Publications citing MIMIC-III Waveform Database v1.0

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

Matching with Text Data: An Experimental Evaluation of Methods for Matching Documents and of Measuring Match Quality
Reagan Mozer, Luke W Miratrix, Aaron Russell Kaufman et al. Political Analysis, 2020. Cites: paper

Multi-label natural language processing to identify diagnosis and procedure codes from MIMIC-III inpatient notes
Anita Kumari Singh, Mounika Guntu, Ananth Reddy Bhimireddy et al. arXiv (Cornell University), 2020. Cites: paper

Validation Process of a High-Resolution Database in a Pediatric Intensive Care Unit -- Describing the Perpetual Patient's Validation
Audrey Mathieu, Michaël Sauthier, Philippe A. Jouvet et al. 2020. Cites: paper

Anonymization Through Data Synthesis Using Generative Adversarial Networks (ADS-GAN)
Jinsung Yoon, Lydia N. Drumright, Mihaela van der Schaar. IEEE Journal of Biomedical and Health Informatics, 2020. Cites: paper

Red blood cell distribution width predicts long-term mortality in critically ill patients with acute kidney injury: a retrospective database study
Linpei Jia, Shijun Cui, Jingyan Yang et al. Scientific Reports, 2020. Cites: paper

Hurtful Words: Quantifying Biases in Clinical Contextual Word Embeddings
Haoran Zhang, Amy X. Lu, Mohamed Abdalla et al. arXiv (Cornell University), 2020. Cites: paper

Lactate indices as predictors of in-hospital mortality or 90-day survival after admission to an intensive care unit in unselected critically ill patients
Yusuke Hayashi, Hiroshi Endoh, Natuo Kamimura et al. PLoS ONE, 2020. Cites: paper

Link Prediction using Graph Neural Networks for Master Data Management
Balaji Ganesan, Srinivas Parkala, Neeraj R Singh et al. arXiv (Cornell University), 2020. Cites: paper

A Corpus for Detecting High-Context Medical Conditions in Intensive Care Patient Notes Focusing on Frequently Readmitted Patients
Edward T. Moseley, Joy Tzung-Yu Wu, Jonathan A. Welt et al. arXiv (Cornell University), 2020. Cites: paper

Prediction modeling—part 1: regression modeling
Eric Hoi Kit Au, Anna Francis, Amélie Bernier-Jean et al. Kidney International, 2020. Cites: paper

An evaluation of time series summary statistics as features for clinical prediction tasks
Chonghui Guo, Menglin Lu, Jingfeng Chen. BMC Medical Informatics and Decision Making, 2020. Cites: paper

Evaluating sentence representations for biomedical text: Methods and experimental results
Noha S. Tawfik, Marco René Spruit. Journal of Biomedical Informatics, 2020. Cites: paper

What went wrong and when? Instance-wise Feature Importance for Time-series Models
Sana Tonekaboni, Shalmali D. Joshi, Campbell, Kieran et al. arXiv (Cornell University), 2020. Cites: paper

Association between furosemide administration and outcomes in critically ill patients with acute kidney injury
Guangju Zhao, Chang Xu, Jianchao Ying et al. Critical Care, 2020. Cites: paper

Use of plasma lactate level to predict 28-day mortality in non-elderly and elderly sepsis patients based on the MIMIC-III database
Yihua Dong, Xiaoyang Miao, Yufeng Hu et al. Research Square, 2020. Cites: paper

Acidosis predicts mortality independently from hyperlactatemia in patients with sepsis
Bernhard Wernly, Nadia Heramvand, Maryna Masyuk et al. European Journal of Internal Medicine, 2020. Cites: paper

A Combined Interpolation and Weighted K-Nearest Neighbours Approach for the Imputation of Longitudinal ICU Laboratory Data
Sebastian Daberdaku, Erica Tavazzi, Barbara Di Camillo. Journal of Healthcare Informatics Research, 2020. Cites: paper

Assessment of Nurses’ Knowledge and Practice for Patients Undergoing a Bronchoscopy [Suggested Nursing Care Guidelines]
Sabah Abass Ahmed, Hala Ghanem, Ali Hassan et al. Assiut Scientific Nursing Journal, 2020. Cites: paper

Early prediction of circulatory failure in the intensive care unit using machine learning
Stephanie L. Hyland, Martin Faltys, Matthias Hüser et al. Nature Medicine, 2020. Cites: paper

Clinical Text Summarization with Syntax-Based Negation and Semantic Concept Identification
Wei‐Hung Weng, Yu-An Chung, Schrasing Tong. arXiv (Cornell University), 2020. Cites: paper

Elixhauser comorbidity measures-based risk factors associated with 30-day mortality in elderly population after femur fracture surgery: a propensity scorematched retrospective case-control study
Dohyung Kim, Hyunmin Jo, Younsuk Lee et al. Acute and Critical Care, 2020. Cites: paper

Graph augmented triplet architecture for fine-grained patient similarity
Yanda Wang, Weitong Chen, Dechang Pi et al. World Wide Web, 2020. Cites: paper

Analysis of electronic health records based on long short‐term memory
Peiying Shi, Feng Hou, Xiangwei Zheng et al. Concurrency and Computation Practice and Experience, 2020. Cites: paper

Predict or draw blood: An integrated method to reduce lab tests
Lishan Yu, Qiuchen Zhang, Elmer Victor Bernstam et al. Journal of Biomedical Informatics, 2020. Cites: paper

A health informatics transformation model based on intelligent cloud computing – exemplified by type 2 diabetes mellitus with related cardiovascular diseases
Hsueh-Chun Lin, Yu-Chen Kuo, Mengyu Liu. Computer Methods and Programs in Biomedicine, 2020. Cites: paper

[Prognostic model of small sample critical diseases based on transfer learning].
Jing Xia, Su Pan, Molei Yan et al. PubMed Central, 2020. Cites: paper

FarSight: Long-Term Disease Prediction Using Unstructured Clinical Nursing Notes
Tushaar Gangavarapu, Gokul S Krishnan, S. Sowmya Kamath et al. IEEE Transactions on Emerging Topics in Computing, 2020. Cites: paper

Fusion enhancement for tracking of respiratory rate through intrinsic mode functions in photoplethysmography
Mikko Pirhonen, Antti T. Vehkaoja. Biomedical Signal Processing and Control, 2020. Cites: paper

Fluid-limiting treatment strategies among sepsis patients in the ICU: a retrospective causal analysis
Zach Shahn, Nathan Ivan Shapiro, Patrick D. Tyler et al. Critical Care, 2020. Cites: paper

Anonymizing Data for Privacy-Preserving Federated Learning
Olivia Choudhury, Aris Gkoulalas-Divanis, Theodoros Salonidis et al. arXiv (Cornell University), 2020. Cites: paper

Statin Use Is Associated With Reduced Mortality On Mechanically Ventilated Patients: A Retrospective Propensity-Matched Analysis Of MIMIC-III Database
Qiuhai Lin, Daonan Chen, Jiyao Xu et al. Research Square, 2020. Cites: paper

Transformer Hawkes Process
Simiao Zuo, Haoming Jiang, Zichong Li et al. arXiv (Cornell University), 2020. Cites: paper

Expert-augmented machine learning
Efstathios D. Gennatas, Jerome H. Friedman, Lyle Ungar et al. Proceedings of the National Academy of Sciences, 2020. Cites: paper

Federated Extra-Trees with Privacy Preserving
Yang Liu, Mingxin Chen, Wenxi Zhang et al. arXiv (Cornell University), 2020. Cites: paper

Prediction of Ankle Brachial Index with Photoplethysmography Using Convolutional Long Short Term Memory
Jeong Jik Lee, Jeong Hyun Heo, Ji Ho Han et al. Journal of Medical and Biological Engineering, 2020. Cites: paper

Deep Attention Point Processes with Neural Spectrum Fourier Kernel
Shixiang Zhu, Minghe Zhang, Ruyi Ding et al. arXiv (Cornell University), 2020. Cites: paper

Deep Attention Spatio-Temporal Point Processes.
Shixiang Zhu, Minghe Zhang, Ruyi Ding et al. arXiv (Cornell University), 2020. Cites: paper

AKI Prediction Models in ICU: A Comparative Study (Preprint)
Qing Qian, Haixia Sun, Jinming Wu et al. 2020. Cites: paper

Learning Latent Space Representations to Predict Patient Outcomes: Model Development and Validation
Subendhu Rongali, Adam J. Rose, David D. McManus et al. Journal of Medical Internet Research, 2020. Cites: paper

The CLASSE GATOR (CLinical Acronym SenSE disambiGuATOR): A Method for predicting acronym sense from neonatal clinical notes
Aditya Kashyap, Heather H. Burris, Chris Callison-Burch et al. International Journal of Medical Informatics, 2020. Cites: paper

Deep Transfer Learning for Physiological Signals.
Hugh Chen, Scott Lundberg, Gabriel Erion et al. arXiv (Cornell University), 2020. Cites: paper

Machine learning in infection management using routine electronic health records: tools, techniques, and reporting of future technologies
Christian F. Luz, Marcus Vollmer, Johan M. A. Decruyenaere et al. Clinical Microbiology and Infection, 2020. Cites: paper

Preserving differential privacy in deep neural networks with relevance-based adaptive noise imposition
Maoguo Gong, Ke Pan, Yu Xie et al. Neural Networks, 2020. Cites: paper

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