Publications citing MIMIC-III Waveform Database v1.0

Attention is not Explanation
Sarthak Jain, Byron Wallace. Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies (NAACL-HLT), 2019. Cites: paper

Attention is not not Explanation
Sarah Wiegreffe, Yuval Pinter. Conference on Empirical Methods in Natural Language Processing (EMNLP), 2019. Cites: paper

Automatic ICD Code Assignment based on ICD's Hierarchy Structure for Chinese Electronic Medical Records.
Lingyu Cao, Dazhong Gu, Yuan Ni et al. PubMed Central, 2019. Cites: paper

Big data and machine learning in critical care: Opportunities for collaborative research
A. Núñez Reiz. Medicina Intensiva (English Edition), 2019. Cites: paper

BioNLP-OST 2019 RDoC Tasks: Multi-grain Neural Relevance Ranking Using Topics and Attention Based Query-Document-Sentence Interactions
Pankaj Gupta, Yatin Chaudhary, Hinrich Schütze. Workshop on BioNLP Open Shared Tasks (BioNLP-OST), 2019. Cites: paper

Cardiovascular Computing in the Intensive Care Unit
Spyretta Golemati. Series in bioengineering, 2019. Cites: paper

Causal Inference From Observational Data: New Guidance From Pulmonary, Critical Care, and Sleep Journals
David M. Maslove, Daniel E. Leisman. Critical Care Medicine, 2019. Cites: paper

Clinical Case Reports for NLP
Cyril Grouin, Natalia Grabar, Vincent Claveau et al. BioNLP Workshop and Shared Task (BioNLP), 2019. Cites: paper

Clinical Natural Language Processing with Deep Learning
Sadid A. Hasan, Oladimeji Farri. Springer eBooks, 2019. Cites: paper

Closed-World Semantics for Conjunctive Queries with Negation over $$\mathcal {ELH}_\bot $$ Ontologies
Stefan Borgwardt, Walter Forkel. Lecture notes in computer science, 2019. Cites: paper

Closed-World Semantics for Conjunctive Queries with Negation over ELH⊥ Ontologies
Stefan Borgwardt, Walter Forkel. 2019. Cites: paper

Clustering-Enhanced Stochastic Gradient MCMC for Hidden Markov Models
Rihui Ou. 2019. Cites: paper

Coherence-based Modeling of Clinical Concepts Inferred from Heterogeneous Clinical Notes for ICU Patient Risk Stratification
Tushaar Gangavarapu, Gokul S Krishnan, S. Sowmya Kamath. Conference on Computational Natural Language Learning, 2019. Cites: paper

Combining Structured and Free-text Electronic Medical Record Data for Real-time Clinical Decision Support
Emilia Apostolova, Tony Wang, Tim Tschampel et al. BioNLP Workshop and Shared Task (BioNLP), 2019. Cites: paper

Context-Driven Concept Annotation in Radiology Reports: Anatomical Phrase Labeling.
Henghui Zhu, Ioannis Ch. Paschalidis, Christopher Hall et al. PubMed Central, 2019. Cites: paper

Continuous Patient-Centric Sequence Generation via Sequentially Coupled Adversarial Learning
Lu Wang, Wei Zhang, Xiaofeng He. Lecture notes in computer science, 2019. Cites: paper

CRESA: A Deep Learning Approach to Competing Risks, Recurrent Event Survival Analysis
Garima Gupta, Vishal Sunder, Ranjitha Prasad et al. Lecture notes in computer science, 2019. Cites: paper

Critical Care, Critical Data
Christopher V. Cosgriff, Leo Anthony Celi, David J. Stone. Biomedical Engineering and Computational Biology, 2019. Cites: paper

Deep Interpretable Mortality Model for Intensive Care Unit Risk Prediction
Zhenkun Shi, Weitong Chen, Shining Liang et al. Lecture notes in computer science, 2019. Cites: paper

Deep Learning-Based Electrocardiogram Signal Noise Detection and Screening Model
Dukyong Yoon, Hong‐Seok Lim, Kyoungwon Jung et al. Healthcare Informatics Research, 2019. Cites: paper

Deep Learning for Electronic Health Records Analytics
Gaspard Harerimana, Jong Wook Kim, Hoon Yoo et al. IEEE Access, 2019. Cites: paper

Deep Learning from Incomplete Data: Detecting Imminent Risk of Hospital-acquired Pneumonia in ICU Patients.
Travis R. Goodwin, Dina Demner‐Fushman. PubMed Central, 2019. Cites: paper

Deep Patient Representation of Clinical Notes via Multi-Task Learning for Mortality Prediction.
Yuqi Si, Kirk E Roberts. PubMed Central, 2019. Cites: paper

Detecting MRSA Infections by Fusing Structured and Unstructured Electronic Health Record Data
Thomas Hartvigsen, Cansu Şen, Elke Angelika Rundensteiner. Communications in computer and information science, 2019. Cites: paper

Diagnostic Model Explanations: A Medical Narrative.
Umang Bhatt, Brian M. Davis, José M. F. Moura. National Conference on Artificial Intelligence, 2019. Cites: paper

Distributional Semantics of Clinical Words
Vamsi Krishna, Srikanth Mujjiga, Kalyan Chakravarthil et al. IEEE International Conference on Semantic Computing (ICSC), 2019. Cites: paper

DMMAM: Deep Multi-source Multi-task Attention Model for Intensive Care Unit Diagnosis
Zhenkun Shi, Wanli Zuo, Weitong Chen et al. Lecture notes in computer science, 2019. Cites: paper

Early Prediction of 30-Day ICU Re-admissions Using Natural Language Processing and Machine Learning
Zhiheng Li, Xinyue Xing, Bingzhang Lu et al. Biomedical Statistics and Informatics, 2019. Cites: paper

Early prediction of acute kidney injury following ICU admission using a multivariate panel of physiological measurements
Lindsay P. Zimmerman, Paul A. Reyfman, Angela D. R. Smith et al. BMC Medical Informatics and Decision Making, 2019. Cites: paper

Edge AIBench: Towards Comprehensive End-to-End Edge Computing Benchmarking
Tianshu Hao, Yunyou Huang, Xu Wen et al. Lecture notes in computer science, 2019. Cites: paper

Embedding Strategies for Specialized Domains: Application to Clinical Entity Recognition
Hicham El Boukkouri, Olivier Ferret, Thomas Lavergne et al. Annual Meeting of the Association for Computational Linguistics: Student Research Workshop (ACL SRW), 2019. Cites: paper

Enhancing Prediction Models for One-Year Mortality in Patients with Acute Myocardial Infarction and Post Myocardial Infarction Syndrome
Seyedeh Neelufar Payrovnaziri, Laura A. Barrett, Daniel Biś et al. Studies in health technology and informatics, 2019. Cites: paper

External Validation of a “Black-Box” Clinical Predictive Model in Nephrology: Can Interpretability Methods Help Illuminate Performance Differences?
Harry FreitasDa Cruz, Boris Pfahringer, Frederic Schneider et al. Lecture notes in computer science, 2019. Cites: paper

Extracting Adverse Drug Event Information with Minimal Engineering
Timothy A. Miller, Alon Geva, Dmitriy Dligach. Clinical Natural Language Processing Workshop (ClinicalNLP), 2019. Cites: paper

Extraction of chemical–protein interactions from the literature using neural networks and narrow instance representation
Rui Antunes, Sérgio Matos. Database, 2019. Cites: paper

Extraction of Lactation Frames from Drug Labels and LactMed
Heath Goodrum, Meghana Gudala, Ankita Misra et al. BioNLP Workshop and Shared Task (BioNLP), 2019. Cites: paper

Extreme Multi-Label Legal Text Classification: A Case Study in
Ilias Chalkidis, Emmanouil Fergadiotis, Prodromos Malakasiotis et al. Natural Legal Language Processing Workshop (NLLP), 2019. Cites: paper

Feature Importance for Biomedical Named Entity Recognition
Hamish Huggard, Aaron Zhang, Edmond Zhang et al. Lecture notes in computer science, 2019. Cites: paper

FoodOntoMap: Linking Food Concepts across Different Food Ontologies
Gorjan Popovski, Barbara Koroušić Seljak, Tome Eftimov. International Joint Conference on Knowledge Discovery, Knowledge Engineering and Knowledge Management, 2019. Cites: paper

Heart Rate and Cardiorespiratory Analysis for Sepsis and Necrotizing Enterocolitis Prediction
Brynne A. Sullivan, Karen D. Fairchild. Elsevier eBooks, 2019. Cites: paper

Hypersphere clustering to characterize healthcare providers using prescriptions and procedures from Medicare claims data.
Nathanael R. Fillmore, Sergey D. Goryachev, Jeremy C. Weiss. PubMed Central, 2019. Cites: paper

Identification of Adverse Drug Reaction Mentions in Tweets – SMM4H Shared Task 2019
Samarth C Rawal, Siddharth Rawal, Saadat Anwar et al. Social Media Mining for Health Research and Applications Workshop and Shared Tasks (SMM4H), 2019. Cites: paper

Identification of Serious Illness Conversations in Unstructured Clinical Notes Using Deep Neural Networks
Isabel Chien, Alvin Shi, Alex Chan et al. Lecture notes in computer science, 2019. Cites: paper

Identifying Clinical Terms in Free-Text Notes Using Ontology-Guided Machine Learning
Aryan Arbabi, David R. Adams, Sanja Fidler et al. Lecture notes in computer science, 2019. Cites: paper

IFFLC: An Integrated Framework of Feature Learning and Classification for Multiple Diagnosis Codes Assignment
Yuwen Li, Weitong Chen, Deyin Liu et al. IEEE Access, 2019. Cites: paper

Improving length of stay prediction using a hidden Markov model.
Mani Sotoodeh, Joyce C. Ho. PubMed Central, 2019. Cites: paper

Incorporating Domain Knowledge into Medical NLI using Knowledge Graphs
Soumya Sharma, Bishal Santra, Abhik Jana et al. Conference on Empirical Methods in Natural Language Processing (EMNLP), 2019. Cites: paper

Incorporating Domain Knowledge into Natural Language Inference on Clinical Texts
Mingming Lu, Yu K. Fang, Fengqi Yan et al. IEEE Access, 2019. Cites: paper

Integrating shortest dependency path and sentence sequence into a deep learning framework for relation extraction in clinical text
Zhiheng Li, Zhihao Yang, Chen Shen et al. BMC Medical Informatics and Decision Making, 2019. Cites: paper

Interactive Deep Metric Learning for Healthcare Cohort Discovery
Yang Wang, Guodong Long, Xueping Peng et al. Communications in computer and information science, 2019. Cites: paper

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