
BayesMendel
 Referenced in 6 articles
[sw11022]
 BayesMendel: an R environment for Mendelian risk prediction. Several important syndromes are caused by deleterious ... variant of these genes, and to predict the risk of disease for that individual, using ... information on his/her family history. Mendelian risk prediction models accomplish these goals by integrating Mendelian...

BeCoDiS
 Referenced in 15 articles
[sw15918]
 CoDiS: a mathematical model to predict the risk of human diseases spread between countries  validation ... studies the ability of the model in predicting the EVD evolution between countries starting from...

pec
 Referenced in 5 articles
[sw15816]
 package pec: Prediction Error Curves for Risk Prediction Models in Survival Analysis. Validation of risk ... predictions obtained from survival models and competing risk models based on censored data using inverse...

GAS
 Referenced in 6 articles
[sw17726]
 ValueatRisk Prediction in R with the GAS Package. GAS models have been recently ... signal extraction and prediction. This paper details how financial risk managers ... models for ValueatRisk (VaR) prediction using the novel GAS package for R. Details...

mstate
 Referenced in 32 articles
[sw04376]
 hazard estimation and prediction with AalenJohansen or simulation in competing risks and multistate...

AdaGrad
 Referenced in 157 articles
[sw22202]
 haystacks in the form of very predictive but rarely seen features. Our paradigm stems from ... give several efficient algorithms for empirical risk minimization problems with common and important regularization functions...

riskRegression
 Referenced in 2 articles
[sw19175]
 package riskRegression. Risk Regression Models and Prediction Scores for Survival Analysis with Competing Risks. Implementation ... assessing and comparing performance of risk predictions (risk markers and risk prediction models). Prediction performance ... deal with right censored data. Lists of risk markers and lists of risk models ... repeatedly splits the data, trains the risk prediction models on one part of each split...

saa
 Referenced in 2 articles
[sw20966]
 Integrative genetic risk prediction using nonparametric empirical Bayes classification. Genetic risk prediction ... sizes of the studies on which the prediction algorithms are trained. One way to increase ... approach to integrative genetic risk prediction of complex diseases with binary phenotypes. It accommodates possible...

AgenaRisk
 Referenced in 13 articles
[sw07338]
 AgenaRisk solution includes predictive analytics and scales up to organisationallevel risk monitoring and assessment...

StageNet
 Referenced in 1 article
[sw36874]
 StageAware Neural Networks for Health Risk Prediction. Deep learning has demonstrated success in health ... risk prediction especially for patients with chronic and progressing conditions. Most existing works focus ... patient data and integrate it into risk prediction. StageNet is enabled by (1) a stage ... incorporates stagerelated progression patterns into risk prediction. We evaluate StageNet on two realworld...

Zelig
 Referenced in 9 articles
[sw17526]
 such as relative risk ratios, average treatment effects, first differences and predicted and expected values...

PleioGRiP
 Referenced in 1 article
[sw10197]
 PleioGRiP: Pleiotropic Genetic Risk Prediction via Bayesian model search and classification. The program PleioGRiP performs ... classifiers can be used for genetic risk prediction, either selecting the classifier with optimal number...

obliqueRSF
 Referenced in 1 article
[sw31325]
 data indicate that the ORSF’s predicted risk function has high prognostic value in comparison ... highlight characteristics of its tenyear predicted risk function for atherosclerotic cardiovascular disease events (ASCVD...

wally
 Referenced in 1 article
[sw31334]
 wally: The Wally Calibration Plot for Risk Prediction Models. A prediction model is calibrated ... among all subjects that have a predicted risk of x%. A calibration plot provides...

PanelPRO
 Referenced in 1 article
[sw35767]
 cancer. Identifying individuals who are at high risk of cancer due to inherited germline mutations ... family history information on several cancers and predict mutations for more comprehensive panels of genes ... such class of models are Mendelian risk prediction models, which use family history information ... carrying cancer susceptibility gene mutations and predicts future risk of developing hereditary cancers associated with...

Deepr
 Referenced in 1 article
[sw40726]
 extract features from medical records and predicts future risk automatically. Deepr transforms a record into ... detects and combines predictive local clinical motifs to stratify the risk. Deepr permits transparent inspection ... validate Deepr on hospital data to predict unplanned readmission after discharge. Deepr achieves superior accuracy...

LEWICE
 Referenced in 13 articles
[sw28108]
 wind tunnel. The ice shape predictions have been validated against a wide variety of experimental ... compute various parameters associated with icing risk...

PredictABEL
 Referenced in 0 articles
[sw15384]
 package PredictABEL: Assessment of Risk Prediction Models. PredictABEL includes functions to assess the performance ... such as risk distributions, ROC curves, calibration plot, discrimination box plot and predictiveness curves ... unweighted risk scores as well as predicted risks using logistic regression analysis. These logistic regression...

PARTRAC
 Referenced in 2 articles
[sw18319]
 paves the way for superior predictions of radiation risks...

bmrm
 Referenced in 23 articles
[sw11016]
 minimization of convex and nonconvex risk under L1 or L2 regularization. Implements the algorithm ... data analysis. The applications includes: structured prediction, linear SVM, multiclass SVM, fbeta optimization...