Cited by
MIMIC-II Clinical Database (v2.6.0)
1148 publications cite any version of this project or its primary paper, newest first.
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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 -
Expert-augmented machine learning
Efstathios D. Gennatas, Jerome H. Friedman, Lyle Ungar et al. Proceedings of the National Academy of Sciences, 2020. Cites: paper -
Proton Pump Inhibitor Use Before ICU Admission Is Not Associated With Mortality of Critically Ill Patients
Lin Shi, Dan Zhang. The Journal of Clinical Pharmacology, 2020. Cites: paper -
A classification model for prediction of clinical severity level using qSOFA medical score
Diana Olivia, Ashalatha Nayak, Mamatha Balachandra et al. Information Discovery and Delivery, 2020. Cites: paper -
On-Device Integrated PPG Quality Assessment and Sensor Disconnection/Saturation Detection System for IoT Health Monitoring
Gangireddy Narendra Kumar Reddy, M. Sabarimalai Manikandan, Neti V. L. Narasimha Murty. IEEE Transactions on Instrumentation and Measurement, 2020. Cites: paper -
Brief introduction of medical database and data mining technology in big data era
Jin Yang, Yuanjie Li, Qingqing Liu et al. Journal of Evidence-Based Medicine, 2020. Cites: paper -
Early prediction of ICU readmissions using classification algorithms
Melina Silva de Loreto, Thiago Costa Lisboa, Viviane P. Moreira. Computers in Biology and Medicine, 2020. Cites: paper -
Privacy-preserving biomedical database queries with optimal privacy-utility trade-offs
Hyunghoon Cho, Sean Simmons, Ryan Kim et al. bioRxiv (Cold Spring Harbor Laboratory), 2020. Cites: paper -
Nonlinear Dynamic Modeling of Blood Pressure Waveform: Towards an Accurate Cuffless Monitoring System
Cederick Landry, Sean D. Peterson, Arash Arami. IEEE Sensors Journal, 2020. Cites: paper -
PIC, a paediatric-specific intensive care database
Xian Liang Zeng, Gang Yu, Lu Yang et al. Scientific Data, 2020. Cites: paper -
A Predictive Model for Acute Respiratory Distress Syndrome Mortality Using Red Cell Distribution Width
Ala L. Alkhatib, Lori Lyn Price, Rania Esteitie et al. Critical Care Research and Practice, 2020. Cites: paper -
A Deep Learning H2O Framework for Emergency Prediction in Biomedical Big Data
Ahmed Saad Elsayad, Ali I. El Desouky, Mofreh Mohamed Salem et al. IEEE Access, 2020. Cites: paper -
An Automated Algorithm for Estimating Respiration Rate from PPG Signals
Kinjarapu Manojkumar, Srinivas Boppu, M. Sabarimalai Manikandan. Communications in computer and information science, 2020. Cites: paper -
A Novel Approach for Modelling the Relationship between Blood Pressure and ECG by using Time-series Feature Extraction
Stefan Kochev, Neven Stevchev, Svetlana A. Kocheva et al. International Joint Conference on Biomedical Engineering Systems and Technologies (BIOSTEC), 2020. Cites: paper -
Application of Machine Learning and Word Embeddings in the Classification of Cancer Diagnosis Using Patient Anamnesis
Andrés Ramos Magna, Héctor Allende‐Cid, Carla Taramasco et al. IEEE Access, 2020. Cites: paper -
Clinical Concept Linking with Contextualized Neural Representations
Elliot Schumacher, Andriy Mulyar, Mark H. Dredze. Annual Meeting of the Association for Computational Linguistics (ACL), 2020. Cites: paper -
Continuous Non-Invasive Blood Pressure Monitoring: A Methodological Review on Measurement Techniques
Tai Le, Floranne Ellington, Tao-Yi Lee et al. IEEE Access, 2020. Cites: paper -
Do Hyponatremia or Its Underlying Mechanisms Associate With Mortality Risk in Observational Data?
John Danziger, Joon Lee, Roger G. Mark et al. Critical Care Explorations, 2020. Cites: paper -
LEVERAGING TEMPORAL SUBSEQUENCES FOR TIME-SERIES CLASSIFICATION
Shoumik Roychoudhury. TUScholarShare (Temple University), 2020. Cites: paper -
Optimization Frameworks for Fair Data-Driven Decision Making
Mahbod Olfat. eScholarship (California Digital Library), 2020. Cites: paper -
Prediction of Chronic Diseases With Multi-Label Neural Network
Ruiquan Ge, Renfeng Zhang, Pu Wang. IEEE Access, 2020. Cites: paper -
Stages-Based ECG Signal Analysis From Traditional Signal Processing to Machine Learning Approaches: A Survey
Muhammad Wasimuddin, Khaled M. Elleithy, Abdelshakour Abuzneid et al. IEEE Access, 2020. Cites: paper -
Synthesizing Quality Open Data Assets from Private Health Research Studies
Andrew Yale, Saloni Dash, Karan Bhanot et al. Lecture notes in business information processing, 2020. Cites: paper -
Improving Patient Cohort Identification using Neural Word Embedding with Structured Analysis
Md. Jahidul Islam, Julia Rahman, Md Khaled Ben Islam. International Conference on Electrical, Computer & Telecommunication Engineering (ICECTE), 2019. Cites: paper -
Are the Interpulse Intervals of an ECG signal a good source of entropy? An in-depth entropy analysis based on NIST 800-90B recommendation
Lara Ortiz‐Martin, Pablo Picazo‐Sanchez, Pedro Peris Lopez. Future Generation Computer Systems, 2019. Cites: paper -
Boosting ICD multi-label classification of health records with contextual embeddings and label-granularity
Alberto Blanco, Olatz Perez-de-Viñaspre, Alicia Pérez et al. Computer Methods and Programs in Biomedicine, 2019. Cites: paper -
Feature Engineering Combined with 1 D Convolutional Neural Network for Improved Mortality Prediction
Saumil Maheshwari, Rohit Verma, Anupam Shukla et al. arXiv (Cornell University), 2019. Cites: paper -
Blind, Cuff-less, Calibration-Free and Continuous Blood Pressure Estimation using Optimized Inductive Group Method of Data Handling
Mohammad Reza Mohebbian, Anh Dinh, Khan A. Wahid et al. Biomedical Signal Processing and Control, 2019. Cites: paper -
SECNLP: A survey of embeddings in clinical natural language processing
Katikapalli Subramanyam Kalyan, S. Sangeetha. Journal of Biomedical Informatics, 2019. Cites: paper -
Élaboration et validation d'une base de données haute résolution destinée à la calibration d'un patient virtuel utilisable pour l'enseignement et la prise en charge personnalisée des patients en réanimation pédiatrique
David Brossier. 2019. Cites: paper -
Learning unsupervised contextual representations for medical synonym discovery
Elliot Schumacher, Mark H. Dredze. JAMIA Open, 2019. Cites: paper -
Data-driven Discovery of a Sepsis Patients Severity Prediction in the ICU via Pre-training BiLSTM Networks
Qing Li, Lei Frank Huang, Jiang Zhong et al. IEEE International Conference on Bioinformatics and Biomedicine (BIBM), 2019. Cites: paper -
Information Technology in Critical Care
Michael A. De Georgia, Farhad Kaffashi, Frank J. Jacono et al. Springer eBooks, 2019. Cites: paper -
Multiple Physiological Signals Fusion Techniques for Improving Heartbeat Detection: A Review
Javier Tejedor, Constantino Antonio García Martínez, David G. Márquez et al. Sensors, 2019. Cites: paper -
[Construction of multi-parameter emergency database and preliminary application research].
Junmei Wang, Tongbo Liu, Yuyao Sun et al. PubMed Central, 2019. Cites: paper -
LiSep LSTM: A Machine Learning Algorithm for Early Detection of Septic Shock
Josef Fagerström, Magnus Bång, Daniel Wilhelms et al. Scientific Reports, 2019. Cites: paper -
A Cascaded Convolutional Neural Network for Assessing Signal Quality of Dynamic ECG
Qifei Zhang, Lingjian Fu, Gu Linyue. Computational and Mathematical Methods in Medicine, 2019. Cites: paper -
The Univariate Flagging Algorithm (UFA): An interpretable approach for predictive modeling
Mallory Sheth, Albert Gerovitch, Roy E. Welsch et al. PLoS ONE, 2019. Cites: paper -
Smart "health of things"
Oton Crispim Braga, Francisco Milton Mendes Neto, Antonio M. B. Oliveira et al. Brazilian Symposium on Multimedia and the Web, 2019. Cites: paper -
A Robust Neural Network-Based Method to Estimate Arterial Blood Pressure Using Photoplethysmography
Buddhishan Manamperi, Charith D. Chitraranjan. IEEE International Conference on Bioinformatics and Bioengineering (BIBE), 2019. Cites: paper -
Constructing a Comprehensive Clinical Database Integrating Patients' Data from Intensive Care Units and General Wards
Tongbo Liu, Xiaoli Liu, Yong Fan et al. International Congress on Image and Signal Processing (CISP), 2019. Cites: paper -
Joint Exploitation of Hemodynamic and Electrocardiographic Signals by Hidden Markov Models for Heartbeat Detection
Nelson F. Monroy, Miguel Altuve. World Congress on Medical Physics and Biomedical Engineering, September 7 - 12, 2009, Munich, Germany, 2019. Cites: paper -
Preoperative Blood Pressure Complexity Indices as a Marker for Frailty in Patients Undergoing Cardiac Surgery
Valluvan Rangasamy, Teresa S. Henriques, Xinling Xu et al. Journal of Cardiothoracic and Vascular Anesthesia, 2019. Cites: paper -
Nocturnal Mean Arterial Pressure Rising Is Associated With Mortality in the Intensive Care Unit: A Retrospective Cohort Study
Jiamei Li, Ruohan Li, Ya Gao et al. Journal of the American Heart Association, 2019. Cites: paper -
Cohort selection for clinical trials: n2c2 2018 shared task track 1
Amber Stubbs, Michele Filannino, Ergin Soysal et al. Journal of the American Medical Informatics Association, 2019. Cites: paper -
Leveraging implicit expert knowledge for non-circular machine learning in sepsis prediction
Shigehiko Schamoni, Holger A. Lindner, Verena Schneider-Lindner et al. Artificial Intelligence in Medicine, 2019. Cites: paper -
Feature Engineering for ICU Mortality Prediction Based on Hourly to Bi-Hourly Measurements
Ahmed Youssef Ali Amer, Julie Vranken, Femke Wouters et al. Applied Sciences, 2019. Cites: paper -
A nomogram for predicting the risk of sepsis in patients with acute cholangitis
Qingqing Liu, Quan Zhou, Meina Song et al. Journal of International Medical Research, 2019. Cites: paper -
Predicting sepsis with a recurrent neural network using the MIMIC III database
Matthieu Scherpf, Felix Gräßer, Hagen Malberg et al. Computers in Biology and Medicine, 2019. Cites: paper -
Changes in nonlinear dynamic complexity measures of blood pressure during anesthesia for cardiac surgeries using cardio pulmonary bypass
Valluvan Rangasamy, Teresa S. Henriques, Pooja A. Mathur et al. Journal of Clinical Monitoring and Computing, 2019. Cites: paper
Citation data from OpenAlex, updated weekly. Papers that use the project without citing it may be missing.