Cited by
MIMIC-III Waveform Database Matched Subset (v1.0)
7929 publications cite any version of this project or its primary paper, newest first.
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Automated ICD Coding Using Deep Learning
Sagar Sudhir Dhobale, Sharda Bapat. Advances in healthcare information systems and administration book series, 2021. Cites: paper -
Development of SAB model for predicting mortality in intensive care unit after aortic aneurysm surgery
Kai Huang, Runnan Shen, Senyi Peng et al. Annals of Palliative Medicine, 2021. Cites: paper -
Optimizing for Interpretability in Deep Neural Networks with Tree Regularization
Mike Wu, Sonali Parbhoo, Michael C. Hughes et al. Journal of Artificial Intelligence Research, 2021. Cites: paper -
Hypertension Risk Assessment from Photoplethysmographic Recordings Using Deep Learning Classifiers
Jesús Cano, Vicente Bertomeu‐González, Lorenzo Fácila et al. Computing in cardiology, 2021. Cites: paper -
Improved Discrimination Between Healthy and Hypertensive Individuals Combining Photoplethysmography and Electrocardiography
Jesús Cano, Fernando Hornero, Aurelio Quesada et al. Computing in cardiology, 2021. Cites: paper -
A methodology based on Trace-based clustering for patient phenotyping
Antonio Lopez-Martinez-Carrasco, José M. Juárez, Manuel Campos et al. Knowledge-Based Systems, 2021. Cites: paper -
Label distribution for multimodal machine learning
Yi Cheng Ren, Ning Xu, Miaogen Ling et al. Frontiers of Computer Science, 2021. Cites: paper -
Empirical Findings on the Role of Structured Data, Unstructured Data, and their Combination for Automatic Clinical Phenotyping.
Asher Moldwin, Dina Demner‐Fushman, Travis R. Goodwin. PubMed Central, 2021. Cites: paper -
Integration of NLP2FHIR Representation with Deep Learning Models for EHR Phenotyping: A Pilot Study on Obesity Datasets.
Sijia Liu, Yuan Luo, Daniel J. Stone et al. PubMed Central, 2021. Cites: paper -
MAgEC: Using Non-Homogeneous Ensemble Consensus for Predicting Drivers in Unexpected Mechanical Ventilation.
Stefanos Giampanis, Abhishaike Mahajan, Theodore C. Goldstein et al. PubMed Central, 2021. Cites: paper -
Pseudo-data generation for the extraction of Problems, Treatments and Tests.
Jeff Smith, Evan French, William A. Cramer et al. PubMed Central, 2021. Cites: paper -
Using Restricted Cubic Splines to Study the Trajectory of Systolic Blood Pressure in the Prognosis of Acute Myocardial Infarction
Shuai Zheng, Fengzhi Zhao, Rui Yang et al. Frontiers in Cardiovascular Medicine, 2021. Cites: paper -
Association Between Oxygen Partial Pressure Trajectories and Short-Term Outcomes in Patients With Hemorrhagic Brain Injury
Guolong Cai, Weizhe Ru, Qianghong Xu et al. Frontiers in Medicine, 2021. Cites: paper -
Electronic health records based reinforcement learning for treatment optimizing
Tianhao Li, Zhishun Wang, Wei Lü et al. Information Systems, 2021. Cites: paper -
A novel hybrid deep learning architecture for predicting acute kidney injury using patient record data and ultrasound kidney images
Sophia M. Shi. Applied Artificial Intelligence, 2021. Cites: paper -
Artificial Intelligence and Mapping a New Direction in Laboratory Medicine: A Review
Daniel S. Herman, Daniel D. Rhoads, Wade L. Schulz et al. Clinical Chemistry, 2021. Cites: paper -
Assessment of Non-Invasive Blood Pressure Prediction from PPG and rPPG Signals Using Deep Learning
Fabian Schrumpf, Patrick Frenzel, Christoph Aust et al. Sensors, 2021. Cites: paper -
A Survey on Recent Named Entity Recognition and Relationship Extraction Techniques on Clinical Texts
Priyankar Bose, Sriram Srinivasan, William C. Sleeman et al. Applied Sciences, 2021. Cites: paper -
Machine learning based early mortality prediction in the emergency department
Cong Li, Zhuo Zhang, Yazhou Ren et al. International Journal of Medical Informatics, 2021. Cites: paper -
Privacy-first health research with federated learning
Adam Sadilek, Luyang Liu, Dung T. Nguyen et al. npj Digital Medicine, 2021. Cites: paper -
Chromatin accessibility combined with enhancer clusters activation mediates heterogeneous response to dexamethasone in myeloma cells
Victor Gaborit, Jonathan Cruard, Catherine Guérin‐Charbonnel et al. bioRxiv (Cold Spring Harbor Laboratory), 2021. Cites: paper -
The Problem of Fairness in Synthetic Healthcare Data
Karan Bhanot, Miao Qi, John S. Erickson et al. Entropy, 2021. Cites: paper -
Communication Efficient Generalized Tensor Factorization for Decentralized Healthcare Networks
Jing Ma, Qiuchen Zhang, Jian Lou et al. arXiv (Cornell University), 2021. Cites: paper -
Association between serum phosphate and mortality in critically ill patients: a large retrospective cohort study
Yang Chen, Mengdi Luo, Huange Xu et al. BMJ Open, 2021. Cites: paper -
Automatic Metadata Generation for Fish Specimen Image Collections
Joel Pepper, Jane Greenberg, Yasin Bakış et al. ACM/IEEE Joint Conference on Digital Libraries, 2021. Cites: paper -
Beyond Simple Images: Human Knowledge-Guided GANs for Clinical Data Generation
Devendra Singh Dhami, Mayukh Das, Sriraam Natarajan. Principles of Knowledge Representation and Reasoning, 2021. Cites: paper -
Establishment of a prognostic model for patients with sepsis based on SOFA: a retrospective cohort study
Hui Liu, Luming Zhang, Fengshuo Xu et al. Journal of International Medical Research, 2021. Cites: paper -
Practical Guide to Natural Language Processing for Radiology
Ali Mozayan, Alexander R. Fabbri, Michelle N. Maneevese et al. Radiographics, 2021. Cites: paper -
Synthetic Differential Privacy Data Generation for Revealing Bias Modelling Risks
Matthew Wilchek, Yingjie Wang. IEEE International Symposium on Parallel and Distributed Processing with Applications (ISPA), 2021. Cites: paper -
A machine learning predictive model of in-hospital mortality in patients with sepsis complicated by anemia: a retrospective study based on the MIMIC-III database
Xiaobin Liu, Yu Zhao, Yingyi Qin et al. Research Square, 2021. Cites: paper -
A novel Vascular Leak Index identifies sepsis patients with a higher risk for in-hospital death and fluid accumulation
Jay Chandra, Miguel Ángel Armengol de la Hoz, Gwendolyn Lee et al. medRxiv, 2021. Cites: paper -
Data Pre-Processing Using Neural Processes for Modeling Personalized Vital-Sign Time-Series Data
Pulkit Sharma, Farah E. Shamout, Vinayak Abrol et al. IEEE Journal of Biomedical and Health Informatics, 2021. Cites: paper -
Recognizing blood pressure patterns in sedated critically ill patients on mechanical ventilation by spectral clustering
Shengjun Liu, Longxiang Su, Xin Liu et al. Annals of Translational Medicine, 2021. Cites: paper -
Thrombocytopenia and platelet count recovery in patients with sepsis-3: a retrospective observational study
Hui Zhou, Zhifeng Li, Hui Liang et al. Platelets, 2021. Cites: paper -
Integrating a spoken dialogue system, nursing records, and activity data collection based on smartphones
Tittaya Mairittha, Nattaya Mairittha, Sozo Inoue. Computer Methods and Programs in Biomedicine, 2021. Cites: paper -
Unified concept and assertion detection using contextual multi-task learning in a clinical decision support system
Sankaran Narayanan, Pradeep Achan, P. Venkat Rangan et al. Journal of Biomedical Informatics, 2021. Cites: paper -
Automatic Question Answering and Knowledge Discovery from Electronic Health Records
Ping Wang. VTechWorks (Virginia Tech), 2021. Cites: paper -
A Longitudinal Normative Dataset and Protocol for Speech and Language Biomarker Research
James W. Schwoebel, Joel Schwartz, Lindsay Warrenburg et al. medRxiv, 2021. Cites: paper -
Sepsis Prediction Model in the Intensive Care Unit (ICU) Using Support Vector Machine (SVM)
Zeina Rayan, Marco Alfonse, Abdel-Badeeh Mohamed Salem. Lecture notes in networks and systems, 2021. Cites: paper -
Decision letter for "A Pilot Study For Fragment Identification Using 2D NMR and Deep Learning"
Publons reviews and discussion, 2021. Cites: paper -
Deep Learning based non-invasive diabetes predictor using Photoplethysmography signals
Venkatesh Bharadwaj Srinivasan, Foroohar Foroozan. European Signal Processing Conference (EUSIPCO), 2021. Cites: paper -
The Dutch Data Warehouse, a multicenter and full-admission electronic health records database for critically ill COVID-19 patients
Lucas M. Fleuren, Tariq A. Dam, Michele Tonutti et al. Critical Care, 2021. Cites: paper -
Deep Masking Generative Network For Irregularly Sampled Multivariate Time Series
Zenghao Liu, Haoran Wang, Yudong Zhang et al. International Conference on Pattern Recognition and Artificial Intelligence (PRAI), 2021. Cites: paper -
Development and Validation of a Nomogram for the Prediction of Hospital Mortality of Patients With Encephalopathy Caused by Microbial Infection: A Retrospective Cohort Study
Lina Zhao, Yun Li, Yunying Wang et al. Frontiers in Microbiology, 2021. Cites: paper -
Qualifying Certainty in Radiology Reports through Deep Learning–Based Natural Language Processing
Feifan Liu, Peng Zhou, Steven J. Baccei et al. American Journal of Neuroradiology, 2021. Cites: paper -
Association between lactate/albumin ratio and all-cause mortality in patients with acute respiratory failure: A retrospective analysis
Yan Lu, Haoyang Guo, Xuya Chen et al. PLoS ONE, 2021. Cites: paper -
Natural language processing enabling COVID-19 predictive analytics to support data-driven patient advising and pooled testing
Stéphane M. Meystre, Paul M. Heider, Young-Jun Kim et al. Journal of the American Medical Informatics Association, 2021. Cites: paper -
Nutritional indices at admission are associated with mortality rates of patients in the intensive care unit
Yue Shao, Qiancheng Lai, Qin Duan et al. European Journal of Clinical Nutrition, 2021. Cites: paper -
Artificial intelligence explainability: the technical and ethical dimensions
John A. McDermid, Yan Jia, Zoë Porter et al. Philosophical Transactions of the Royal Society A Mathematical Physical and Engineering Sciences, 2021. Cites: paper -
Development and Validation of an Arterial Pressure-Based Cardiac Output Algorithm Using a Convolutional Neural Network: Retrospective Study Based on Prospective Registry Data
Hyun-Lim Yang, Chul-Woo Jung, Seong Mi Yang et al. JMIR Medical Informatics, 2021. Cites: paper
Citation data from OpenAlex, updated weekly. Papers that use the project without citing it may be missing.