Publications citing MIMIC-III Waveform Database v1.0

Benchmarking deep learning models on large healthcare datasets
Sanjay Purushotham, Chuizheng Meng, Zhengping Che et al. Journal of Biomedical Informatics, 2018. Cites: paper

Modeling asynchronous event sequences with RNNs
Stephen Wu, Sijia Liu, Sunghwan Sohn et al. Journal of Biomedical Informatics, 2018. Cites: paper

Predictive modeling in urgent care: a comparative study of machine learning approaches
Fengyi Tang, Cao Xiao, Fei Wang et al. JAMIA Open, 2018. Cites: paper

A Hybrid Method for Normalization of Medical Concepts in Clinical Narrative
Yen-Fu Luo, Weiyi Sun, Anna Rumshisky. IEEE International Conference on Healthcare Informatics (ICHI), 2018. Cites: paper

Global Model Interpretation Via Recursive Partitioning
Chengliang Yang, Anand Rangarajan, Sanjay Ranka. IEEE International Conference on High Performance Computing and Communications; IEEE International Conference on Smart City; IEEE International Conference on Data Science and Systems (HPCC/SmartCity/DSS), 2018. Cites: paper

Novel Approach to Predict Hospital Readmissions Using Feature Selection from Unstructured Data with Class Imbalance
Arun Thotapalli Sundararaman, Srinivasan Valady Ramanathan, Ramprasad Thati. Big Data Research, 2018. Cites: paper

Pattern Similarity in Time Interval Sequences
Luca Bonomi, Xiaoqian Jiang. IEEE International Conference on Healthcare Informatics (ICHI), 2018. Cites: paper

Predicting and Understanding Unexpected Respiratory Decompensation in Critical Care Using Sparse and Heterogeneous Clinical Data
Oliver Ren, Alistair E. W. Johnson, Eric P. Lehman et al. IEEE International Conference on Healthcare Informatics (ICHI), 2018. Cites: paper

Predictive Models of Sepsis in Adult ICU Patients
Roman Z. Wang, Catherine Sun, Philip H. Schroeder et al. IEEE International Conference on Healthcare Informatics (ICHI), 2018. Cites: paper

Visualizing Patient Timelines in the Intensive Care Unit
Dina Levy-Lambert, Jen J. Gong, Tristan Naumann et al. arXiv (Cornell University), 2018. Cites: paper

Diagnostic assessment of a deep learning system for detecting atrial fibrillation in pulse waveforms
Ming‐Zher Poh, Yukkee Cheung Poh, Pak‐Hei Chan et al. Heart, 2018. Cites: paper

Using OPC and HL7 Standards to Incorporate an Industrial Big Data Historian in a Health IT Environment
Márcio Freire Cruz, Carlos Arthur Mattos Teixeira Cavalcante, Sérgio Torres Sá Barretto. Journal of Medical Systems, 2018. Cites: paper

Scoring System for the One-Year Mortality Prediction of Sepsis Patients in Intensive Care Units
Javier E. García-Gallo, Nelson Javier Fonseca-Ruiz, Freddy Duitama. World Congress on Medical Physics and Biomedical Engineering, September 7 - 12, 2009, Munich, Germany, 2018. Cites: paper

The Actor Search Tree Critic (ASTC) for Off-Policy POMDP Learning in Medical Decision Making
Luchen Li, Matthieu Komorowski, A. Aldo Faisal. arXiv (Cornell University), 2018. Cites: paper

Transthoracic echocardiography and mortality in sepsis: analysis of the MIMIC-III database
Mengling Feng, Jakob Israel McSparron, Dang Trung Kien et al. Intensive Care Medicine, 2018. Cites: paper

Uncertainty-Aware Attention for Reliable Interpretation and Prediction
Jay Heo, Haebeom Lee, Saehoon Kim et al. arXiv (Cornell University), 2018. Cites: paper

tableone: An open source Python package for producing summary statistics for research papers
Tom Pollard, Alistair E. W. Johnson, Jesse D. Raffa et al. JAMIA Open, 2018. Cites: paper

Predicting Intensive Care Unit Readmission with Machine Learning Using Electronic Health Record Data
J.C. Rojas, Kyle A. Carey, Dana P. Edelson et al. Annals of the American Thoracic Society, 2018. Cites: paper

Automatic ICD-9 coding via deep transfer learning
Min Zeng, Min Li, Zhihui Fei et al. Neurocomputing, 2018. Cites: paper

Multiple Causal Inference with Latent Confounding
Rajesh Ranganath, Adler Perotte. arXiv (Cornell University), 2018. Cites: paper

Classifying medical relations in clinical text via convolutional neural networks
Bin He, Yi Guan, Rui Dai. Artificial Intelligence in Medicine, 2018. Cites: paper

Efficient In-Database Patient Similarity Analysis for Personalized Medical Decision Support Systems
Araek Tashkandi, Ingmar Wiese, Lena Wiese. Big Data Research, 2018. Cites: paper

Privacy-Preserving Predictive Modeling: Harmonization of Contextual Embeddings From Different Sources
Yingxiang Huang, Junghye Lee, Shuang Wang et al. JMIR Medical Informatics, 2018. Cites: paper

Massive datasets and machine learning for computational biomedicine: trends and challenges
Кочетуров Антон Андреевич, Pãnos M. Pardalos, Athanasia Karakitsiou. Annals of Operations Research, 2018. Cites: paper

Toward a Model for Personal Health Record Interoperability
Alex Roehrs, Cristiano André da Costa, Rodrigo da Rosa Righi et al. IEEE Journal of Biomedical and Health Informatics, 2018. Cites: paper

One-year mortality after recovery from critical illness: A retrospective cohort study
Sharukh Lokhandwala, Ned McCague, Abdullah B. Chahin et al. PLoS ONE, 2018. Cites: paper

Joint Embedding of Words and Labels for Text Classification
Guoyin Wang, Chunyuan Li, Wenlin Wang et al. arXiv (Cornell University), 2018. Cites: paper

Opportunities and challenges in developing deep learning models using electronic health records data: a systematic review
Cao Xiao, Edward Choi, Jimeng Sun. Journal of the American Medical Informatics Association, 2018. Cites: paper

Talking to Learn: Investigating the Relationship Between Classroom Discussion and Persuasive Writing
Shireen Al‐Adeimi. Digital Access to Scholarship at Harvard (DASH) (Harvard University), 2018. Cites: paper

External validation and improvement of LiFe score as a prediction tool in critically ill cirrhosis patients
Shuangzhe Yao, Xihui Jiang, Chao Sun et al. Hepatology Research, 2018. Cites: paper

Scalable and accurate deep learning with electronic health records
Alvin Rajkomar, Eyal Oren, Kai Chen et al. npj Digital Medicine, 2018. Cites: paper

Automatic Coding for Neonatal Jaundice From Free Text Data Using Ensemble Methods
Scott Werwath. arXiv (Cornell University), 2018. Cites: paper

Neonatal Sepsis Prediction Model for Resource-Poor Developing Countries
Jyoti Thakur, Sharvan Kumar Pahuja, Roop Pahuja. International Conference on Electronics, Materials Engineering & Nano-Technology (IEMENTech), 2018. Cites: paper

Transfer Learning for Named-Entity Recognition with Neural Networks
Ji Young Lee, Franck Dernoncourt, Peter Szolovits B. Language Resources and Evaluation Conference (LREC), 2018. Cites: paper

Attend and Diagnose: Clinical Time Series Analysis Using Attention Models
Huan Song, Deepta Rajan, Jayaraman J. Thiagarajan et al. Proceedings of the AAAI Conference on Artificial Intelligence, 2018. Cites: paper

Mining productive-periodic frequent patterns in tele-health systems
Walaa Nagy Ismail, Mohammad Mehedi Hassan, Hessah A. Alsalamah et al. Journal of Network and Computer Applications, 2018. Cites: paper

Context-Aware Symptom Checking for Disease Diagnosis Using Hierarchical Reinforcement Learning
Hao-Cheng Kao, Kai-Fu Tang, Edward Y. Chang. Proceedings of the AAAI Conference on Artificial Intelligence, 2018. Cites: paper

Semi-Supervised Biomedical Translation With Cycle Wasserstein Regression GANs
Matthew B. A. McDermott, Tom Yan, Tristan Naumann et al. Proceedings of the AAAI Conference on Artificial Intelligence, 2018. Cites: paper

Towards Personalized Learning using Counterfactual Inference for Randomized Controlled Trials
Siyuan Zhao. Digital WPI, 2018. Cites: paper

Beyond Sparsity: Tree Regularization of Deep Models for Interpretability
Mike Wu, Michael Hughes, Sonali Parbhoo et al. Proceedings of the AAAI Conference on Artificial Intelligence, 2018. Cites: paper

ICD-9 Tagging of Clinical Notes Using Topical Word Embedding
Mary Jane C. Samonte, Bobby D. Gerardo, Arnel C. Fajardo et al. International Conference on Internet and E-Business (ICIEB), 2018. Cites: paper

Learning the Joint Representation of Heterogeneous Temporal Events for Clinical Endpoint Prediction
Luchen Liu, Jianhao Shen, Ming Zhang et al. Proceedings of the AAAI Conference on Artificial Intelligence, 2018. Cites: paper

Learning from the experts: From expert systems to machine-learned diagnosis models
Murali Ravuri, Anitha Kannan, Geoffrey Jay Tso et al. arXiv (Cornell University), 2018. Cites: paper

Identifying and characterizing highly similar notes in big clinical note datasets
Rodney Allanigue Gabriel, Tsung-Ting Kuo, Julian McAuley et al. Journal of Biomedical Informatics, 2018. Cites: paper

Big data in healthcare - the promises, challenges and opportunities from a research perspective: A case study with a model database
Mohammad Adibuzzaman, Po-Ching C. DeLaurentis, Jennifer Hill et al. Purdue University Indianapolis (Indiana University), 2018. Cites: paper

Association mapping in biomedical time series via statistically significant shapelet mining
Christian Bock, Thomas Gumbsch, Michael Moor et al. Bioinformatics, 2018. Cites: paper

Detecting Adverse Drug Reactions on Twitter with Convolutional Neural Networks and Word Embedding Features
Aaron J. Masino, Daniel Forsyth, Alexander G. Fiks. Journal of Healthcare Informatics Research, 2018. Cites: paper

Recurrent Neural Networks for Multivariate Time Series with Missing Values
Zhengping Che, Sanjay Purushotham, Kyunghyun Cho et al. Scientific Reports, 2018. Cites: paper

Using artificial intelligence to predict prolonged mechanical ventilation and tracheostomy placement
Joshua P. Parreco, Antonio E. Hidalgo, Jonathan J. Parks et al. Journal of Surgical Research, 2018. Cites: paper

Machine Learning-based Prediction of ICU Patient Mortality at Time of Admission
Nick Veith, Robert JC Steele. International Conference on Information System and Data Mining (ICISDM), 2018. Cites: paper

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