Publications citing MIMIC-III Waveform Database v1.0

Surf at MEDIQA 2019: Improving Performance of Natural Language Inference in the Clinical Domain by Adopting Pre-trained Language Model
Jiin Nam, Seunghyun Yoon, Kyomin Jung. BioNLP Workshop and Shared Task (BioNLP), 2019. Cites: paper

Survey on Multi-Output Learning
Donna Xu, Yaxin Shi, Ivor Wai-Hung Tsang et al. IEEE Transactions on Neural Networks and Learning Systems, 2019. Cites: paper

TAGS: Towards Automated Classification of Unstructured Clinical Nursing Notes
Tushaar Gangavarapu, Aditya Jayasimha, Gokul S Krishnan et al. Lecture notes in computer science, 2019. Cites: paper

Text Mining for Drug Discovery
Si Zheng, Shazia Dharssi, Meng Wu et al. Methods in molecular biology, 2019. Cites: paper

The Magic of Semantic Enrichment and NLP for Medical Coding
Nuria García-Santa, Beatriz San Miguel, Takanori Ugai. Lecture notes in computer science, 2019. Cites: paper

Time-Guided High-Order Attention Model of Longitudinal Heterogeneous Healthcare Data
Yi Huang, Xiaoshan Yang, Changsheng Xu. Lecture notes in computer science, 2019. Cites: paper

Title Cardiovascular Big Data Analytics
Ioanna Chouvarda, Nicos Maglaveras. Series in bioengineering, 2019. Cites: paper

Towards Automatic Generation of Shareable Synthetic Clinical Notes Using Neural Language Models
Oren Melamud, Chaitanya Shivade. Clinical Natural Language Processing Workshop (ClinicalNLP), 2019. Cites: paper

Towards Reliable ARDS Clinical Decision Support: ARDS Patient Analytics with Free-text and Structured EMR Data.
Emilia Apostolova, Amit Uppal, Jessica E. Galarraga et al. PubMed Central, 2019. Cites: paper

Towards Scalable Hybrid Stores: Constraint-Based Rewriting to the Rescue
Rana Alotaibi, Damián Bursztyn, Alin Deutsch et al. HAL, 2019. Cites: paper

Towards Understanding ICU Treatments Using Patient Health Trajectories
Alexander Galozy, Sławomir Nowaczyk, Anita Sant’Anna. Lecture notes in computer science, 2019. Cites: paper

Transfer Learning in Biomedical Natural Language Processing: An Evaluation of BERT and ELMo on Ten Benchmarking Datasets
Yifan Peng, Shankai Yan, Zhiyong Lu. BioNLP Workshop and Shared Task (BioNLP), 2019. Cites: paper

Tree-based Regularization for Interpretable Readmission Prediction.
Jialiang Jiang, Sharon J. Hewner, Varun Chandola. AAAI Spring Symposium Combining Machine Learning with Knowledge Engineering, 2019. Cites: paper

Two-stage Federated Phenotyping and Patient Representation Learning
Dianbo Liu, Dmitriy Dligach, Timothy A. Miller. BioNLP Workshop and Shared Task (BioNLP), 2019. Cites: paper

Understanding the Value of Notes in Electronic Health Records
Shantanu Karnwal. CU Scholar (University of Colorado Boulder), 2019. Cites: paper

Using Clinical Notes with Time Series Data for ICU Management
Swaraj Khadanga, Karan Aggarwal, Shafiq Joty et al. Conference on Empirical Methods in Natural Language Processing (EMNLP), 2019. Cites: paper

Using Embedding-based Metrics to Expedite Patients Recruitment Process for Clinical Trials.
Houssein Dhayne, Rima Kilany. 2019. Cites: paper

Using Similarity Measures to Select Pretraining Data for NER
Xiang Dai, Sarvnaz Karimi, Ben Hachey et al. Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies (NAACL-HLT), 2019. Cites: paper

UU_TAILS at MEDIQA 2019: Learning Textual Entailment in the Medical Domain
Noha S. Tawfik, Marco René Spruit. BioNLP Workshop and Shared Task (BioNLP), 2019. Cites: paper

UW-BHI at MEDIQA 2019: An Analysis of Representation Methods for Medical Natural Language Inference
William R. Kearns, Wilson Lau, Jason Thomas. BioNLP Workshop and Shared Task (BioNLP), 2019. Cites: paper

VERB: VFCDM-Based Electrocardiogram Reconstruction and Beat Detection Algorithm
Syed Khairul Bashar, Yeonsik Noh, Allan J. Walkey et al. IEEE Access, 2019. Cites: paper

What every intensivist should know about Big Data and targeted machine learning in the intensive care unit
Ményssa Cherifa, Romain Pirracchio. Revista Brasileira de Terapia Intensiva, 2019. Cites: paper

Writing habits and telltale neighbors: analyzing clinical concept usage patterns with sublanguage embeddings
Denis R. Newman-Griffis, Eric Fosler‐Lussier. International Workshop on Health Text Mining and Information Analysis (LOUHI), 2019. Cites: paper

WTMED at MEDIQA 2019: A Hybrid Approach to Biomedical Natural Language Inference
Zhaofeng Wu, Yan Song, Sicong Huang et al. BioNLP Workshop and Shared Task (BioNLP), 2019. Cites: paper

Relative criticalness of common laboratory tests for critical value reporting
Zhutian Yang, Eng Hooi Tan, Yingda Li et al. Journal of Clinical Pathology, 2018. Cites: paper

Predicting Post-Procedural Complications Using Neural Networks on MIMIC-III Data
N. Venkatesa Mohan. 2018. Cites: paper

A guide to deep learning in healthcare
Andre Esteva, Alexandre Robicquet, Bharath Ramsundar et al. Nature Medicine, 2018. Cites: paper

Big Data Analysis y Machine Learning en medicina intensiva
A. Núñez Reiz, Miguel Ángel Armengol de la Hoz, Miguel Sánchez García. Medicina Intensiva, 2018. Cites: paper

Artificial neural networks condensation: A strategy to facilitate adaption of machine learning in medical settings by reducing computational burden
Dianbo Liu, Nestor Andres Sepulveda, Ming Zheng. arXiv (Cornell University), 2018. Cites: paper

Validation of Prediction Models for Critical Care Outcomes Using Natural Language Processing of Electronic Health Record Data
Ben J. Marafino, Miran Park, Jason M. Davies et al. JAMA Network Open, 2018. Cites: paper

Extracting Clinical Event Timelines : Temporal Information Extraction and Coreference Resolution in Electronic Health Records
Julien Tourille. 2018. Cites: paper

Sepsis Prediction and Vital Signs Ranking in Intensive Care Unit Patients
Avijit Mitra, Khalid Masood Ashraf. arXiv (Cornell University), 2018. Cites: paper

Construct validity of six sentiment analysis methods in the text of encounter notes of patients with critical illness
Gary E. Weissman, Lyle Ungar, Michael Oscar Harhay et al. Journal of Biomedical Informatics, 2018. Cites: paper

Modeling left ventricular dynamics using a switched system approach based on a modified atrioventricular piston unit
Huan Huang, Zhan Shu, Bo Song et al. Medical Engineering & Physics, 2018. Cites: paper

“Multimorbidity states with high sepsis-related deaths: a data-driven analysis in critical care”
Zsolt E. Zador, Alexander Landry, Michael D. Cusimano et al. bioRxiv (Cold Spring Harbor Laboratory), 2018. Cites: paper

Building Computational Models to Predict One-Year Mortality in ICU Patients with Acute Myocardial Infarction and Post Myocardial Infarction Syndrome
Laura A. Barrett, Seyedeh Neelufar Payrovnaziri, Jiang Bian et al. PubMed Central, 2018. Cites: paper

NON-INVASIVE PREDICTION MODEL FOR DEVELOPING COUNTRIES TO PREDICT SEPSIS IN NEONATES
Jyoti Thakur, S. K. Pahuja, Roop Pahuja. Biomedical Engineering Applications Basis and Communications, 2018. Cites: paper

Deep Learning in Cardiology
Paschalis Bizopoulos, Dimitris Koutsouris. IEEE Reviews in Biomedical Engineering, 2018. Cites: paper

Phenotype Inference with Semi-Supervised Mixed Membership Models
Victor Rodriguez, Adler Perotte. PubMed, 2018. Cites: paper

Learning Dynamic Embeddings from Temporal Interactions
Srijan Kumar, Xikun Zhang, Jure Leskovec. arXiv (Cornell University), 2018. Cites: paper

Bidirectional Recurrent Auto-Encoder for Photoplethysmogram Denoising
Joonnyong Lee, Sukkyu Sun, Seung-Man Yang et al. IEEE Journal of Biomedical and Health Informatics, 2018. Cites: paper

Modeling Irregularly Sampled Clinical Time Series
Satya Narayan Shukla, Benjamin M. Marlin. arXiv (Cornell University), 2018. Cites: paper

Predicting Blood Pressure Response to Fluid Bolus Therapy Using Attention-Based Neural Networks for Clinical Interpretability
Uma Girkar, Ryo Uchimido, Li-wei H. Lehman et al. arXiv (Cornell University), 2018. Cites: paper

A perspective of Mike from a 50-year vantage point
David J. DeWitt. ACM eBooks, 2018. Cites: paper

Aurum: a story about research taste
Raul Castro Fernandez. ACM eBooks, 2018. Cites: paper

Classification of radiology reports by modality and anatomy: A comparative study
Marina Bendersky, Joy Tzung-Yu Wu, Tanveer Fathima Syeda-Mahmood. IEEE International Conference on Bioinformatics and Biomedicine (BIBM), 2018. Cites: paper

Convolutional Gated Recurrent Units for Medical Relation Classification
Bin He, Yi Guan, Rui Dai. IEEE International Conference on Bioinformatics and Biomedicine (BIBM), 2018. Cites: paper

C-store: a column-oriented DBMS
Mike Stonebraker, Daniel J. Abadi, Adam Batkin et al. ACM eBooks, 2018. Cites: paper

Disease Inference with Symptom Extraction and Bidirectional Recurrent Neural Network
Donglin Guo, Min Li, Ying Yu et al. IEEE International Conference on Bioinformatics and Biomedicine (BIBM), 2018. Cites: paper

Early Prediction of Acute Kidney Injury in Critical Care Setting Using Clinical Notes
Yikuan Li, Liang Yao, Chengsheng Mao et al. IEEE International Conference on Bioinformatics and Biomedicine (BIBM), 2018. Cites: paper

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