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

Interesting Recommendations Based on Hierarchical Visualizations of Medical Data
Ibrahim A. Ibrahim, Abdulqader M. Almars, Suresh Pokharel et al. Lecture notes in computer science, 2018. Cites: paper

Joint Embedding of Words and Labels for Text Classification
Guoyin Wang, Chunyuan Li, Wenlin Wang et al. Annual Meeting of the Association for Computational Linguistics (ACL), 2018. Cites: paper

Learning Patient Representations from Text
Dmitriy Dligach, Timothy A. Miller. Joint Conference on Lexical and Computational Semantics, 2018. Cites: paper

Learning to Identify Rare Disease Patients from Electronic Health Records.
R. Colbaugh, Kristin Glass, Christopher Rudolf et al. PubMed Central, 2018. Cites: paper

Learning Treatment Regimens from Electronic Medical Records
Khanh Hung Hoang, Tu Bao Ho. Lecture notes in computer science, 2018. Cites: paper

Lessons from Natural Language Inference in the Clinical Domain
Alexey Romanov, Chaitanya Shivade. Conference on Empirical Methods in Natural Language Processing (EMNLP), 2018. Cites: paper

Machine Intelligence in Healthcare and Medical Cyber Physical Systems: A Survey
Omid Rajabi Shishvan, Daphney–Stavroula Zois, Tolga Soyata. IEEE Access, 2018. Cites: paper

Mean arterial pressure and mortality in patients with distributive shock: a retrospective analysis of the MIMIC-III database
Jean‐Louis Vincent, Nathan D. Nielsen, Nathan Ivan Shapiro et al. Annals of Intensive Care, 2018. Cites: paper

Mining Typical Drug Use Patterns Based on Patient Similarity from Electronic Medical Records
Jingfeng Chen, Chonghui Guo, Leilei Sun et al. Communications in computer and information science, 2018. Cites: paper

Multicentre validation of a sepsis prediction algorithm using only vital sign data in the emergency department, general ward and ICU
Qingqing Mao, Melissa Jay, Jana L. Hoffman et al. BMJ Open, 2018. Cites: paper

Natural language processing for precision clinical diagnostics and treatment
Isabel Chien. DSpace@MIT (Massachusetts Institute of Technology), 2018. Cites: paper

Neural Interaction Transparency (NIT): Disentangling Learned Interactions for Improved Interpretability
Michael Tsang, Hanpeng Liu, Sanjay Purushotham et al. neural information processing systems, 2018. Cites: paper

Overview of the DIANN Task: Disability Annotation Task.
Hermenegildo Fabregat, Juan Martínez-Romo, Lourdes Araujo. 2018. Cites: paper

Patient2Vec: A Personalized Interpretable Deep Representation of the Longitudinal Electronic Health Record
Jinghe Zhang, Kamran Kowsari, James H. Harrison et al. IEEE Access, 2018. Cites: paper

Personalized Prescription for Comorbidity
Lu Wang, Wei Zhang, Xiaofeng He et al. Lecture notes in computer science, 2018. Cites: paper

Predicting Mortality in Diabetic ICU Patients Using Machine Learning and Severity Indices.
Rajsavi Anand, Paul Stey, Sukrit S. Jain et al. Europe PMC (PubMed Central), 2018. Cites: paper

Prediction of Acute Kidney Injury With a Machine Learning Algorithm Using Electronic Health Record Data
Hamid Mohamadlou, Anna Lynn-Palevsky, Christopher Barton et al. Canadian Journal of Kidney Health and Disease, 2018. Cites: paper

Privacy-Preserving Attribute-Based Access Control Model for XML-Based Electronic Health Record System
Kwangsoo Seol, Young‐Gab Kim, Euijong Lee et al. IEEE Access, 2018. Cites: paper

Proceedings of the BioNLP 2018 workshop
2018. Cites: paper

Proceedings of the Ninth International Workshop on Health Text Mining and Information Analysis
2018. Cites: paper

Quantifying racial disparities in end-of-life care
William Boag. DSpace@MIT (Massachusetts Institute of Technology), 2018. Cites: paper

Recognizing Diseases from Physiological Time Series Data Using Probabilistic Model
Danni Wang, Li Liu, Guoxin Su et al. Lecture notes in computer science, 2018. Cites: paper

Revisiting neural relation classification in clinical notes with external information
Simon Šuster, Madhumita Sushil, Walter M. P. Daelemans. International Workshop on Health Text Mining and Information Analysis (LOUHI), 2018. Cites: paper

Scalable and accurate deep learning with electronic health records.
Alvin Rajkomar, Eyal Oren, Chen, Kai et al. eScholarship (California Digital Library), 2018. Cites: paper

Self-training improves Recurrent Neural Networks performance for Temporal Relation Extraction
Chen Lin, Timothy Miller, Dmitriy Dligach et al. International Workshop on Health Text Mining and Information Analysis (LOUHI), 2018. Cites: paper

Towards Quantifying Uncertainty in Data Analysis & Exploration.
Yeounoh Chung, Sacha Servan-Schreiber, Emanuel Zgraggen et al. IEEE Data(base) Engineering Bulletin, 2018. Cites: paper

Using Demographic Factors and Comorbidities to Develop a Predictive Model for ICU Mortality in Patients with Acute Exacerbation COPD.
Sukrit S. Jain, Indra Neil Sarkar, Paul Stey et al. Europe PMC (PubMed Central), 2018. Cites: paper

Using Features From Pre-trained TimeNET For Clinical Predictions.
Priyanka Gupta, Pankaj Malhotra, Lovekesh Vig et al. International Joint Conference on Artificial Intelligence, 2018. Cites: paper

Using Neural Multi-task Learning to Extract Substance Abuse Information from Clinical Notes.
Kevin Lybarger, Meliha Yetişgen, Mari Ostendorf E. Europe PMC (PubMed Central), 2018. Cites: paper

What's in a Note? Unpacking Predictive Value in Clinical Note Representations.
Willie Boag, Dustin Doss, Tristan Naumann et al. Europe PMC (PubMed Central), 2018. Cites: paper

An Interpretable Machine Learning Model for Accurate Prediction of Sepsis in the ICU
Shamim Nemati, Andre L. Holder, Fereshteh Razmi et al. Critical Care Medicine, 2017. Cites: paper

Critical care data processing tools
Sinan Shi, David Pérez–Suárez, Steve K. Harris et al. The Journal of Open Source Software, 2017. Cites: paper

Patient ranking with temporally annotated data
Luca Bonomi, Xiaoqian Jiang. Journal of Biomedical Informatics, 2017. Cites: paper

Performance Comparison of Systemic Inflammatory Response Syndrome with Logistic Regression Models to Predict Sepsis in Neonates
Jyoti Thakur, Sharvan Kumar Pahuja, Roop Pahuja. Children, 2017. Cites: paper

Effect of Boarding on Mortality in ICUs
Robert Stretch, Nicolás Della Penna, Leo Anthony Celi et al. Critical Care Medicine, 2017. Cites: paper

Representation Learning of Longitudinal Electronic Health Record Data for Patient Characterization and Prediction of Health Outcomes
Jinghe Zhang. 2017. Cites: paper

Behind the scenes: A medical natural language processing project
Joy Tzung-Yu Wu, Franck Dernoncourt, Sebastian Gehrmann et al. International Journal of Medical Informatics, 2017. Cites: paper

Convolutional Neural Networks for Medical Diagnosis from Admission Notes
Christy Y. Li, Dimitris Konomis, Graham Neubig et al. arXiv (Cornell University), 2017. Cites: paper

AWE-CM Vectors: Augmenting Word Embeddings with a Clinical Metathesaurus
Willie Boag, Hassan Kané. arXiv (Cornell University), 2017. Cites: paper

Representation and Reinforcement Learning for Personalized Glycemic Control in Septic Patients
Wei‐Hung Weng, Mingwu Gao, Ze Gang He et al. arXiv (Cornell University), 2017. Cites: paper

A multi-task machine learning approach for comorbid patient prioritization
Goutam Mylavarapu, Johnson P. Thomas. IEEE International Conference on Big Data (BigData), 2017. Cites: paper

Blood Pressure Prediction Based on Pattern Classification
Yue Zhang, Zhimeng Feng. International Conference on Advanced Computing, 2017. Cites: paper

Discovering health-care processes using DeciClareMiner
Steven Mertens, Frederik Gailly, Geert Poels. Health Systems, 2017. Cites: paper

Enabling query processing across heterogeneous data models: A survey
Ran Tan, Rada Y. Chirkova, Vijay N. Gadepally et al. IEEE International Conference on Big Data (BigData), 2017. Cites: paper

Severity of Illness Scores May Misclassify Critically Ill Obese Patients*
Rodrigo Octávio Deliberato, Stephanie Q Ko, Matthieu Komorowski et al. Critical Care Medicine, 2017. Cites: paper

Deep Reinforcement Learning for Sepsis Treatment
Aniruddh Raghu, Matthieu Komorowski, Ahmed, Imran et al. arXiv (Cornell University), 2017. Cites: paper

Towards enhanced hierarchical attention networks in ICD-9 tagging of clinical notes
Mary Jane C. Samonte, Bobby D. Gerardo, Ruji P. Medina. International Conference on Communication and Information Processing (ICCIP), 2017. Cites: paper

Nutritional Status Plays a Crucial Role in the Mortality of Critically Ill Patients with Acute Renal Failure
Haiyan Zhang, Xiaodong Zhang, Lei Dong. Journal of Investigative Medicine, 2017. Cites: paper

Mapping Patient Trajectories using Longitudinal Extraction and Deep Learning in the MIMIC-III Critical Care Database
Brett K. Beaulieu‐Jones, Patryk Orzechowski, Jason H. Moore. Pacific Symposium on Biocomputing (PSB), 2017. Cites: paper

Promoting Secondary Analysis of Electronic Medical Records in China: Summary of the PLAGH-MIT Critical Data Conference and Health Datathon
Peiyao Li, Chen Xie, Tom Pollard et al. JMIR Medical Informatics, 2017. Cites: paper

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