposed Study
... Abstract: Risk prediction model estimate the risk of emerging upcoming outcomes for individual based on several underlying ...high risk to expose with the toxicant element which can ...
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A clinical risk prediction model for Barrett esophagus.
... clinical risk prediction model for BE based on existing data from a large, population-based ...of risk factors to predict the presence of BE in patients with GER ...some risk factors, ...
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A Clinical Risk Prediction Model Of Orthodontically Induced Root Resorption Following Fixed Appliance Therapy
... clinical risk prediction model identifies, four variables affecting the extent of orthodontically induced root resorption which are treatment duration, gender, age and thickness of alveolar ...this ...
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Risk prediction model for knee pain in the Nottingham Community: a Bayesian modeling approach
... lower risk of knee ...key risk factors at baseline between the two populations, such as age, BMI and injury (Table ...the model lost its power to differentiate the cases in hospi- tals, because those ...
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Developing a risk prediction model for the functional outcome after hip arthroscopy
... Some potential limitations of our study have to be discussed. We had to define improved functional out- come after hip arthroscopy (composite of HOS-ADL score above 80 or increase of 23 points). Despite the limitations ...
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An Improved Accident Crash Risk Prediction Model Based On Driving Outcomes Using Ensemble Of Prediction Algorithms
... crash risk accident ...crash risk and do not need to provide an argument ...regression model to identify factors caused individual driver risk and K-mean cluster algorithm for classification ...
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Software Requirement Engineering Risk Prediction Model
... d) TSPRG (TSPR Goal) - Internal algorithmic approach for TSPRG attribute is to process CE and DM to develop PSM. Hence PSM shows balanced operations with respect to the project deadline. If project success matrix, PSM = ...
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Prediction Model For Risk Of Breast Cancer Considering Interaction Between The Risk Factors
... the model. Validation sample was used to test the predictive model with estimates derived from the model of training ...the risk prediction model for breast cancer can be ...
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A new computational model for human thyroid cancer enhances the preoperative diagnostic efficacy
... a risk prediction model named thyroid malignancy risk scoring system (TMRS) for the differential preoperative diagnosis for thyroid cancers (Figure ...
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Using matrix assisted laser desorption ionisation mass spectrometry (MALDI-MS) profiling in order to predict clinical outcomes of patients with heart failure
... There is no single effective parameter to predict clinical outcomes in patients with HF. Therefore, several mod- els have been applied to predict mortality and HF hos- pitalization in patients with HF. In a ...
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RiGoR: reporting guidelines to address common sources of bias in risk model development
... in risk model development Currently, two sources of bias that arise in developing risk prediction models from combinations of biomarkers and/or clinical variables are both called “ optimistic ...
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<p>A clinical prediction model for hospitalized COPD exacerbations based on “treatable traits”</p>
... the model for identifying high-risk patients (defined as experiencing $1 hospitalized exacerbations) was assessed with area under the curve (AUC) and receiver operating characteristics analyses, and ...
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A discriminant analysis prediction model of non syndromic cleft lip with or without cleft palate based on risk factors
... NSCL/P risk prediction model had good specificity, while the sensitivity was not ...correct prediction for the NSCL/P cases) and the specificities (the rates of correct prediction for ...
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PubMedCentral-PMC5860526.pdf
... of risk factors provide valuable information on an individual ’ s risk trajectory over time and his or her within-person ...of risk predictors in the prediction of CVD risk has been ...
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Determining Risk of Barrett’s Esophagus and Esophageal Adenocarcinoma Based on Epidemiologic Factors and Genetic Variants
... a risk prediction model for BE and EAC combining non-genetic (demographics, lifestyle factors, and GERD symptoms) and genetic ...this risk assessment study demonstrate that our combined ...
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Nonparametric Risk Bounds for Time-Series Forecasting
... particular prediction functions out of some class of plausible alternatives so that, with high reliability, the resulting predictions will be nearly as accurate as possible (“probably approximately ...immediate ...
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DEVELOPMENT OF A CRASH RISK PROBABILITY MODEL FOR FREEWAYS BASED ON HAZARD PREDICTION INDEX
... crash risk probability model called Crash Risk Prediction ...This model is formulated by using traffic parameters ...developed model can predict crash risks with appropriate ...
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