Clinical prediction
A review of statistical updating methods for clinical prediction models
... Clinical prediction models (CPMs) are tools for predicting the natural course of diseases or the responses of patients to healthcare interventions, with regard to specific endpoints and observable ...
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Clinical prediction rules for failed nonoperative reduction of intussusception
... the 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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Clinical prediction rule for classifying patients with patellofemoral pain syndrome with response to patellar taping
... the clinical examination was analyzed to determine if it was a predictor of treatment ...each clinical measurement item, 2 *2 contingency tables were ...
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Survey on clinical prediction models for diabetes prediction
... Another hybrid prediction model helps in producing optimal feature subset. This helps in detecting diabetes with high accuracy. To implement the model WEKA tool is used on PIMA Indian diabetic dataset. The ...
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Clinical Prediction Rules for Children: A Systematic Review
... It is important to acknowledge the lim- itations of this systematic review. First, our electronic search strategy may not have identified all CPRs for children. However, examination of the reference lists of all identified ...
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Clinical Prediction in Early Pregnancy of Infants Small for Gestational Age by Customised Birthweight Centiles: Findings from a Healthy Nulliparous Cohort
... Detailed clinical data were collected at each time point, including demographic information, medical history, the woman’s birth- weight, previous early pregnancy losses (miscarriage or termina- tion of pregnancy), ...
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Timing of delivery in a high risk obstetric population: a clinical prediction model
... or clinical biomarkers; [20, 22] however, they have not been found to be as useful in predicting preterm birth among asymptomatic or nul- liparous women, even when combined ...on prediction models that ...
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Mind the gap: identifying what is missed when searching only the broad scope with clinical queries
... PubMed. Clinical Prediction Guides and Diagnosis were close together in terms of results for All PubMed but showed divergent behavior ...for Clinical Prediction Guides was notably higher than ...
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Combining statistical techniques to predict postsurgical risk of 1-year mortality for patients with colon cancer
... accurate prediction rule of 1-year mortality among colon cancer patients who survived for at least 30 days after ...Keywords: clinical prediction rules, colonic neoplasms, colorectal surgery, ...
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Evaluatie klinische toepasbaarheid van medische predictiemodellen
... the prediction of the models and the decisions moments in the Dutch care path the following overview is made [Figure ...The clinical prediction models may therefore be used at different places inside ...
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Towards Knowledge Sharing and Patient Privacy in a Clinical Decision Support System
... specialists, clinical data and evidence holders, and clinical prediction rule functions can interact together and contribute to the final care delivery, in a pervasive ...supporting prediction ...
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A study on the effectiveness of wells criteria for diagnosing deep vein thrombosis
... Wells Clinical Prediction Rule for Deep Venous Thrombosis DVT Clinical feature Active cancer treatment within 6 months, or palliation Paralysis, paresis, or immobilization of lower extre[r] ...
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A clinical risk prediction model for Barrett esophagus.
... There is growing interest in developing risk prediction models to assist practitioners in identifying patients who may benefit most from investigations and interventions. Models have been developed and used for a ...
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Heart Disease Prediction using Machine Learning
... In the research paper named Smartphone based ischemic heart disease (heart attack) risk prediction using clinical data and data mining approaches,a prototype design [2] M. Raihan, Saikat Mondal, Arun More, ...
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A New Prediction System of Sepsis: A Retrospective, Clinical Study
... A large number of inflammatory factors and cytokines release in SIRS patients, so abnormal coagulation and fibrinolysis often exist in these patients. Gando S showed that sepsis could lead to activation of the extrinsic ...
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Multi-omics integration for neuroblastoma clinical endpoint prediction
... improved prediction of Event-Free Survival (EFS) endpoint on combined microar- ray and aCGH data with respect to both simple juxtapo- sition and the use of the distinct datasets ...
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B lymphocyte typing for prediction of clinical response to rituximab
... the prediction of a clinical response, these drugs, which are expensive and have the potential for ser- ious toxicity, could be allotted to those patients who would benefit most ...the clinical ...
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A Clinical Risk Prediction Model Of Orthodontically Induced Root Resorption Following Fixed Appliance Therapy
... in clinical practice due to higher expenses ...this prediction model was to evaluate the contribution of several treatment factors to orthodontically induced root resorption in order to create an ...
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<p>Prediction of cardiovascular outcomes with machine learning techniques: application to the Cardiovascular Outcomes in Renal Atherosclerotic Lesions (CORAL) study</p>
... KRT has received grants from the NHLBI and the National Institute of Diabetes, Digestive, and Kidney Dis- eases (NIDDK). She has received consulting fees from Eli Lilly and Company, Amgen, and Noxxon Pharma, as well as ...
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Explainable Prediction of Medical Codes from Clinical Text
... Clinical notes are free text narratives generated by clinicians during patient encounters. They are typically accompanied by a set of metadata codes from the International Classification of Diseases (ICD), which ...
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