暂无分享,去创建一个
[1] Aram Galstyan,et al. Multitask learning and benchmarking with clinical time series data , 2017, Scientific Data.
[2] Jure Leskovec,et al. Inductive Representation Learning on Large Graphs , 2017, NIPS.
[3] Quoc V. Le,et al. Unsupervised Pretraining for Sequence to Sequence Learning , 2016, EMNLP.
[4] David J. Hand,et al. A Simple Generalisation of the Area Under the ROC Curve for Multiple Class Classification Problems , 2001, Machine Learning.
[5] Peter Szolovits,et al. The Use of Autoencoders for Discovering Patient Phenotypes , 2017, ArXiv.
[6] David Sontag,et al. Learning Low-Dimensional Representations of Medical Concepts , 2016, CRI.
[7] Charles Elkan,et al. Learning to Diagnose with LSTM Recurrent Neural Networks , 2015, ICLR.
[8] Jimeng Sun,et al. Using recurrent neural network models for early detection of heart failure onset , 2016, J. Am. Medical Informatics Assoc..
[9] Sandra G Brauer,et al. Prediction of discharge destination after stroke using the motor assessment scale on admission: a prospective, multisite study. , 2008, Archives of physical medicine and rehabilitation.
[10] G. Moody,et al. Predicting in-hospital mortality of ICU patients: The PhysioNet/Computing in cardiology challenge 2012 , 2012, 2012 Computing in Cardiology.
[11] Samuel S. Schoenholz,et al. Neural Message Passing for Quantum Chemistry , 2017, ICML.
[12] Constantine Frangakis,et al. Multiple imputation by chained equations: what is it and how does it work? , 2011, International journal of methods in psychiatric research.
[13] Jeffrey Dean,et al. Scalable and accurate deep learning with electronic health records , 2018, npj Digital Medicine.
[14] Mathias Niepert,et al. Learning Graph Representations with Embedding Propagation , 2017, NIPS.
[15] Sean L. Barnes,et al. Real-time prediction of inpatient length of stay for discharge prioritization , 2016, J. Am. Medical Informatics Assoc..
[16] D. Rubin. INFERENCE AND MISSING DATA , 1975 .
[17] Jimeng Sun,et al. RETAIN: An Interpretable Predictive Model for Healthcare using Reverse Time Attention Mechanism , 2016, NIPS.
[18] Jürgen Schmidhuber,et al. Long Short-Term Memory , 1997, Neural Computation.
[19] Walter F. Stewart,et al. Doctor AI: Predicting Clinical Events via Recurrent Neural Networks , 2015, MLHC.
[20] David C. Kale,et al. Modeling Missing Data in Clinical Time Series with RNNs , 2016 .
[21] Richard Walker,et al. PD Disease State Assessment in Naturalistic Environments Using Deep Learning , 2015, AAAI.
[22] Peter Szolovits,et al. MIMIC-III, a freely accessible critical care database , 2016, Scientific Data.
[23] Jun S. Kim,et al. Predictors for Patient Discharge Destination After Elective Anterior Cervical Discectomy and Fusion , 2017, Spine.
[24] T. Lasko,et al. Computational Phenotype Discovery Using Unsupervised Feature Learning over Noisy, Sparse, and Irregular Clinical Data , 2013, PloS one.
[25] Steven Skiena,et al. DeepWalk: online learning of social representations , 2014, KDD.
[26] G.B. Moody,et al. Similarity-based searching in multi-parameter time series databases , 2008, 2008 Computers in Cardiology.
[27] Gaël Varoquaux,et al. Scikit-learn: Machine Learning in Python , 2011, J. Mach. Learn. Res..
[28] Benjamin M. Marlin,et al. Unsupervised pattern discovery in electronic health care data using probabilistic clustering models , 2012, IHI '12.
[29] S. Bagg,et al. The Berg balance scale as a predictor of length of stay and discharge destination in an acute stroke rehabilitation setting. , 1999, Archives of physical medicine and rehabilitation.
[30] Max Welling,et al. Semi-Supervised Classification with Graph Convolutional Networks , 2016, ICLR.
[31] Yan Liu,et al. Deep Computational Phenotyping , 2015, KDD.