Publications citing MIMIC-III Waveform Database Matched Subset v1.0

Decision Support for Knowledge Intensive Processes Using RL Based Recommendations
Asjad Khan, Aditya Ghose, Hoa Khanh Dam. Lecture notes in business information processing, 2021. Cites: paper

Decision Support for Tactical Combat Casualty Care Using Machine Learning to Detect Shock
Christopher Nemeth, Adam Amos‐Binks, Christie Burris et al. Military Medicine, 2021. Cites: paper

Deep Kernel Learning for Mortality Prediction in the Face of Temporal Shift
Miguel Rios, Ameen Abu–Hanna. Lecture notes in computer science, 2021. Cites: paper

Deep Learning with Heterogeneous Graph Embeddings for Mortality Prediction from Electronic Health Records
Tingyi Wanyan, Hossein Honarvar, Ariful Azad et al. Data Intelligence, 2021. Cites: paper

Demographic Aware Probabilistic Medical Knowledge Graph Embeddings of Electronic Medical Records
Aynur Guluzade, Endri Kacupaj, Maria Maleshkova. Lecture notes in computer science, 2021. Cites: paper

Description-based Label Attention Classifier for Explainable ICD-9 Classification
Malte Feucht, Zhiliang Wu, Sophia Althammer et al. Workshop on Noisy User-generated Text (W-NUT), 2021. Cites: paper

Detection of Conditional Dependence Between Multiple Variables Using Multiinformation
Jan Mielniczuk, Paweł Teisseyre. Lecture notes in computer science, 2021. Cites: paper

Developing a Clinical Language Model for Swedish: Continued Pretraining of Generic BERT with In-Domain Data
Anastasios Lamproudis, Aron Henriksson, Hercules Dalianis. International conference Recent advances in natural language processing, 2021. Cites: paper

Development and validation of high definition phenotype-based mortality prediction in critical care units
Yao Sun, Ravneet Kaur, Shubham Gupta et al. JAMIA Open, 2021. Cites: paper

Diagnosis Ranking with Knowledge Graph Convolutional Networks
Bing Liu, Guido Zuccon, Wen Hua et al. Lecture notes in computer science, 2021. Cites: paper

Diagnostic Code Group Prediction by Integrating Structured and Unstructured Clinical Data
Akshara Prabhakar, Shidharth Srinivasan, Gokul S Krishnan et al. Lecture notes in computer science, 2021. Cites: paper

Differential Evaluation: a Qualitative Analysis of Natural Language Processing System Behavior Based Upon Data Resistance to Processing
Lucie Gianola, Hicham El Boukkouri, Cyril Grouin et al. Workshop on Evaluation and Comparison of NLP Systems (Eval4NLP), 2021. Cites: paper

Disambiguating Clinical Abbreviations using Pre-trained Word Embeddings
Areej Jaber, Paloma Martı́nez. International Joint Conference on Biomedical Engineering Systems and Technologies (BIOSTEC), 2021. Cites: paper

Does BERT Pretrained on Clinical Notes Reveal Sensitive Data?
Eric Lehman, Sarthak Jain, Karl Pichotta et al. Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies (NAACL-HLT), 2021. Cites: paper

Early Identification of Patients at Risk of Sepsis in a Hospital Environment
Everton Osnei Cesario, Yohan Bonescki Gumiel, Márcia C. Marins Martins et al. Brazilian Archives of Biology and Technology, 2021. Cites: paper

Effective Convolutional Attention Network for Multi-label Clinical Document Classification
Yang Liu, Hua Nong Cheng, Russell Klopfer et al. Conference on Empirical Methods in Natural Language Processing (EMNLP), 2021. Cites: paper

Embed Wisely: An Ensemble Approach to Predict ICD Coding
Pavithra Rajendran, Alexandros Zenonos, Joshua Spear et al. Communications in computer and information science, 2021. Cites: paper

emrKBQA: A Clinical Knowledge-Base Question Answering Dataset
Preethi Raghavan, Jennifer J. Liang, Diwakar Mahajan et al. Workshop on Biomedical Language Processing (BioNLP), 2021. Cites: paper

Enhancing the Value of Counterfactual Explanations for Deep Learning
Yan Jia, John A. McDermid, Ibrahim Habli. Lecture notes in computer science, 2021. Cites: paper

EntityBERT: Entity-centric Masking Strategy for Model Pretraining for the Clinical Domain
Chen Lin, Timothy Miller, Dmitriy Dligach et al. Workshop on Biomedical Language Processing (BioNLP), 2021. Cites: paper

Estimation of Baseline Serum Creatinine with Machine Learning
Erina Ghosh, Larry J. Eshelman, Stephanie Lanius et al. American Journal of Nephrology, 2021. Cites: paper

Exploration and Visualization of the Hidden Information from the Congestive Heart Failure Patients Data in MIMIC-III Database
S.G. Gayathri, M. A. Anitha, S. Nickolas et al. Algorithms for intelligent systems, 2021. Cites: paper

Extractive Summarization of EHR Notes
Ajay Chaudhary, Merlin George, Anu Mary Chacko. Algorithms for intelligent systems, 2021. Cites: paper

FLBench: A Benchmark Suite for Federated Learning
Yuan Liang, Yange Guo, Yanxia Gong et al. Communications in computer and information science, 2021. Cites: paper

Fusion: Towards Automated ICD Coding via Feature Compression
Junyu Luo, Cao Xiao, Lucas M. Glass et al. Findings of the Association for Computational Linguistics: ACL (Findings of ACL), 2021. Cites: paper

GANs for Tabular Healthcare Data Generation: A Review on Utility and Privacy
João Coutinho‐Almeida, Pedro Pereira Rodrigues, Ricardo Joao Cruz-Correia. Lecture notes in computer science, 2021. Cites: paper

How to leverage the multimodal EHR data for better medical prediction?
Bo Xiong Yang, Lijun Wu. Conference on Empirical Methods in Natural Language Processing (EMNLP), 2021. Cites: paper

IITK at SemEval-2021 Task 10: Source-Free Unsupervised Domain Adaptation using Class Prototypes
Harshit Kumar, Jinang Shah, Nidhi Hegde et al. International Workshop on Semantic Evaluation (SemEval), 2021. Cites: paper

Imbalance Learning and Its Application on Medical Datasets
Yachao Shao. 2021. Cites: paper

Improving Factual Completeness and Consistency of Image-to-Text Radiology Report Generation
Yasuhide Miura, Yuhao Zhang, Emily B. Tsai et al. Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies (NAACL-HLT), 2021. Cites: paper

Improving Prediction of Low-Prior Clinical Events with Simultaneous General Patient-State Representation Learning
Matthew Barren, Miloš Hauskrecht. Lecture notes in computer science, 2021. Cites: paper

ImputeRNN: Imputing Missing Values in Electronic Medical Records
Jiawei Ouyang, Yuhao Zhang, Xiangrui Cai et al. Lecture notes in computer science, 2021. Cites: paper

Incorporating medical knowledge in BERT for clinical relation extraction
Arpita Roy, Shimei Pan. Conference on Empirical Methods in Natural Language Processing (EMNLP), 2021. Cites: paper

Incremental Inference of Provenance Types
David Kohan Marzagão, Trung Dong Huynh, Luc Moreau. Lecture notes in computer science, 2021. Cites: paper

Inheritance-Guided Hierarchical Assignment for Clinical Automatic Diagnosis
Yichao Du, Pengfei Luo, Xudong Hong et al. Lecture notes in computer science, 2021. Cites: paper

Integrating Multimodal Electronic Health Records for Diagnosis Prediction.
Rui Li, Fenglong Ma, Jing Gao. PubMed Central, 2021. Cites: paper

Intelligent Medical Decision Support for Predicting Patients at Risk in Intensive Care Units
Araek Tashkandi. 2021. Cites: paper

Intrinsic Evaluation of Contextual and Non-contextual Word Embeddings using Radiology Reports.
Mirza S. Khan, Bennett A. Landman, Stephen A. Deppen et al. PubMed Central, 2021. Cites: paper

Joint Summarization-Entailment Optimization for Consumer Health Question Understanding
Khalil Mrini, Franck Dernoncourt, Walter Hong‐Shong Chang et al. 2021. Cites: paper

KA-NER: Knowledge Augmented Named Entity Recognition
Binling Nie, Chenyang Li, Honglie Wang. Communications in computer and information science, 2021. Cites: paper

Lactate and Bilirubin Index: A New Indicator to Predict Critically Ill Cirrhotic Patients’ Prognosis
Xiao-Fu Chen, Yuan Zhao, Weizhen Chen et al. Canadian Journal of Gastroenterology and Hepatology, 2021. Cites: paper

Learning and Evaluating a Differentially Private Pre-trained Language Model
Shlomo Hoory, Amir Feder, Avichai Tendler et al. Workshop on Privacy in Natural Language Processing (PrivateNLP), 2021. Cites: paper

Learning and Evaluating a Differentially Private Pre-trained Language Model
Shlomo Hoory, Amir Feder, Avichai Tendler et al. Findings of the Association for Computational Linguistics: EMNLP (Findings of EMNLP), 2021. Cites: paper

Linguistic Uncertainty in Clinical NLP: A Taxonomy, Dataset and Approach
Mark St. J. Turner, Julia Ive, Sumithra U. Velupillai. Lecture notes in computer science, 2021. Cites: paper

Long-term mortality predictors of ICU fungaemia
Peng Xie, Wenqiang Wang, Maolong Dong. Epidemiology and Infection, 2021. Cites: paper

MedAI at SemEval-2021 Task 10: Negation-aware Pre-training for Source-free Negation Detection Domain Adaptation
Jinquan Sun, Qi Zhang, Yu Wang et al. International Workshop on Semantic Evaluation (SemEval), 2021. Cites: paper

Medication Combination Prediction via Attention Neural Networks with Prior Medical Knowledge
Haiqiang Wang, Xuyuan Dong, Zheng Luo et al. Lecture notes in computer science, 2021. Cites: paper

MedNLI Is Not Immune: Natural Language Inference Artifacts in the Clinical Domain
Christine P. Herlihy, Rachel Rudinger. 2021. Cites: paper

Memory Networks
Cao Xiao, Jimeng Sun. Springer eBooks, 2021. Cites: paper

Meta-LMTC: Meta-Learning for Large-Scale Multi-Label Text Classification
Ran Wang, Xiao Hong Su, Siyu Long et al. Conference on Empirical Methods in Natural Language Processing (EMNLP), 2021. Cites: paper

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