Incorporating medical code descriptions for diagnosis prediction in healthcare
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Jing Zhou | Fenglong Ma | Jing Gao | Radha Chitta | Houping Xiao | Yaqing Wang | Ye Yuan | Jing Gao | Fenglong Ma | Ye Yuan | Radha Chitta | Jing Zhou | Houping Xiao | Yaqing Wang
[1] Jimeng Sun,et al. RETAIN: An Interpretable Predictive Model for Healthcare using Reverse Time Attention Mechanism , 2016, NIPS.
[2] Jimeng Sun,et al. LEAP: Learning to Prescribe Effective and Safe Treatment Combinations for Multimorbidity , 2017, KDD.
[3] Svetha Venkatesh,et al. $\mathtt {Deepr}$: A Convolutional Net for Medical Records , 2016, IEEE Journal of Biomedical and Health Informatics.
[4] Kuldip K. Paliwal,et al. Bidirectional recurrent neural networks , 1997, IEEE Trans. Signal Process..
[5] Fenglong Ma,et al. Risk Prediction on Electronic Health Records with Prior Medical Knowledge , 2018, KDD.
[6] Fenglong Ma,et al. KAME: Knowledge-based Attention Model for Diagnosis Prediction in Healthcare , 2018, CIKM.
[7] Fenglong Ma,et al. A novel channel-aware attention framework for multi-channel EEG seizure detection via multi-view deep learning , 2018, 2018 IEEE EMBS International Conference on Biomedical & Health Informatics (BHI).
[8] Ping Zhang,et al. Risk Prediction with Electronic Health Records: A Deep Learning Approach , 2016, SDM.
[9] Fei Wang,et al. Deep learning for healthcare: review, opportunities and challenges , 2018, Briefings Bioinform..
[10] Matthew D. Zeiler. ADADELTA: An Adaptive Learning Rate Method , 2012, ArXiv.
[11] Fenglong Ma,et al. Multi-task Sparse Metric Learning for Monitoring Patient Similarity Progression , 2018, 2018 IEEE International Conference on Data Mining (ICDM).
[12] Charles Elkan,et al. Learning to Diagnose with LSTM Recurrent Neural Networks , 2015, ICLR.
[13] Geoffrey E. Hinton,et al. Visualizing Data using t-SNE , 2008 .
[14] Yu Cheng,et al. Boosting Deep Learning Risk Prediction with Generative Adversarial Networks for Electronic Health Records , 2017, 2017 IEEE International Conference on Data Mining (ICDM).
[15] Yan Liu,et al. Recurrent Neural Networks for Multivariate Time Series with Missing Values , 2016, Scientific Reports.
[16] U. Rajendra Acharya,et al. Machine Learning in Healthcare Informatics , 2013, Machine Learning in Healthcare Informatics.
[17] Dong Wang,et al. Medical Diagnosis From Laboratory Tests by Combining Generative and Discriminative Learning , 2017, ArXiv.
[18] Fei Wang,et al. An RNN Architecture with Dynamic Temporal Matching for Personalized Predictions of Parkinson's Disease , 2017, SDM.
[19] Fenglong Ma,et al. A General Framework for Diagnosis Prediction via Incorporating Medical Code Descriptions , 2018, 2018 IEEE International Conference on Bioinformatics and Biomedicine (BIBM).
[20] David C. Kale,et al. Modeling Missing Data in Clinical Time Series with RNNs , 2016 .
[21] Yoshua Bengio,et al. On the Properties of Neural Machine Translation: Encoder–Decoder Approaches , 2014, SSST@EMNLP.
[22] Peter Szolovits,et al. MIMIC-III, a freely accessible critical care database , 2016, Scientific Data.
[23] John Salvatier,et al. Theano: A Python framework for fast computation of mathematical expressions , 2016, ArXiv.
[24] Svetha Venkatesh,et al. DeepCare: A Deep Dynamic Memory Model for Predictive Medicine , 2016, PAKDD.
[25] Phil Blunsom,et al. A Convolutional Neural Network for Modelling Sentences , 2014, ACL.
[26] Fei Wang,et al. Patient Subtyping via Time-Aware LSTM Networks , 2017, KDD.
[27] Fenglong Ma,et al. Multivariate Sleep Stage Classification using Hybrid Self-Attentive Deep Learning Networks , 2018, 2018 IEEE International Conference on Bioinformatics and Biomedicine (BIBM).
[28] Fenglong Ma,et al. A Multi-task Framework for Monitoring Health Conditions via Attention-based Recurrent Neural Networks , 2017, AMIA.
[29] Nilmini Wickramasinghe,et al. Deepr: A Convolutional Net for Medical Records , 2016, ArXiv.
[30] Fenglong Ma,et al. Deep Patient Similarity Learning for Personalized Healthcare , 2018, IEEE Transactions on NanoBioscience.
[31] Fenglong Ma,et al. Dipole: Diagnosis Prediction in Healthcare via Attention-based Bidirectional Recurrent Neural Networks , 2017, KDD.
[32] Walter F. Stewart,et al. Doctor AI: Predicting Clinical Events via Recurrent Neural Networks , 2015, MLHC.
[33] Fenglong Ma,et al. Personalized disease prediction using a CNN-based similarity learning method , 2017, 2017 IEEE International Conference on Bioinformatics and Biomedicine (BIBM).
[34] Yoshua Bengio,et al. Gradient-based learning applied to document recognition , 1998, Proc. IEEE.
[35] Yan Liu,et al. Deep Computational Phenotyping , 2015, KDD.
[36] Yoon Kim,et al. Convolutional Neural Networks for Sentence Classification , 2014, EMNLP.
[37] Jürgen Schmidhuber,et al. Long Short-Term Memory , 1997, Neural Computation.
[38] Fenglong Ma,et al. MuVAN: A Multi-view Attention Network for Multivariate Temporal Data , 2018, 2018 IEEE International Conference on Data Mining (ICDM).
[39] Le Song,et al. GRAM: Graph-based Attention Model for Healthcare Representation Learning , 2016, KDD.
[40] Hilde van der Togt,et al. Publisher's Note , 2003, J. Netw. Comput. Appl..
[41] Tomas Mikolov,et al. Enriching Word Vectors with Subword Information , 2016, TACL.
[42] Jason Weston,et al. Natural Language Processing (Almost) from Scratch , 2011, J. Mach. Learn. Res..
[43] Jimeng Sun,et al. Multi-layer Representation Learning for Medical Concepts , 2016, KDD.
[44] Fenglong Ma,et al. Unsupervised Discovery of Drug Side-Effects from Heterogeneous Data Sources , 2017, KDD.