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

Machine learning for early detection of sepsis: an internal and temporal validation study
Armando Bedoya, Joseph Futoma, Meredith E. Clement et al. JAMIA Open, 2020. Cites: paper

Multi-task Learning via Adaptation to Similar Tasks for Mortality Prediction of Diverse Rare Diseases
Luchen Liu, Zequn Liu, Haoxian Wu et al. PubMed Central, 2020. Cites: paper

Generation and evaluation of privacy preserving synthetic health data
Andrew Yale, Saloni Dash, Ritik Dutta et al. Neurocomputing, 2020. Cites: paper

Modified Bidirectional Encoder Representations From Transformers Extractive Summarization Model for Hospital Information Systems Based on Character-Level Tokens (AlphaBERT): Development and Performance Evaluation
Yen-Pin Chen, Yen-Pin Chen, Jr-Jiun Lin et al. JMIR Medical Informatics, 2020. Cites: paper

Survey on categorical data for neural networks
John Hancock, Taghi M. Khoshgoftaar. Journal Of Big Data, 2020. Cites: paper

Cross-Domain Joint Dictionary Learning for ECG Reconstruction from PPG
Xin Tian, Qiang Zhu, Yuenan Li et al. IEEE International Conference on Acoustics Speech and Signal Processing, 2020. Cites: paper

Exemplar Auditing for Multi-Label Biomedical Text Classification
Allen Schmaltz, Andrew L. Beam. arXiv (Cornell University), 2020. Cites: paper

A visual analytics system for multi-model comparison on clinical data predictions
Yiran Li, Takanori Fujiwara, Yong Kyung Choi et al. Visual Informatics, 2020. Cites: paper

Evaluation of blood pressure estimation models based on pulse arrival time
Jose Manuel Bote, Joaquín Recas, Román Hermida. Computers & Electrical Engineering, 2020. Cites: paper

Automated ICD coding via unsupervised knowledge integration (UNITE)
Aarón Sonabend, Winston Cai, Yuri Ahuja et al. International Journal of Medical Informatics, 2020. Cites: paper

AdaCare: Explainable Clinical Health Status Representation Learning via Scale-Adaptive Feature Extraction and Recalibration
Liantao Ma, Junyi Gao, Yasha Wang et al. Proceedings of the AAAI Conference on Artificial Intelligence, 2020. Cites: paper

Comparative visual analytics for assessing medical records with sequence embedding
Rongchen Guo, Takanori Fujiwara, Yiran Li et al. Visual Informatics, 2020. Cites: paper

ConCare: Personalized Clinical Feature Embedding via Capturing the Healthcare Context
Liantao Ma, Chaohe Zhang, Yasha Wang et al. Proceedings of the AAAI Conference on Artificial Intelligence, 2020. Cites: paper

DATA-GRU: Dual-Attention Time-Aware Gated Recurrent Unit for Irregular Multivariate Time Series
Qingxiong Tan, Mang Ye, Baoyao Yang et al. Proceedings of the AAAI Conference on Artificial Intelligence, 2020. Cites: paper

EMSContExt: EMS Protocol-Driven Concept Extraction for Cognitive Assistance in Emergency Response
Sarah Masud Preum, Sile Shu, Homa Alemzadeh et al. Proceedings of the AAAI Conference on Artificial Intelligence, 2020. Cites: paper

Ensembles of Locally Independent Prediction Models
Andrew Slavin Ross, Weiwei Pan, Leo Anthony Celi et al. Proceedings of the AAAI Conference on Artificial Intelligence, 2020. Cites: paper

Ensembles of Locally Independent Prediction Models
Ross, Andrew, Weiwei Pan, Leo Anthony Celi et al. AAAI Publications (The Association for the Advancement of Artificial Intelligence (AAAI)), 2020. Cites: paper

Federated Patient Hashing
Jie Xu, Zhenxing Xu, Peter Walker et al. Proceedings of the AAAI Conference on Artificial Intelligence, 2020. Cites: paper

Graph-Driven Generative Models for Heterogeneous Multi-Task Learning
Wenlin Wang, Hongteng Xu, Zhe Gan et al. Proceedings of the AAAI Conference on Artificial Intelligence, 2020. Cites: paper

ICD Coding from Clinical Text Using Multi-Filter Residual Convolutional Neural Network
Fei Li, Hong Qing Yu. Proceedings of the AAAI Conference on Artificial Intelligence, 2020. Cites: paper

Learning Conceptual-Contextual Embeddings for Medical Text
Xiao Zhang, Dejing Dou, Ji Yi Wu. Proceedings of the AAAI Conference on Artificial Intelligence, 2020. Cites: paper

Neural Conditional Event Time Models
Matthew Engelhard, Samuel I. Berchuck, Joshua D’Arcy et al. arXiv (Cornell University), 2020. Cites: paper

Regional Tree Regularization for Interpretability in Deep Neural Networks
Mike Wu, Sonali Parbhoo, Michael Hughes et al. Proceedings of the AAAI Conference on Artificial Intelligence, 2020. Cites: paper

TAPER: Time-Aware Patient EHR Representation
Sajad Darabi, Mohammad Kachuee, Shayan Fazeli et al. IEEE Journal of Biomedical and Health Informatics, 2020. Cites: paper

MIMIC-Extract
Shirly Wang, Matthew B. A. McDermott, Geeticka Chauhan et al. arXiv (Cornell University), 2020. Cites: paper

A Dynamic Updating Method for Release of Privacy Protected Data Based on Privacy Differences in Relational Data
Yihan Yu, Hongcheng Li, Yu Fu et al. International Conference on Computer Information and Big Data Applications (CIBDA), 2020. Cites: paper

Assisted Learning: A Framework for Multi-Organization Learning
Xun Xian, Xinran Wang, Jie Ding et al. arXiv (Cornell University), 2020. Cites: paper

Association Between Blood Glucose Within 24 Hours After Intensive Care Unit Admission and Prognosis: A Retrospective Cohort Study
Lingling Li, Qinchang Chen, Qingui Chen et al. Diabetes Metabolic Syndrome and Obesity, 2020. Cites: paper

Deep learning with sentence embeddings pre-trained on biomedical corpora improves the performance of finding similar sentences in electronic medical records
Qingyu Chen, Jingcheng Du, Sun Kim et al. BMC Medical Informatics and Decision Making, 2020. Cites: paper

Estimation and Tracking of Blood Pressure Using Routinely Acquired Photoplethysmographic Signals and Deep Neural Networks
Oded Schlesinger, Nitai Vigderhouse, Yair Moshe et al. Critical Care Explorations, 2020. Cites: paper

Hypochloremia is associated with increased risk of all-cause mortality in patients in the coronary care unit: A cohort study
Zongying Li, Cheng Xing, Tingting Li et al. Journal of International Medical Research, 2020. Cites: paper

Technical Report: Developing a Working Data Hub
Vijay N. Gadepally, Jeremy Kepner. arXiv (Cornell University), 2020. Cites: paper

The advantageous effects of ACE-inhibitors and Angiotensin-receptor blockers on COVID-19 patients
Nommanudien Naibkhil, Anamudien Naibkhil. International Journal of Advanced Academic Studies, 2020. Cites: paper

The Viral Infection and Respiratory Illness Universal Study (VIRUS): An International Registry of Coronavirus 2019-Related Critical Illness
Allan J. Walkey, Vishakha K. Kumar, Michael Oscar Harhay et al. Critical Care Explorations, 2020. Cites: paper

Clinical Text Data in Machine Learning: Systematic Review
‪Irena Spasić, Goran Nenadić. JMIR Medical Informatics, 2020. Cites: paper

Effect of virtual reality meditation on sleep quality of intensive care unit patients: A randomised controlled trial
Soon Young Lee, Jiyeon Kang. Intensive and Critical Care Nursing, 2020. Cites: paper

Evaluating semantic textual similarity in clinical sentences using deep learning and sentence embeddings
Rui Antunes, João Silva, Sérgio Matos. ACM Symposium on Applied Computing, 2020. Cites: paper

Information Bottleneck for Estimating Treatment Effects with Systematically Missing Covariates
Sonali Parbhoo, Mario Wieser, Aleksander Wieczorek et al. Entropy, 2020. Cites: paper

Seeing The Whole Patient: Using Multi-Label Medical Text Classification Techniques to Enhance Predictions of Medical Codes
Vithya Yogarajan, Jacob Montiel, Tony C. Smith et al. arXiv (Cornell University), 2020. Cites: paper

Exploiting sequence labeling framework to extract document-level relations from biomedical texts
Zhiheng Li, Zhihao Yang, Yang Xiang et al. BMC Bioinformatics, 2020. Cites: paper

A machine learning-based model for 1-year mortality prediction in patients admitted to an Intensive Care Unit with a diagnosis of sepsis
Javier E. García-Gallo, Nelson Javier Fonseca-Ruiz, Leo Anthony Celi et al. Medicina Intensiva (English Edition), 2020. Cites: paper

Using word embeddings to improve the privacy of clinical notes
Mohamed Abdalla, Moustafa Abdalla, Frank Rudzicz et al. Journal of the American Medical Informatics Association, 2020. Cites: paper

Impact of obesity on short- and long-term mortality in patients with sepsis: A retrospective analysis of the large clinical database MIMIC-III
Danni Wang, Xin Liang, Shiyu Xia et al. 2020. Cites: paper

Analyzing the role of model uncertainty for electronic health records
Michael W. Dusenberry, Dustin Tran, Edward Choi et al. ACM Conference on Health, Inference, and Learning (CHIL), 2020. Cites: paper

CaliForest
Yubin Park, Joyce C. Ho. ACM Conference on Health, Inference, and Learning (CHIL), 2020. Cites: paper

Defining admissible rewards for high-confidence policy evaluation in batch reinforcement learning
Niranjani Prasad, Barbara Elizabeth Engelhardt, Finale Doshi‐Velez. ACM Conference on Health, Inference, and Learning (CHIL), 2020. Cites: paper

Deidentification of free-text medical records using pre-trained bidirectional transformers
Alistair E. W. Johnson, Lucas Bulgarelli, Tom Pollard. ACM Conference on Health, Inference, and Learning (CHIL), 2020. Cites: paper

Explaining an increase in predicted risk for clinical alerts
Michaela Hardt, Alvin Rajkomar, Gerardo Flores et al. ACM Conference on Health, Inference, and Learning (CHIL), 2020. Cites: paper

Improving Irregularly Sampled Time Series Learning with Dense Descriptors of Time
Rafael T. Sousa, Lucas Araújo Pereira, Anderson da Silva Soares. arXiv (Cornell University), 2020. Cites: paper

MIMIC-Extract
Shirly Wang, Matthew B. A. McDermott, Geeticka Chauhan et al. ACM Conference on Health, Inference, and Learning (CHIL), 2020. Cites: paper

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