Publications citing MIMIC-III Waveform Database v1.0

A Clinically Practical and Interpretable Deep Model for ICU Mortality Prediction with External Validation.
Yanni Kang, Xiaoyu Jia, Kaifei Wang et al. PubMed Central, 2020. Cites: paper

Acute Hypertensive Episodes Prediction
Nevo Itzhak, Aditya Nagori, Edo Lior et al. Lecture notes in computer science, 2020. Cites: paper

Adaptive Prediction Timing for Electronic Health Records
Deasy, Jacob, Ari Ercole, Píetro Lió. arXiv (Cornell University), 2020. Cites: paper

Additional file 1 of Predicting 30-days mortality for MIMIC-III patients with sepsis-3: a machine learning approach using XGboost
Nianzong Hou, Mingzhe Li, Lu He et al. Figshare, 2020. Cites: paper

A Hybrid BERT Model That Incorporates Label Semantics via Adjustive Attention for Multi-Label Text Classification
Linkun Cai, Yu Song, Tao Liu et al. IEEE Access, 2020. Cites: paper

A Hybrid Deep Learning Approach for Spatial Trigger Extraction from Radiology Reports
Surabhi Datta, Kirk E Roberts. 2020. Cites: paper

AI Accelerated Human-in-the-loop Structuring of Radiology Reports.
Joy Tzung-Yu Wu, Ali Syed, Hassan Ahmad et al. PubMed Central, 2020. Cites: paper

A Method for Decompensation Prediction in Emergency and Harsh Situations
Guozheng Rao, Shuying Zhao, Li Zhang et al. Lecture notes in computer science, 2020. Cites: paper

An Effective Transition-based Model for Discontinuous NER
Xiang Dai, Sarvnaz Karimi, Ben Hachey et al. Annual Meeting of the Association for Computational Linguistics (ACL), 2020. Cites: paper

An Empirical Study on Large-Scale Multi-Label Text Classification Including Few and Zero-Shot Labels
Ilias Chalkidis, Manos Fergadiotis, Sotiris Kotitsas et al. Conference on Empirical Methods in Natural Language Processing (EMNLP), 2020. Cites: paper

An Ensemble Approach for Automatic Structuring of Radiology Reports
Morteza Pourreza Shahri, Amir M. Tahmasebi, Bingyang Ye et al. Clinical Natural Language Processing Workshop (ClinicalNLP), 2020. Cites: paper

A New Classification Technique Based on the Combination of Inner Evidence
Thanh-Phu Nguyen, Van‐Nam Huynh. Lecture notes in computer science, 2020. Cites: paper

A New Hybrid Predictive Model to Predict the Early Mortality Risk in Intensive Care Units on a Highly Imbalanced Dataset
Ramin Ghorbani, Rouzbeh Ghousi, Ahmad Makui et al. IEEE Access, 2020. Cites: paper

An Experimental Study of Time Series Based Patient Similarity with Graphs
Kalkidan Fekadu Eteffa, Samuel Ansong, Chao Li et al. Lecture notes in computer science, 2020. Cites: paper

Anion Gap Was Associated with Inhospital Mortality and Adverse Clinical Outcomes of Coronary Care Unit Patients
Tienan Sun, Chenghui Cai, Hua Shen et al. BioMed Research International, 2020. Cites: paper

Application of Machine Learning and Word Embeddings in the Classification of Cancer Diagnosis Using Patient Anamnesis
Andrés Ramos Magna, Héctor Allende‐Cid, Carla Taramasco et al. IEEE Access, 2020. Cites: paper

A Practical Approach to Artificial Intelligence in Plastic Surgery
Akash A. Chandawarkar, Christian Chartier, Jonathan Kanevsky et al. Aesthetic Surgery Journal Open Forum, 2020. Cites: paper

Artificial Intelligence in Subspecialties
Anthony C. Chang. Elsevier eBooks, 2020. Cites: paper

Association between Body Mass Index and Short‐Term Clinical Outcomes in Critically Ill Patients with Sepsis: A Real‐World Study
Shan Lin, Shanhui Ge, Wanmei He et al. BioMed Research International, 2020. Cites: paper

Association between Neutrophil Percentage‐to‐Albumin Ratio and All‐Cause Mortality in Critically Ill Patients with Coronary Artery Disease
Tienan Sun, Hua Shen, Qianyun Guo et al. BioMed Research International, 2020. Cites: paper

Association of Acidemia With Short-Term Mortality of Acute Myocardial Infarction: A Retrospective Study Base on MIMIC-III Database
Tang Zhang, Yao‐Zong Guan, Hao Liu. Clinical and Applied Thrombosis/Hemostasis, 2020. Cites: paper

A Survey on Precision Treatment for Humans Using Cognitive Machine Learning Techniques
M. Srivani, T. Mala, Abirami Murugappan. Advances in computational intelligence and robotics book series, 2020. Cites: paper

Atrial Fibrillation Identification With PPG Signals Using a Combination of Time-Frequency Analysis and Deep Learning
Peng Cheng, Zhencheng Chen, Quanzhong Li et al. IEEE Access, 2020. Cites: paper

Automatic Visual Recommendation for Data Science and Analytics
Manoj Muniswamaiah, Tilak Agerwala, Charles C. Tappert. Advances in intelligent systems and computing, 2020. Cites: paper

Axes of a revolution: challenges and promises of big data in healthcare
Smadar Shilo, Hagai Rossman, Eran Segal. Nature Medicine, 2020. Cites: paper

Benchmarking Predictive Models in Electronic Health Records: Sepsis Length of Stay Prediction
Belal Saeed Alsinglawi, Fady S.K. Alnajjar, Omar Mubin et al. Advances in intelligent systems and computing, 2020. Cites: paper

BERT-XML: Large Scale Automated ICD Coding Using BERT Pretraining
Zachariah Zhang, Jingshu Liu, Narges Razavian. Clinical Natural Language Processing Workshop (ClinicalNLP), 2020. Cites: paper

BioMegatron: Larger Biomedical Domain Language Model
Hoo-Chang Shin, Yang Zhang, Evelina Bakhturina et al. Conference on Empirical Methods in Natural Language Processing (EMNLP), 2020. Cites: paper

Building Electronic Health Record Databases for Research
Lucas Bulgarelli, Antonio Núñez-Reiz, Rodrigo Octávio Deliberato. Springer eBooks, 2020. Cites: paper

Can Neo4j Replace PostgreSQL in Healthcare?
Jessica A M Stothers, Andrew Nguyen. PubMed Central, 2020. Cites: paper

CharacterBERT: Reconciling ELMo and BERT for Word-Level Open-Vocabulary Representations From Characters
Hicham El Boukkouri, Olivier Ferret, Thomas Lavergne et al. International Conference on Computational Linguistics, 2020. Cites: paper

Classification of Syncope Cases in Norwegian Medical Records
Ildikó Pilán, Pål H. Brekke, Fredrik Andreas Dahl et al. Clinical Natural Language Processing Workshop (ClinicalNLP), 2020. Cites: paper

Clinical-Coder: Assigning Interpretable ICD-10 Codes to Chinese Clinical Notes
Pengfei Cao, Chenwei Yan, Xiangling Fu et al. Annual Meeting of the Association for Computational Linguistics: System Demonstrations (ACL Demo), 2020. Cites: paper

Clinical Concept Linking with Contextualized Neural Representations
Elliot Schumacher, Andriy Mulyar, Mark H. Dredze. Annual Meeting of the Association for Computational Linguistics (ACL), 2020. Cites: paper

Clinical Reading Comprehension: A Thorough Analysis of the emrQA Dataset
Xiang Yue, Bernal Jiménez Gutiérrez, Huan Sun. Annual Meeting of the Association for Computational Linguistics (ACL), 2020. Cites: paper

Clinical XLNet: Modeling Sequential Clinical Notes and Predicting Prolonged Mechanical Ventilation
Kexin Huang, Abhishek Singh, Sitong Chen et al. Clinical Natural Language Processing Workshop (ClinicalNLP), 2020. Cites: paper

Closing the Gap: Joint De-Identification and Concept Extraction in the Clinical Domain
Lukas Lange, Heike Adel, Jannik Strötgen. Annual Meeting of the Association for Computational Linguistics (ACL), 2020. Cites: paper

Cloud Services for Patient Cohort Identification Using the Informatics for Integrating Biology and the Bedside Platform
Kavishwar B. Wagholikar, Shreekanth Joshi, Vishal Pai Vernekar et al. BioMed Research International, 2020. Cites: paper

Clustering Large-scale Diverse Electronic Medical Records to Aid Annotation for Generic Named Entity Recognition.
Nithin Haridas, Yubin Kim. 2020. Cites: paper

Combining Deep Learning and Knowledge-driven Reasoning for Chest X-Ray Findings Detection.
Ashutosh Jadhav, Ken C. L. Wong, Joy Tzung-Yu Wu et al. PubMed Central, 2020. Cites: paper

Comparative Analysis of Text Classification Approaches in Electronic Health Records
Aurelie Mascio, Željko Kraljević, Daniel M. Bean et al. Workshop on Biomedical Language Processing (BioNLP), 2020. Cites: paper

Comparative Study of Various Approaches for Ensemble-based De-identification of Electronic Health Record Narratives.
Young-Jun Kim, Paul M. Heider, Stéphane M Meystre. PubMed Central, 2020. Cites: paper

Comparing High Dimensional Word Embeddings Trained on Medical Text to Bag-of-Words for Predicting Medical Codes
Vithya Yogarajan, Henry Gouk, Tony C. Smith et al. Lecture notes in computer science, 2020. Cites: paper

Continuous Non-Invasive Blood Pressure Monitoring: A Methodological Review on Measurement Techniques
Tai Le, Floranne Ellington, Tao-Yi Lee et al. IEEE Access, 2020. Cites: paper

Coupled Graph Convolutional Neural Networks for Text-Oriented Clinical Diagnosis Inference
Ning Liu, Wei Zhang, Xiuxing Li et al. Lecture notes in computer science, 2020. Cites: paper

Cross-Lingual Transfer Learning for Medical Named Entity Recognition
Pengjie Ding, Lei Wang, Yaobo Liang et al. Lecture notes in computer science, 2020. Cites: paper

Data quality checking for machine learning with MeSQuaL [demonstration paper]
Ugo Comignani, Noël Novelli, Laure Berti‐Équille. 2020. Cites: paper

Deceased serum bilirubin and albumin levels in the assessment of severity and mortality in patients with acute pancreatitis
Xiao Xu, Fen Ai, Min Huang. International Journal of Medical Sciences, 2020. Cites: paper

Deep Contextualized Medical Concept Normalization in Social Media Text
K. Subramanyam, S. Sangeetha. Procedia Computer Science, 2020. Cites: paper

Deep learning for financial banking stress test analytics
Farid Razzak. 2020. Cites: paper

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