Publications citing MIMIC-II Clinical Database v2.6.0

Validation process of a high‐resolution database in a paediatric intensive care unit—Describing the perpetual patient's validation
Audrey Mathieu, Michaël Sauthier, Philippe A. Jouvet et al. Journal of Evaluation in Clinical Practice, 2020. Cites: paper

[Comparison of four scoring systems for predicting ICU mortality in patients with sepsis].
Chang Hu, Bo Hu, Zhifeng Li et al. PubMed, 2020. Cites: paper

Multimodal Neurological Monitoring
Samson Zarbiv, Erica Fagleman, Neha Subhash Dangayach. Cambridge University Press eBooks, 2020. Cites: paper

PP-Net: A Deep Learning Framework for PPG-Based Blood Pressure and Heart Rate Estimation
Madhuri Panwar, Arvind Gautam, Dwaipayan Biswas et al. IEEE Sensors Journal, 2020. Cites: paper

Neural Additive Models: Interpretable Machine Learning with Neural Nets
Rishabh Agarwal, Melnick, Levi, Nicholas Frosst et al. arXiv (Cornell University), 2020. Cites: paper

Vital-sign circadian rhythms in patients prior to discharge from an ICU: a retrospective observational analysis of routinely recorded physiological data
Shaun M. Davidson, Mauricio Villarroel, Mirae Harford et al. Critical Care, 2020. Cites: paper

„Machine learning“ in der Anästhesiologie
Julian Sassenscheidt, Bettina Jungwirth, Jens Christian Kubitz. Der Anaesthesist, 2020. Cites: paper

Harnessing Big Data in Neurocritical Care in the Era of Precision Medicine
Ayham M. Alkhachroum, Kalijah Terilli, Murad Megjhani et al. Current Treatment Options in Neurology, 2020. Cites: paper

Prediction of an Acute Hypotensive Episode During an ICU Hospitalization With a Super Learner Machine-Learning Algorithm
Ményssa Cherifa, Alice Blet, Antoine Chambaz et al. Anesthesia & Analgesia, 2020. Cites: paper

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

A multistage deep neural network model for blood pressure estimation using photoplethysmogram signals
Jamal Esmaelpoor, Mohammad Hassan Moradi, Abdolrahim Kadkhodamohammadi. Computers in Biology and Medicine, 2020. Cites: paper

Blood Pressure Estimation From PPG Signals Using Convolutional Neural Networks And Siamese Network
Oded Schlesinger, Nitai Vigderhouse, Danny Eytan et al. IEEE International Conference on Acoustics Speech and Signal Processing, 2020. Cites: paper

Patient clustering using dynamic partitioning on correlated and uncertain biomedical data
Abdur Rahim Mohammad Forkan, Ibrahim Khalil, Heshan Kumarage. Computer Methods and Programs in Biomedicine, 2020. Cites: paper

Extraction of respiratory rate from PPG using ensemble empirical mode decomposition with Kalman filter
Hemant Kumar Sharma. Electronics Letters, 2020. Cites: paper

Learning Counterfactual Representations for Estimating Individual Dose-Response Curves
Patrick Schwab, Lorenz Linhardt, Stefan Bauer et al. Proceedings of the AAAI Conference on Artificial Intelligence, 2020. Cites: paper

1001985.pdf
MIT Critical Data. OAPEN (The OAPEN Foundation), 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

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

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

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. Proceedings of the conference - Association for Computational Linguistics. Meeting, 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

Experimental Evaluation and Development of a Silver-Standard for the MIMIC-III Clinical Coding Dataset
Thomas Searle, Zina M. Ibrahim, Richard Dobson. Workshop on Biomedical Language Processing (BioNLP), 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

Privacy-Preserving Biomedical Database Queries with Optimal Privacy-Utility Trade-Offs
Hyunghoon Cho, Sean Simmons, Ryan Kim et al. Cell Systems, 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

Forecasting intracranial hypertension using multi-scale waveform metrics
Matthias Hüser, Adrian Kündig, Walter Karlen et al. Physiological Measurement, 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

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. theses.fr (ABES), 2019. Cites: paper

Learning unsupervised contextual representations for medical synonym discovery
Elliot Schumacher, Mark H. Dredze. JAMIA Open, 2019. Cites: paper

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