A comparison of logistic regression models with alternative machine learning methods to predict the risk of in-hospital mortality in emergency medical admissions via external validation

Machine Learning for Predicting Sepsis In-hospital Mortality: An Important Start

(2016) Halden Scott et al.   ACADEMIC EMERGENCY MEDICINE

Multicenter Comparison of Machine Learning Methods and Conventional Regression for Predicting Clinical Deterioration on the Wards

(2016) Matthew M. Churpek et al.   CRITICAL CARE MEDICINE

Modern modeling techniques had limited external validity in predicting mortality from traumatic brain injury

(2016) Tjeerd van der Ploeg et al.   JOURNAL OF CLINICAL EPIDEMIOLOGY

The use of machine learning for the identification of peripheral artery disease and future mortality risk

(2016) Elsie Gyang Ross et al.   JOURNAL OF VASCULAR SURGERY

Mortality risk prediction in burn injury: Comparison of logistic regression with machine learning approaches

(2015) Neophytos Stylianou et al.   BURNS

Prediction of mortality after radical cystectomy for bladder cancer by machine learning techniques

(2015) Guanjin Wang et al.   COMPUTERS IN BIOLOGY AND MEDICINE

External validation of new risk prediction models is infrequent and reveals worse prognostic discrimination

(2015) George C.M. Siontis et al.   JOURNAL OF CLINICAL EPIDEMIOLOGY

Nonlinear modeling was applied thoughtfully for risk prediction: the Prostate Biopsy Collaborative Group

(2015) Daan Nieboer et al.   JOURNAL OF CLINICAL EPIDEMIOLOGY

External validation of multivariable prediction models: a systematic review of methodological conduct and reporting

(2014) Gary S Collins et al.   BMC Medical Research Methodology

Predicting risk of emergency admission to hospital using primary care data: derivation and validation of QAdmissions score

(2013) Julia Hippisley-Cox et al.   BMJ Open

pROC: an open-source package for R and S+ to analyze and compare ROC curves

(2011) Xavier Robin et al.   BMC BIOINFORMATICS

Assessing the Performance of Prediction Models

(2009) Ewout W. Steyerberg et al.   EPIDEMIOLOGY

Quantile regression and restricted cubic splines are useful for exploring relationships between continuous variables

(2009) Ruth Ann Marrie et al.   JOURNAL OF CLINICAL EPIDEMIOLOGY