Publications citing MIMIC-III Waveform Database v1.0

Investigating the Effect of Lexical Segmentation in Transformer-based Models on Medical Datasets
Vincent A. Nguyen, Sarvnaz Karimi, Zhenchang Xing. 2019. Cites: paper

Is artificial data useful for biomedical Natural Language Processing algorithms?
Zixu Wang, Julia Ive, Sumithra U. Velupillai et al. BioNLP Workshop and Shared Task (BioNLP), 2019. Cites: paper

Large-Scale Multi-Label Text Classification on EU Legislation
Ilias Chalkidis, Emmanouil Fergadiotis, Prodromos Malakasiotis et al. Annual Meeting of the Association for Computational Linguistics (ACL), 2019. Cites: paper

Large-scale Multi-output Gaussian Processes for Clinical Decision Support
Lifang Cheng. 2019. Cites: paper

Learning Fine-Grained Patient Similarity with Dynamic Bayesian Network Embedded RNNs
Yanda Wang, Weitong Chen, Bohan Li et al. Lecture notes in computer science, 2019. Cites: paper

Leveraging Hierarchical Category Knowledge for Data-Imbalanced Multi-Label Diagnostic Text Understanding
Shang-Chi Tsai, Ting-Yun Chang, Yun-Nung Chen. International Workshop on Health Text Mining and Information Analysis (LOUHI), 2019. Cites: paper

LIFE AND DEATH IN ICU: NURSING CARE TO SMOOTH TRANSITIONS FOR PATIENTS AND FAMILY
Julie Sarah Benbenishty. PEARL (University of Plymouth), 2019. Cites: paper

Low Cost AI Cardiovascular Disease Diagnosis Tool
Daniel Ayane. Digital Access to Scholarship at Harvard (DASH) (Harvard University), 2019. Cites: paper

Machine Learning in future intensive care—Classification of stochastic Petri Nets via continuous-time Markov chains
Ahmed Hallawa, Song Zhang, Arne Peine et al. Elsevier eBooks, 2019. Cites: paper

MCPL-Based FT-LSTM: Medical Representation Learning-Based Clinical Prediction Model for Time Series Events
Lutong Wang, Hong Wang, Yongqiang Song et al. IEEE Access, 2019. Cites: paper

MedCATTrainer: A Biomedical Free Text Annotation Interface with Active Learning and Research Use Case Specific Customisation
Thomas Searle, Željko Kraljević, Rebecca Bendayan et al. Conference on Empirical Methods in Natural Language Processing: System Demonstrations (EMNLP), 2019. Cites: paper

Medical Word Embeddings for
Felipe Soares, Marta Villegas, Aitor González-Agirre et al. Clinical Natural Language Processing Workshop (ClinicalNLP), 2019. Cites: paper

MedSpecSearch: Medical Specialty Search
Mehmet Uluç Şahin, Eren Balatkan, Cihan Eran et al. Lecture notes in computer science, 2019. Cites: paper

Mining and Representing Unstructured Nicotine Use Data in a Structured Format for Secondary Use
Mandlenkosi Ngwenya, Felix Olu Bankole. Hawaii International Conference on System Sciences (HICSS), 2019. Cites: paper

Mining Compact Predictive Pattern Sets Using Classification Model
Matteo Mantovani, Carlo Combi, Miloš Hauskrecht. Lecture notes in computer science, 2019. Cites: paper

MLT-DFKI at CLEF eHealth 2019: Multi-label Classification of ICD-10 Codes with BERT.
Saadullah Amin, Guenter Neumann, Katherine Ann Dunfield et al. CLEF (Working Notes), 2019. Cites: paper

Modelling ICU Patients to Improve Care Requirements and Outcome Prediction of Acute Respiratory Distress Syndrome: A Supervised Learning Approach
Mohammed Sayed, David Riaño. Lecture notes in computer science, 2019. Cites: paper

Neural Text Simplification of Clinical Letters with a Domain Specific Phrase Table
Matthew Shardlow, Raheel Nawaz. Annual Meeting of the Association for Computational Linguistics (ACL), 2019. Cites: paper

New Approach based on Machine Learning for Short-Term Mortality Prediction in Neonatal Intensive Care Unit
Zaineb Kefi, Kamel Aloui, Mohamed Saber. International Journal of Advanced Computer Science and Applications, 2019. Cites: paper

Noise Detection in Electrocardiogram Signals for Intensive Care Unit Patients
Syed Khairul Bashar, Eric Ding, Allan J. Walkey et al. IEEE Access, 2019. Cites: paper

Nonparametric Regressive Point Processes Based on Conditional Gaussian Processes
Siqi Liu, Miloš Hauskrecht. neural information processing systems, 2019. Cites: paper

One Size Does Not Fit All: Querying Web Polystores
Yasar Khan, Antoine Zimmermann, Alokkumar Jha et al. IEEE Access, 2019. Cites: paper

On Model Stability as a Function of Random Seed
Pranava Madhyastha, Rishabh Jain. Conference on Computational Natural Language Learning, 2019. Cites: paper

Ontological attention ensembles for capturing semantic concepts in ICD code prediction from clinical text
Matúš Falis, Maciej Pajak, Aneta Lisowska et al. International Workshop on Health Text Mining and Information Analysis (LOUHI), 2019. Cites: paper

Personalised Medicine in Critical Care Using Bayesian Reinforcement Learning
Chandra Prasetyo Utomo, Hanna Kurniawati, Xue Li et al. Lecture notes in computer science, 2019. Cites: paper

Platelet-to-lymphocyte ratio as a prognostic predictor of mortality for sepsis: interaction effect with disease severity—a retrospective study
Yanfei Shen, Xinmei Huang, Weimin Zhang. BMJ Open, 2019. Cites: paper

Predicting ICU Mortality from Heterogeneous Clinical Events with Prior Medical Knowledge.
Lujing Xiao, Chuanpan Zheng, Xiaoliang Fan et al. International Joint Conference on Artificial Intelligence, 2019. Cites: paper

Predicting Lung Healthiness Risk Scores to Identify Probability of an Asthma Attack
Quan Do, Alexa K. Doig, Tran Cao Son et al. Procedia Computer Science, 2019. Cites: paper

Predicting Patient’s Diagnoses and Diagnostic Categories from Clinical-Events in EHR Data
Seyedsalim Malakouti, Miloš Hauskrecht. Lecture notes in computer science, 2019. Cites: paper

Prediction of Extubation Failure for Intensive Care Unit Patients Using Light Gradient Boosting Machine
Tingting Chen, Jun Xu, Haochao Ying et al. IEEE Access, 2019. Cites: paper

Predictive Modeling of the Risk of Acute Kidney Injury in Critical Care: A Systematic Investigation of The Class Imbalance Problem.
Zhenxing Xu, Yujuan Feng, Yun Li et al. PubMed Central, 2019. Cites: paper

Prior Statin Use Is Associated with Decreased Mortality and Lower Levels of Liver and Brain Organ Failure Scores in Sepsis - A Matched Observational Study
Hok Hei Tam, Brinda Monian, Teresa Rincon et al. SSRN Electronic Journal, 2019. Cites: paper

Privacy Preservation in Publishing Electronic Health Records Based on Perturbation
Lin Yao, Xinyu Wang, Zhenyu Chen et al. Lecture notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering, 2019. Cites: paper

Probing Biomedical Embeddings from Language Models
Qiao Jin, Bhuwan Dhingra, William Cohen et al. 2019. Cites: paper

Proceedings of The 5th Workshop on BioNLP Open Shared Tasks
Jin-Dong Kim, Claire Nédellec, Robert Bossy et al. 2019. Cites: paper

Proceedings of the Fourth Social Media Mining for Health Applications (#SMM4H) Workshop & Shared Task
2019. Cites: paper

Proceedings of the Tenth International Workshop on Health Text Mining and Information Analysis (LOUHI 2019)
2019. Cites: paper

Publicly Available Clinical
Emily Alsentzer, John Murphy, William Boag et al. Clinical Natural Language Processing Workshop (ClinicalNLP), 2019. Cites: paper

Question Answering in the Biomedical Domain
Vincent A. Nguyen. Annual Meeting of the Association for Computational Linguistics: Student Research Workshop (ACL SRW), 2019. Cites: paper

Recent Context-Aware LSTM for Clinical Event Time-Series Prediction
Jeong Min Lee, Miloš Hauskrecht. Lecture notes in computer science, 2019. Cites: paper

Recognizing UMLS Semantic Types with Deep Learning
Isar Nejadgholi, Kathleen Fraser, Berry de Bruijn et al. International Workshop on Health Text Mining and Information Analysis (LOUHI), 2019. Cites: paper

Recurrent Deep Network Models for Clinical NLP Tasks: Use Case with Sentence Boundary Disambiguation
Benjamin C. Knoll, Elizabeth A Lindemann, Arian L. Albert et al. Studies in health technology and informatics, 2019. Cites: paper

Reduced Rank Least Squares for Real-Time Short Term Estimation of Mean Arterial Blood Pressure in Septic Patients Receiving Norepinephrine
Yi Tang, Samuel Morris Brown, Jeff Sorensen et al. IEEE Journal of Translational Engineering in Health and Medicine, 2019. Cites: paper

Relation Extraction from Clinical Narratives Using Pre-trained Language Models.
Qiang Wei, Zongcheng Ji, Yuqi Si et al. PubMed Central, 2019. Cites: paper

Saama Research at MEDIQA 2019: Pre-trained BioBERT with Attention Visualisation for Medical Natural Language Inference
Kamal raj Kanakarajan, Suriyadeepan Ramamoorthy, Vaidheeswaran Archana et al. BioNLP Workshop and Shared Task (BioNLP), 2019. Cites: paper

SciBERT: A Pretrained Language Model for Scientific Text
Iz Beltagy, Kyle Lo, Arman Cohan. Conference on Empirical Methods in Natural Language Processing (EMNLP), 2019. Cites: paper

Seeking predictors for paroxysmal atrial fibrillation in stroke with an online clinical database
Şefik Evren Erdener. Northern Clinics of Istanbul, 2019. Cites: paper

Set to Ordered Text: Generating Discharge Instructions from Medical Billing Codes
Litton J Kurisinkel, Nancy F. Chen. Conference on Empirical Methods in Natural Language Processing (EMNLP), 2019. Cites: paper

Simple Rules for Predicting Congestion Risk in Queueing Systems: Application to ICUs
Fernanda Bravo, Cynthia D Rudin, Yaron Shaposhnik et al. SSRN Electronic Journal, 2019. Cites: paper

Stratified Mortality Prediction of Patients with Acute Kidney Injury in Critical Care
Zhenxing Xu, Yuan Luo, Prakash M. Adekkanattu et al. Studies in health technology and informatics, 2019. Cites: paper

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