Publications citing MIMIC-III Waveform Database v1.0

Mortality prediction for ICU patients with individualized single classification method
Xin Ma, Xiaosu Guo, Youqing Wang. IFAC-PapersOnLine, 2020. Cites: paper

Mortality Risk Score for Critically Ill Patients with Viral or Unspecified Pneumonia: Assisting Clinicians with COVID-19 ECMO Planning
Helen Zhou, Cheng Cheng, Zachary C. Lipton et al. Lecture notes in computer science, 2020. Cites: paper

Multi-information Source HIN for Medical Concept Embedding
Yuwei Cao, Hao Ming Peng, Philip S. Yu. Lecture notes in computer science, 2020. Cites: paper

Multi-label Few/Zero-shot Learning with Knowledge Aggregated from Multiple Label Graphs
Jueqing Lu, Lan Du, Ming Liu et al. Conference on Empirical Methods in Natural Language Processing (EMNLP), 2020. Cites: paper

Multiple Sclerosis Severity Classification From Clinical Text
Alister D’Costa, Stefan Denkovski, Michal Malyska et al. Clinical Natural Language Processing Workshop (ClinicalNLP), 2020. Cites: paper

Multi-scale Temporal Memory for Clinical Event Time-Series Prediction
Jeong Min Lee, Miloš Hauskrecht. Lecture notes in computer science, 2020. Cites: paper

Mutual Information Driven Federated Learning
Md Palash Uddin, Yong Xiang, Xuequan Lu et al. IEEE Transactions on Parallel and Distributed Systems, 2020. Cites: paper

Neural Topic Models with Survival Supervision: Jointly Predicting Time-to-Event Outcomes and Learning How Clinical Features Relate
Linhong Li, Ren Zuo, Amanda Coston et al. Lecture notes in computer science, 2020. Cites: paper

Noise Pollution in Hospital Readmission Prediction: Long Document Classification with Reinforcement Learning
Liyan Xu, Julien Hogan, Rachel E. Patzer et al. Workshop on Biomedical Language Processing (BioNLP), 2020. Cites: paper

Nomogram to predict the risk of septic acute kidney injury in the first 24 h of admission: an analysis of intensive care unit data
Fuxing Deng, Milin Peng, Jing Li et al. Renal Failure, 2020. Cites: paper

Not a cute stroke: Analysis of Rule- and Neural Network-based Information Extraction Systems for Brain Radiology Reports
Andreas Grivas, Beatrice Alex, Claire Grover et al. International Workshop on Health Text Mining and Information Analysis (LOUHI), 2020. Cites: paper

Objective Pain Assessment Using Vital Signs
Burak Erdoğan, Hasan Oğul. Procedia Computer Science, 2020. Cites: paper

Oxygen exposure as quantified by time-weighted area under curve for arterial oxygen content is associated with mortality in mechanically ventilated critically ill patients
JamesP Harvey, DayalG Jayawardena, Mahesh Ramanan. Research and Opinion in Anesthesia and Intensive Care, 2020. Cites: paper

Patient clustering using electronic medical records
Andrew Shea. 2020. Cites: paper

Patient Representation Transfer Learning from Clinical Notes based on Hierarchical Attention Network.
Yuqi Si, Kirk E Roberts. PubMed Central, 2020. Cites: paper

Patient Similarity via Joint Embeddings of Medical Knowledge Graph and Medical Entity Descriptions
Zhihuang Lin, Dan Yang, Xiaochun Yin. IEEE Access, 2020. Cites: paper

Paying Per-Label Attention for Multi-label Extraction from Radiology Reports
Patrick Schrempf, Hannah Isabella Watson, Shadia S. Mikhael et al. Lecture notes in computer science, 2020. Cites: paper

PharmMT: A Neural Machine Translation Approach to Simplify Prescription Directions
Jiazhao Li, Corey A. Lester, Xinyan Zhao et al. Findings of the Association for Computational Linguistics: EMNLP (Findings of EMNLP), 2020. Cites: paper

PHICON: Improving Generalization of Clinical Text De-identification Models via Data Augmentation
Xiang Yue, Shuang Zhou. Clinical Natural Language Processing Workshop (ClinicalNLP), 2020. Cites: paper

Practical Lessons from Generating Synthetic Healthcare Data with Bayesian Networks
Juan de Benedetti, Namir Oues, Zhenchen Wang et al. Communications in computer and information science, 2020. Cites: paper

Precision medicine in anesthesiology
Laleh Jalilian, Maxime Cannesson. International Anesthesiology Clinics, 2020. Cites: paper

Predicting Clinical Diagnosis from Patients Electronic Health Records Using BERT-Based Neural Networks
Pavel Blinov, Manvel Avetisian, Vladimir Kokh et al. Lecture notes in computer science, 2020. Cites: paper

Predicting Clinical Outcomes with Patient Stratification via Deep Mixture Neural Networks.
Xiangrui Li, Dongxiao Zhu, Phillip David Levy. PubMed Central, 2020. Cites: paper

Predicting Infections Using Computational Intelligence – A Systematic Review
Alejandro Baldominos, Adrián Puello, Hasan Oğul et al. IEEE Access, 2020. Cites: paper

Predicting Multiple ICD-10 Codes from Brazilian-Portuguese Clinical Notes
Arthur D. Reys, Danilo Silva, Daniel Severo et al. Lecture notes in computer science, 2020. Cites: paper

Predicting Volume Responsiveness Among Sepsis Patients Using Clinical Data and Continuous Physiological Waveforms.
Rishikesan Kamaleswaran, Jiaoying Lian, Dong-Lien Lin et al. PubMed Central, 2020. Cites: paper

Pressure Ulcer Injury in Unstructured Clinical Notes: Detection and Interpretation.
Mani Sotoodeh, Zelalem Gero, Wenhui Zhang et al. PubMed Central, 2020. Cites: paper

Proceedings of the 5th Workshop on Representation Learning for NLP
2020. Cites: paper

Prognostic factors for patients with multiple myeloma admitted to the intensive care unit
Xiangwen Diao, Ruibin Cai, Jieyu Luo et al. Hematology, 2020. Cites: paper

Progress Indication for Deep Learning Model Training: A Feasibility Demonstration
Qifei Dong, Gang Luo. IEEE Access, 2020. Cites: paper

Relative and Incomplete Time Expression Anchoring for Clinical Text
Louise Dupuis, Nicol Bergou, Hegler Correa Tissot et al. Clinical Natural Language Processing Workshop (ClinicalNLP), 2020. Cites: paper

Representing EHRs with Temporal Tree and Sequential Pattern Mining for Similarity Computing
Suresh Pokharel, Guido Zuccon, Xue Li. Lecture notes in computer science, 2020. Cites: paper

Research
William Hersh. Health informatics, 2020. Cites: paper

Safety of Artificial Intelligence: A Collaborative Model.
John A. McDermid, Yan Jia. International Joint Conference on Artificial Intelligence, 2020. Cites: paper

Semi‐supervised joint learning for longitudinal clinical events classification using neural network models
Weijing Tang, Jiaqi Ma, Akbar K. Waljee et al. Stat, 2020. Cites: paper

Sepsis Deterioration Prediction Using Channelled Long Short-Term Memory Networks
Peter Svenson, Giannis Haralabopoulos, Mercedes Torres Torres. Lecture notes in computer science, 2020. Cites: paper

Synthesizing Quality Open Data Assets from Private Health Research Studies
Andrew Yale, Saloni Dash, Karan Bhanot et al. Lecture notes in business information processing, 2020. Cites: paper

Synthetic Data Sharing and Estimation of Viable Dynamic Treatment Regimes with Observational Data
Nina Zhou. Deep Blue (University of Michigan), 2020. Cites: paper

Temperature as a Predictor of Neonatal Sepsis
Jyoti Thakur, S. K. Pahuja, Roop Pahuja. Advances in intelligent systems and computing, 2020. Cites: paper

The E3C Project: Collection and Annotation of a Multilingual Corpus of Clinical Cases
Bernardo Magnini, Begoña Altuna, Alberto Lavelli et al. Accademia University Press eBooks, 2020. Cites: paper

The Neutrophil Percentage‐to‐Albumin Ratio as a New Predictor of All‐Cause Mortality in Patients with Cardiogenic Shock
Yue Shuang Yu, Yu Liu, Xinyu Ling et al. BioMed Research International, 2020. Cites: paper

The Neutrophil Percentage‐to‐Albumin Ratio Is Associated with All‐Cause Mortality in Critically Ill Patients with Acute Kidney Injury
Benji Wang, Diwen Li, Bihuan Cheng et al. BioMed Research International, 2020. Cites: paper

Towards Assigning Diagnosis Codes Using Medication History
Tomer Sagi, Emil Riis Hansen, Katja Hose et al. Lecture notes in computer science, 2020. Cites: paper

Towards Automated Diagnosis with Attentive Multi-modal Learning Using Electronic Health Records and Chest X-Rays
Tom van Sonsbeek, Marcel Worring. Lecture notes in computer science, 2020. Cites: paper

Towards Extracting Absolute Event Timelines From English Clinical Reports
Artuur M. Leeuwenberg, Marie‐Francine Moens. IEEE/ACM Transactions on Audio Speech and Language Processing, 2020. Cites: paper

Towards Transparent and Explainable Attention Models
Akash Kumar Mohankumar, Preksha Nema, Sharan Narasimhan et al. Annual Meeting of the Association for Computational Linguistics (ACL), 2020. Cites: paper

Towards Visual Dialog for Radiology
Olga Kovaleva, Chaitanya Shivade, Satyananda Kashyap et al. Workshop on Biomedical Language Processing (BioNLP), 2020. Cites: paper

Transitive Sequential Pattern Mining for Discrete Clinical Data
Hossein Estiri, Sebastien Vasey, Shawn N. Murphy. Lecture notes in computer science, 2020. Cites: paper

Understanding and Improving Disability Identification in Medical Documents
Hermenegildo Fabregat, Juan Martínez-Romo, Lourdes Araujo. IEEE Access, 2020. Cites: paper

Using Machine Learning Models to Predict the Length of Stay in a Hospital Setting
Rachda Naila Mekhaldi, Patrice Caulier, Sondès Chaabane et al. Advances in intelligent systems and computing, 2020. Cites: paper

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