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

Pneumonia Outcome Prediction Using Structured And Unstructured Data From EHR
Chérubin Mugisha, Incheon Paik. IEEE International Conference on Bioinformatics and Biomedicine (BIBM), 2020. Cites: paper

Predicting Prescriptions via DSCA-Dual Sequences with Cross Attention Network
Wu Lee, Yuliang Shi, Lin Cheng et al. IEEE International Conference on Bioinformatics and Biomedicine (BIBM), 2020. Cites: paper

SeqMed: Recommending Medication Combination with Sequence Generative Adversarial Nets
Shuai Wang. IEEE International Conference on Bioinformatics and Biomedicine (BIBM), 2020. Cites: paper

TAGNet: Temporal Aware Graph Convolution Network for Clinical Information Extraction
Shuai Wang, Junfei Liu. IEEE International Conference on Bioinformatics and Biomedicine (BIBM), 2020. Cites: paper

Transatlantic transferability of a new reinforcement learning model for optimizing haemodynamic treatment for critically ill patients with sepsis
Luca F. Roggeveen, Ali el Hassouni, Jonas Ahrendt et al. Artificial Intelligence in Medicine, 2020. Cites: paper

Using Transfer Learning for Detecting Drug Mentions in Tweets
Laiba Mehnaz, Rajni Jindal. Advances in intelligent systems and computing, 2020. Cites: paper

WILDS: A Benchmark of in-the-Wild Distribution Shifts
Pang Wei Koh, Shiori Sagawa, Henrik Marklund et al. CaltechAUTHORS (California Institute of Technology), 2020. Cites: paper

MEME: Generating RNN Model Explanations via Model Extraction
Dmitry Kazhdan, Botty Dimanov, Mateja Jamnik et al. arXiv (Cornell University), 2020. Cites: paper

Association Between Base Excess and Mortality in Patients with Congestive Heart Failure
Wenqin Guo, Changnong Peng, Qiang Liu et al. ESC Heart Failure, 2020. Cites: paper

Building Deep Learning Models to Predict Mortality in ICU Patients
Huachuan Wang, Bi, Yuanfei. arXiv (Cornell University), 2020. Cites: paper

Discovering Multi-Table Functional Dependencies Without Full Join Computation
Ugo Comignani, Laure Berti‐Équille, Noël Novelli. HAL, 2020. Cites: paper

Approximate Query Processing for Big Data in Heterogeneous Databases
Manoj Muniswamaiah, Tilak Agerwala, Charles C. Tappert. IEEE International Conference on Big Data (BigData), 2020. Cites: paper

Development and Application of an Intensive Care Medical Data Set for Deep Learning
Shangping Zhao, Pan Liu, Guanxiu Tang et al. IEEE International Conference on Big Data (BigData), 2020. Cites: paper

DUGRA: Dual-Graph Representation Learning for Health Information Networks
Qifan Wang, Benjamin C. M. Fung, Patrick C. K. Hung. IEEE International Conference on Big Data (BigData), 2020. Cites: paper

Heterogeneous Similarity Graph Neural Network on Electronic Health Records
Zheng Liu, Xiaohan Li, Hao Ming Peng et al. IEEE International Conference on Big Data (BigData), 2020. Cites: paper

IFGAN: Missing Value Imputation using Feature-specific Generative Adversarial Networks
Wei Qiu, Yangsibo Huang, Quanzheng Li. IEEE International Conference on Big Data (BigData), 2020. Cites: paper

Integrating Polystore RDBMS with Common In-Memory Data
Manoj Muniswamaiah, Tilak Agerwala, Charles C. Tappert. IEEE International Conference on Big Data (BigData), 2020. Cites: paper

Predicting Clinical Deterioration in Hospitals
Laleh Jalali, Hsiu-Khuern Tang, Richard H. Goldstein et al. IEEE International Conference on Big Data (BigData), 2020. Cites: paper

Building longitudinal medication dose data using medication information extracted from clinical notes in electronic health records
Elizabeth A. McNeer, Cole Beck, Hannah L. Weeks et al. Journal of the American Medical Informatics Association, 2020. Cites: paper

Bayesian Image Reconstruction using Deep Generative Models
Razvan Valentin Marinescu, Daniel Moyer, Polina Golland. arXiv (Cornell University), 2020. Cites: paper

Comparison Analysis of Prediction Model for Respiratory Diseases
R. L. Priya, S. Vinila Jinny. Advances in computational intelligence and robotics book series, 2020. Cites: paper

Fouille de texte et extraction d'informations dans les données cliniques
Clément Dalloux. 2020. Cites: paper

Improving Clinical Document Understanding on COVID-19 Research with Spark NLP
Veysel Kocaman, David Talby. arXiv (Cornell University), 2020. Cites: paper

Using Artificial Neural Network Condensation to Facilitate Adaptation of Machine Learning in Medical Settings by Reducing Computational Burden: Model Design and Evaluation Study
Dianbo Liu, Ming Zheng, Nestor Andres Sepulveda. JMIR Formative Research, 2020. Cites: paper

Annotating social determinants of health using active learning, and characterizing determinants using neural event extraction
Kevin Lybarger, Mari Ostendorf E, Meliha Yetişgen. Journal of Biomedical Informatics, 2020. Cites: paper

A Review of Designs and Applications of Echo State Networks
Chenxi Sun, Moxian Song, Shenda Hong et al. arXiv (Cornell University), 2020. Cites: paper

An elevated liver fibrosis index FIB 4 score is associated with poor clinical outcomes in patients with sepsis: an observational cohort study
Xiaodan Zhu, Xiang Hu, Xiaoyi Qin et al. Polskie Archiwum Medycyny Wewnętrznej, 2020. Cites: paper

Continuous and automatic mortality risk prediction using vital signs in the intensive care unit: a hybrid neural network approach
Stephanie Baker, Wei Xiang, Ian Atkinson. Scientific Reports, 2020. Cites: paper

Exploring Binary Relations for Ontology Extension and Improved Adaptation to Clinical Text
Luke T. Slater, Robert Hoehndorf, Andreas Karwath et al. bioRxiv (Cold Spring Harbor Laboratory), 2020. Cites: paper

MACE2K: A Text-Mining Tool to Extract Literature-based Evidence for Variant Interpretation using Machine Learning
Samir Gupta, Shruti Rao, Trisha Miglani et al. bioRxiv (Cold Spring Harbor Laboratory), 2020. Cites: paper

Association between red blood cell distribution width and long-term mortality in acute respiratory failure patients
Wei Zhang, Yadan Wang, Jun Wang et al. Scientific Reports, 2020. Cites: paper

Prognostic nutritional index predicts acute kidney injury and mortality of patients in the coronary care unit
Yugang Hu, Quan Cao, Haolin Wang et al. Experimental and Therapeutic Medicine, 2020. Cites: paper

Use of a Dual Artificial Intelligence Platform to Detect Unreported Lung Nodules
Andrew Yen, Yitzi Pfeffer, Aviel Blumenfeld et al. Journal of Computer Assisted Tomography, 2020. Cites: paper

A2A: a platform for research in biomedical literature search
Maciej Rybinski, Sarvnaz Karimi, Vincent A. Nguyen et al. BMC Bioinformatics, 2020. Cites: paper

A Methodology for Estimating Hospital Intensive Care Unit Length of Stay Using Novel Machine Learning Tools
Roberto Williams Batista, Reinaldo Sanchez-Arias. International Conference on Machine Learning and Applications, 2020. Cites: paper

An interpretable risk prediction model for healthcare with pattern attention
Sundreen Asad Kamal, Changchang Yin, Buyue Qian et al. BMC Medical Informatics and Decision Making, 2020. Cites: paper

A Permissioned Blockchain Network for Security and Sharing of De-identified Tuberculosis Research Data in Brazil
Vinícius Lima, Filipe Andrade Bernardi, Domingos Alves et al. Methods of Information in Medicine, 2020. Cites: paper

A semantic relationship mining method among disorders, genes, and drugs from different biomedical datasets
Li Zhang, Jiamei Hu, Qianzhi Xu et al. BMC Medical Informatics and Decision Making, 2020. Cites: paper

A Short Survey of LSTM Models for De-identification of Medical Free Text
Joffrey L. Leevy, Taghi M. Khoshgoftaar. IEEE International Conference on Collaboration and Internet Computing (CIC), 2020. Cites: paper

Association Between ICU-Acquired Hypernatremia and In-Hospital Mortality: Data From the Medical Information Mart for Intensive Care III and the Electronic ICU Collaborative Research Database
Markus Harboe Olsen, Marcus Møller, Stefano Romano et al. Critical Care Explorations, 2020. Cites: paper

Association of Diabetes and Admission Blood Glucose Levels with Short-Term Outcomes in Patients with Critical Illnesses
Shan Lin, Wanmei He, Mian Zeng. Journal of Inflammation Research, 2020. Cites: paper

Development and validation of a prognostic nomogram for myocardial infarction patients in intensive care units: a retrospective cohort study
Qi Guo, Maoxiong Wu, Hongwei Li et al. BMJ Open, 2020. Cites: paper

Exploiting Text Data to Improve Critical Care Mortality Prediction
Bryan Auslander, Kalyan Moy Gupta, Michael W. Floyd et al. IEEE Globecom Workshops (GC Wkshps), 2020. Cites: paper

Hyperchloremia in critically ill patients: association with outcomes and prediction using electronic health record data
Pete Yeh, Yiheng Pan, Lazaro Nelson Sanchez-Pinto et al. BMC Medical Informatics and Decision Making, 2020. Cites: paper

Identification of Medication Tweets Using Domain-specific Pre-trained Language Models
Prakash Babu Yandrapati, R. Eswari. 2020. Cites: paper

Improving Medical NLI Using Context-Aware Domain Knowledge
Shaika Chowdhury, Philip S. Yu, Yuan Luo. Joint Conference on Lexical and Computational Semantics, 2020. Cites: paper

LifeStream: A High-performance Stream Processing Engine for Waveform Data.
Anand Jayarajan, Kimberly Hau, Andrew J. Goodwin et al. arXiv (Cornell University), 2020. Cites: paper

Maximum blood glucose levels during hospitalisation to predict mortality in patients with acute coronary syndrome: a retrospective cohort study
Jun Qian, Lijun Kuang, Lin Che et al. BMJ Open, 2020. Cites: paper

Multiple Balance Subsets Stacking for Imbalanced Healthcare Datasets
Yachao Shao, Tao Zhao, Xiaoning Wang et al. IEEE International Conference on Parallel and Distributed Systems (ICPADS), 2020. Cites: paper

Pattern-based Fall Prediction using Hospital Clinical Notes
Yashodhya V. Wijesinghe, Yue Xu, Yuefeng Li et al. IEEE/WIC/ACM International Joint Conference on Web Intelligence and Intelligent Agent Technology (WI-IAT), 2020. Cites: paper

Cited by