Publications citing MIMIC-III Waveform Database v1.0

Development of A Blockchain Framework for Virtual Clinical Trials.
Yan Zhuang, Lincoln Sheets, Xiyuan Gao et al. PubMed Central, 2020. Cites: paper

Diagnostic Prediction with Sequence-of-sets Representation Learning for Clinical Events
Tianran Zhang, Muhao Chen, Alex A. T. Bui. Lecture notes in computer science, 2020. Cites: paper

Discriminative Features Generation for Mortality Prediction in ICU
Suresh Pokharel, Zhenkun Shi, Guido Zuccon et al. Lecture notes in computer science, 2020. Cites: paper

Dose Regulation Model of Norepinephrine Based on LSTM Network and Clustering Analysis in Sepsis
Jingming Liu, Minghui Gong, Wei Guo et al. International Journal of Computational Intelligence Systems, 2020. Cites: paper

Effective Crowd-Annotation of Participants, Interventions, and Outcomes in the Text of Clinical Trial Reports
Markus Zlabinger, Marta Sabou, Sebastian Hofstätter et al. Findings of the Association for Computational Linguistics: EMNLP (Findings of EMNLP), 2020. Cites: paper

Employing Differentiable Neural Computers for Image Captioning and Neural Machine Translation
Rishab Sharma, Anupam Kumar, Deepak Meena et al. Procedia Computer Science, 2020. Cites: paper

Enabling Rich Queries Over Heterogeneous Data From Diverse Sources In HealthCare.
Abdul Quamar, Jannik Straube, Yuanyuan Tian. Conference on Innovative Data Systems Research, 2020. Cites: paper

Enhancing Clinical BERT Embedding using a Biomedical Knowledge Base
Boran Hao, Henghui Zhu, Ioannis Ch. Paschalidis. International Conference on Computational Linguistics, 2020. Cites: paper

Enhancing Decision-making Systems with Relevant Patient Information by Leveraging Clinical Notes
João Rafael Almeida, João Silva, Alejandro Pazos et al. International Joint Conference on Biomedical Engineering Systems and Technologies (BIOSTEC), 2020. Cites: paper

Enhancing Event Log Quality: Detecting and Quantifying Timestamp Imperfections
Dominik Fischer, Kanika Goel, Robert Andrews et al. Lecture notes in computer science, 2020. Cites: paper

Evaluation of Transfer Learning for Adverse Drug Event (ADE) and Medication Entity Extraction
Sankaran Narayanan, Kaivalya Mannam, Sreeranga P. Rajan et al. Clinical Natural Language Processing Workshop (ClinicalNLP), 2020. Cites: paper

eXDiL: A Tool for Classifying and eXplaining Hospital Discharge Letters
Fabio Mercorio, Mario Mezzanzanica, Andrea Seveso. Lecture notes in computer science, 2020. Cites: paper

Exercise interventions with critically ill patients in an Australian tertiary intensive care unit
Marc Nickels. Queensland University of Technology, 2020. Cites: paper

Experimental Evaluation and Development of a Silver-Standard for the MIMIC-III Clinical Coding Dataset
Thomas Searle, Zina M. Ibrahim, Richard Dobson. Workshop on Biomedical Language Processing (BioNLP), 2020. Cites: paper

Explainable Clinical Decision Support from Text
Jinyue Feng, Chantal Shaib, Frank Rudzicz. Conference on Empirical Methods in Natural Language Processing (EMNLP), 2020. Cites: paper

Exploiting Node Content for Multiview Graph Convolutional Network and Adversarial Regularization
Qiuhao Lu, Nisansa de Silva, Dejing Dou et al. International Conference on Computational Linguistics, 2020. Cites: paper

Exploring Text Specific and Blackbox Fairness Algorithms in Multimodal Clinical NLP
John Chen, Ian Berlot-Attwell, Xindi Wang et al. Clinical Natural Language Processing Workshop (ClinicalNLP), 2020. Cites: paper

Extreme Multi-Label ICD Classification: Sensitivity to Hospital Service and Time
Alberto Blanco, Alicia Pérez, Arantza Casillas. IEEE Access, 2020. Cites: paper

FedSmart: An Auto Updating Federated Learning Optimization Mechanism
Anxun He, Jianzong Wang, Zhangcheng Huang et al. Lecture notes in computer science, 2020. Cites: paper

FLE at CLEF eHealth 2020: Text Mining and Semantic Knowledge for Automated Clinical Encoding.
Nuria García-Santa, Kendrick Cetina. CLEF (Working Notes), 2020. Cites: paper

GATE: Graph-Attention Augmented Temporal Neural Network for Medication Recommendation
Chenhao Su, Sheng Gao, Si Li. IEEE Access, 2020. Cites: paper

Generation of Realistic Synthetic Validation Healthcare Datasets Using Generative Adversarial Networks
Eda Bilici, Theodoros N. Arvanitis, George Despotou. Studies in health technology and informatics, 2020. Cites: paper

GGPONC: A Corpus of German Medical Text with Rich Metadata Based on Clinical Practice Guidelines
Florian Borchert, Christina Lohr, Luise Modersohn et al. International Workshop on Health Text Mining and Information Analysis (LOUHI), 2020. Cites: paper

Gradient Regularized V-Learning for Dynamic Treatment Regimes
Yao Zhang, Mihaela van der Schaar. neural information processing systems, 2020. Cites: paper

GSIC: A New Interpretable System for Knowledge Exploration and Classification
Thanh-Phu Nguyen, Su Nguyen, Damminda Alahakoon et al. IEEE Access, 2020. Cites: paper

How You Ask Matters: The Effect of Paraphrastic Questions to BERT Performance on a Clinical SQuAD Dataset
Sungrim Moon, Jungwei Wilfred Fan. Clinical Natural Language Processing Workshop (ClinicalNLP), 2020. Cites: paper

Hybrid Text Feature Modeling for Disease Group Prediction Using Unstructured Physician Notes
Gokul S Krishnan, S. Sowmya Kamath. Lecture notes in computer science, 2020. Cites: paper

HyperCore: Hyperbolic and Co-graph Representation for Automatic ICD Coding
Pengfei Cao, Yubo Chen, Kang Liu et al. Annual Meeting of the Association for Computational Linguistics (ACL), 2020. Cites: paper

I2VSM Approach: Self-monitoring of Patients Exploring Situational Awareness in IoT
Rogério da Costa Albandes, Roger da Silva Machado, Jorge Luís Victória Barbosa et al. IFIP advances in information and communication technology, 2020. Cites: paper

ICB-UMA at CANTEMIST 2020: Automatic ICD-O Coding in Spanish with BERT.
Guillermo López-García, Jose Manuel Jerez, Francisco J. Veredas. IberLEF@SEPLN, 2020. Cites: paper

IDDSAM: An Integrated Disease Diagnosis and Severity Assessment Model for Intensive Care Units
Zhenkun Shi, Wanli Zuo, Shining Liang et al. IEEE Access, 2020. Cites: paper

IDSOU at WNUT-2020 Task 2: Identification of Informative COVID-19 English Tweets
Sora Ohashi, Tomoyuki Kajiwara, Chenhui Chu et al. Workshop on Noisy User-generated Text (W-NUT), 2020. Cites: paper

Impact of loop diuretics on critically ill patients with a positive fluid balance
Alexandre Braga Libório, Miriam Barbosa, Victor Brasil Sá et al. Anaesthesia, 2020. Cites: paper

Increased neutrophil percentage-to-albumin ratio is associated with all-cause mortality in patients with severe sepsis or septic shock
Yuqiang Gong, Diwen Li, Bihuan Cheng et al. Epidemiology and Infection, 2020. Cites: paper

Infusing Disease Knowledge into BERT for Health Question Answering, Medical Inference and Disease Name Recognition
Yun He, Ziwei Zhu, Yin Zhang et al. Conference on Empirical Methods in Natural Language Processing (EMNLP), 2020. Cites: paper

Interpretable Batch IRL to Extract Clinician Goals in ICU Hypotension Management.
Srivatsan Srinivasan, Finale Doshi‐Velez. PubMed Central, 2020. Cites: paper

Interpretable Multivariate Time Series Classification Based on Prototype Learning
Dengjuan Ma, Zhu Wang, Jia Xie et al. Lecture notes in computer science, 2020. Cites: paper

Key references
Elsevier eBooks, 2020. Cites: paper

Knowledge Intensive Learning of Generative Adversarial Networks.
Devendra Singh Dhami, Mayukh Das, Sriraam Natarajan. Knowledge Discovery and Data Mining, 2020. Cites: paper

Layer-wise Guided Training for BERT: Learning Incrementally Refined Document Representations
Nikolaos Manginas, Ilias Chalkidis, Prodromos Malakasiotis. Workshop on Structured Prediction for NLP (SPNLP), 2020. Cites: paper

Learning from Unlabelled Data for Clinical Semantic Textual Similarity
Yuxia Wang, Karin M. Verspoor, Timothy Baldwin. Clinical Natural Language Processing Workshop (ClinicalNLP), 2020. Cites: paper

Learning Invariant Feature Representation to Improve Generalization Across Chest X-Ray Datasets
Sandesh Ghimire, Satyananda Kashyap, Joy Tzung-Yu Wu et al. Lecture notes in computer science, 2020. Cites: paper

Leveraging Data Science for Global Health
Leo Anthony Celi, Maimuna Shahnaz Majumder, Patricia Ordóñez et al. Springer eBooks, 2020. Cites: paper

Machine and Deep Learning
Anthony C. Chang. Elsevier eBooks, 2020. Cites: paper

Machine learning & semantic web technologies for cancer care
Mahadevalah Geetha. 2020. Cites: paper

Mapping a Clinical Case Description to an Argumentation Framework: A Preliminary Assessment
Ana Silva, António Silva, Tiago Carvalho Rodrigues de Oliveira et al. Lecture notes in computer science, 2020. Cites: paper

MeDAL: Medical Abbreviation Disambiguation Dataset for Natural Language Understanding Pretraining
Zhi Wen, Xing Han Lù, Siva Reddy. Clinical Natural Language Processing Workshop (ClinicalNLP), 2020. Cites: paper

Medical Time-Series Data Generation Using Generative Adversarial Networks
Saloni Dash, Andrew Yale, Isabelle Guyon et al. Lecture notes in computer science, 2020. Cites: paper

Methods for Extracting Information from Messages from Primary Care Providers to Specialists
Xiyu Ding, Michael L. Barnett, Ateev Mehrotra et al. 2020. Cites: paper

Modeling Rare Interactions in Time Series Data Through Qualitative Change: Application to Outcome Prediction in Intensive Care Units
Zina M. Ibrahim, Honghan Wu, Richard Dobson. Frontiers in artificial intelligence and applications, 2020. Cites: paper

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