risk prediction
Disease risk prediction with rare and common variants
... The association between disease and common SNPs (MAF ≥ 5%) is evaluated using Fisher’s exact test by com- paring allele counts between case subjects and control subjects. SNPs with p-values less than a prespecified ...
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Financial Sentiment Analysis for Risk Prediction
... This paper attempts to identify the impor- tance of sentiment words in financial re- ports on financial risk. By using a finance- specific sentiment lexicon, we apply re- gression and ranking techniques to ana- ...
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Cardiovascular risk assessment - From individual risk prediction to estimation of global risk and change in risk in the population
... these risk prediction tools, intended for individualized patients, to translate into larger population-based health ...existing risk equations is ...traditional risk fac- tors ...of ...
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Mammographic density, breast cancer risk and risk prediction
... independent risk factor for breast cancer, describe the risk prediction models that have incorporated density, and discuss the current and future implications of using mammographic density in ...
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Family-based genetic risk prediction of multifactorial disease
... genetic risk prediction and the subsequent opportunities of personalised medicine remains difficult ...of risk, compared to genotype data for known risk variants ...in prediction for ...
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Risk prediction in adult congenital heart disease
... high risk, interventions will be considered, aimed at preventing adverse ...Moreover, risk prediction is essential to provide accurate patient information, to determine adequate follow-up strategies, ...
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Software Requirement Engineering Risk Prediction Model
... Find the design attributes In this section risk prediction model with TSPR methodology is explained. In the light of section-III and IV, author developed an algorithm to implement TSPR approach driven web ...
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An Ensemble Multilabel Classification for Disease Risk Prediction
... It is important to identify and prevent disease risk as early as possible through regular physical examinations. We formulate the disease risk prediction into a multilabel classi fi cation problem. A ...
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Measuring improvement in fracture risk prediction for a new risk factor: a simulation
... the risk of an outcome are receiv- ing considerable attention in the clinical ...in risk prediction when a new risk factor is added to an existing model is of particular interest because new ...
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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, notably ...
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Does the inclusion of rare variants improve risk prediction?
... high risk for hypertension has motivated researchers across a spectrum of ...of risk prediction is the identification of genetic variants linked to traits such as high blood ...
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The coronary calcium score for risk prediction
... events, risk scores have been developed, includ- ing the Heart Score of the European Society of ...current risk scores are, however, the exclusion of signs of atherosclero- sis, the underlying aetiology of ...
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Estimating the capacity for improvement in risk prediction with a marker
... high risk of having disease and who therefore are candidates for invasive, costly diagnostic ...high risk of future onset of diseases, such as cancer or diabetes, or of future catastrophic events, such as ...
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Machine learning derived risk prediction of anorexia nervosa
... In this report, we compared multiple machine learn- ing methods LR, SVM and GBM. Results suggested that LR and SVM are similar in terms of AUC values, while GBM showed lower performance. From a practical per- spective, ...
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Structure-Leveraged Methods in Breast Cancer Risk Prediction
... cancer risk prediction. Our models use diverse breast cancer risk factors including demographics, genetics, and imaging and leverage struc- ture found in a standardized lexicon that is universally ...
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The Stock Price Crash Risk Prediction by Neural Network
... crash risk prediction model for the purpose of helping investors to avoid purchasing stocks that are subject to high crash risk and helping regulators to increase the stability of financial ...crash ...
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Risk prediction with genomic data
... disease risk prediction with whole exome sequencing data, namely Whole Exome Wide Association Study ...for prediction. A substantial improvement in the prediction accuracy is achieved using ...
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Nottingham knee osteoarthritis risk prediction models
... high risk of knee OA and only measured tibiofemoral OA, whereas Nottingham measured tibiofemoral and patellofemo- ral ...not prediction of the disease as it is a case-control study and the population was ...
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Risk Prediction Techniques In Antenatal Care: A Review
... John R. Crochet et al (2013) reviewed the methods of predicting the ectopic pregnancy. The presence of ectopic pregnancy can be identified best with the help of Transvaginal sonography, which examines the internal pelvic ...
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Development and Application of Chronic Disease Risk Prediction Models
... identified risk factors for women under the age of 50 were a family history of breast cancer in first-degree relatives, age at men- arche, age at first full-term pregnancy, menopausal status, breastfeeding ...
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