End-to-End Deep Learning Vector Autoregressive Prognostic Models to Predict Disease Progression with Uneven Time Intervals

[1]  W. Youden,et al.  Index for rating diagnostic tests , 1950, Cancer.

[2]  E. DeLong,et al.  Comparing the areas under two or more correlated receiver operating characteristic curves: a nonparametric approach. , 1988, Biometrics.

[3]  Robert Tibshirani,et al.  Quantitative SD-OCT imaging biomarkers as indicators of age-related macular degeneration progression. , 2014, Investigative ophthalmology & visual science.

[4]  A. Lagares,et al.  A Prognostic Model Based on Preoperative MRI Predicts Overall Survival in Patients with Diffuse Gliomas , 2014, American Journal of Neuroradiology.

[5]  F. Arcadu,et al.  Deep learning algorithm predicts diabetic retinopathy progression in individual patients. , 2019, NPJ digital medicine.

[6]  Michael S. Bernstein,et al.  ImageNet Large Scale Visual Recognition Challenge , 2014, International Journal of Computer Vision.

[7]  A. Peters,et al.  A Deep Learning Algorithm for Prediction of Age-Related Eye Disease Study Severity Scale for Age-Related Macular Degeneration from Color Fundus Photography. , 2018, Ophthalmology.

[8]  Xavier Robin,et al.  pROC: an open-source package for R and S+ to analyze and compare ROC curves , 2011, BMC Bioinformatics.

[9]  H. Katus,et al.  Prognostic value of novel imaging parameters derived from standard cardiovascular magnetic resonance in high risk patients with systemic light chain amyloidosis , 2019, Journal of Cardiovascular Magnetic Resonance.

[10]  E. Elkin,et al.  Decision Curve Analysis: A Novel Method for Evaluating Prediction Models , 2006, Medical decision making : an international journal of the Society for Medical Decision Making.

[11]  Adnan Tufail,et al.  Evaluation of age-related macular degeneration with optical coherence tomography. , 2012, Survey of ophthalmology.

[12]  G. Brier VERIFICATION OF FORECASTS EXPRESSED IN TERMS OF PROBABILITY , 1950 .

[13]  Ewout Steyerberg,et al.  Net Reclassification Improvement: Computation, Interpretation, and Controversies , 2014, Annals of Internal Medicine.

[14]  Kyong Hwan Jin,et al.  Predicting cognitive decline with deep learning of brain metabolism and amyloid imaging , 2017, Behavioural Brain Research.

[15]  Richard Wormald,et al.  The estimated prevalence and incidence of late stage age related macular degeneration in the UK , 2012, British Journal of Ophthalmology.