Publications citing MIMIC-II Clinical Database v2.6.0

Patient Monitoring Systems
Vitaly Herasevich, Brian W. Pickering, Terry P. Clemmer et al. Springer eBooks, 2021. Cites: paper

Photoplethysmography-Based Blood Pressure Estimation Combining Filter-Wrapper Collaborated Feature Selection With LASSO-LSTM Model
Dingliang Wang, Xuezhi Yang, Xuenan Liu et al. IEEE Transactions on Instrumentation and Measurement, 2021. Cites: paper

[Retracted] Featureless Blood Pressure Estimation Based on Photoplethysmography Signal Using CNN and BiLSTM for IoT Devices
Yung‐Hui Li, Latifa Nabila Harfiya, Ching‐Chun Chang. Wireless Communications and Mobile Computing, 2021. Cites: paper

The Tools and Resources for Clinical Text Processing
Ulfeta Marovac, Aldina Avdić. International Scientific Conference Sinteza, 2021. Cites: paper

Time Line Correlative Spectral Processing for Stratification of Blood Pressure using Adaptive Signal Conditioning
Santosh Shinde, P. Rajarajeswari. International Journal of Advanced Computer Science and Applications, 2021. Cites: paper

Towards BERT-based Automatic ICD Coding: Limitations and Opportunities
Damián Pascual, Sandro Luck, Roger P. Wattenhofer. Workshop on Biomedical Language Processing (BioNLP), 2021. Cites: paper

A novel nomogram for predicting survival in patients with severe acute pancreatitis: an analysis based on the large MIMIC-III clinical database
Di di Han, Shuo Feng Xu, Zhuo Cheng Li et al. 2020. Cites: paper

Machine learning as a tool for diagnostic and prognostic research in coronary artery disease
B. I. Geltser, M. M. Tsivanyuk, Karina I. Shakhgeldyan et al. Russian Journal of Cardiology, 2020. Cites: paper

Vital-Sign Synchrony as a Marker for Patient Circadian Rhythms in an Intensive Care Unit
Shaun M. Davidson, Mauricio Villarroel, Eoin Finnegan et al. Computing in cardiology, 2020. Cites: paper

A Novel and Reliable Framework of Patient Deterioration Prediction in Intensive Care Unit Based on Long Short-Term Memory-Recurrent Neural Network
Tariq Ibrahim Al-Shwaheen, Yuan Wen Hau, Nizar Ass'Ad et al. IEEE Access, 2020. Cites: paper

CMIID: A comprehensive medical information identifier for clinical search harmonization in Data Safe Havens
Michael A.P. Domingues, Rui Carlos Camacho, Pedro Pereira Rodrigues. Journal of Biomedical Informatics, 2020. Cites: paper

Flexible Regularization Approaches for Fairness in Deep Learning
Matt Olfat, Yonatan Dov Mintz. IEEE Conference on Decision and Control (CDC), 2020. Cites: paper

Robust T-End Detection via T-End Signal Quality Index and Optimal Shrinkage
Pei-Chun Su, Elsayed Z. Soliman, Hau‐Tieng Wu. Sensors, 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

Clinician involvement in research on machine learning–based predictive clinical decision support for the hospital setting: A scoping review
Jessica Schwartz, Amanda J Moy, Sarah Collins Rossetti et al. Journal of the American Medical Informatics Association, 2020. Cites: paper

Towards better heartbeat segmentation with deep learning classification
Pedro Silva, Eduardo Jose da Silva Luz, Guilherme Silva et al. Scientific Reports, 2020. Cites: paper

Feature engineering combined with 1-D convolutional neural network for improved mortality prediction
Rohit Verma, Saumil Maheshwari, Anupam Shukla. Bio-Algorithms and Med-Systems, 2020. Cites: paper

Vital Signs Prediction and Early Warning Score Calculation Based on Continuous Monitoring of Hospitalised Patients Using Wearable Technology
Ahmed Youssef Ali Amer, Femke Wouters, Julie Vranken et al. Sensors, 2020. Cites: paper

A Robust Beat-to-Beat Artifact Detection Algorithm for Pulse Wave
Qihan Hu, Xintao Deng, Xin Liu et al. Mathematical Problems in Engineering, 2020. Cites: paper

Mosaic Privacy-Preserving Mechanisms for Healthcare Analytics
Alexander Krall, Daniel A. Finke, Hui Yong Yang. IEEE Journal of Biomedical and Health Informatics, 2020. Cites: paper

The quest for raw signals
Florian Wolling, Kristof Van Laerhoven. Workshop on Data: Acquisition To Analysis (DATA), 2020. Cites: paper

Multimodal Early Septic Shock Prediction Model using Lasso Regression with Decaying Response
Ibrahim Hammoud, I. V. Ramakrishnan, Mark C. Henry et al. IEEE International Conference on Healthcare Informatics (ICHI), 2020. Cites: paper

Non-contact vital-sign monitoring of patients undergoing haemodialysis treatment
Mauricio Villarroel, João Jorge, David Meredith et al. Scientific Reports, 2020. Cites: paper

Smart Predictive Healthcare Framework for Remote Patient Monitoring and Recommendation Using Deep Learning with Novel Cost Optimization
Anand Motwani, Piyush Kumar Shukla, Mahesh Kumar Pawar. Smart innovation, systems and technologies, 2020. Cites: paper

A data fusion algorithm for clinically relevant anomaly detection in remote health monitoring
Hugo de Mello Dantas, Claudio M. de Farias. International Symposium on Networks, Computers and Communications (ISNCC), 2020. Cites: paper

Multi-Model Data Query Languages and Processing Paradigms
Qingsong Guo, Jiaheng Lu, Chao Zhang et al. ACM International Conference on Information and Knowledge Management (CIKM), 2020. Cites: paper

Cluster-Boosted Multi-Task Learning Framework for Survival Analysis
Lu Wang, Mark Chignell, Haoyan Jiang et al. IEEE International Conference on Bioinformatics and Bioengineering (BIBE), 2020. Cites: paper

Discovering Similarity Across Heterogeneous Features
Vandana Pursnani Janeja, Josephine Namayanja, Yelena Yesha et al. International Journal of Data Warehousing and Mining, 2020. Cites: paper

Machine Learning for Sensor Data Processing in Biomedical Applications
Mani Rezaeirad. UPCommons institutional repository (Universitat Politècnica de Catalunya), 2020. Cites: paper

Towards accurate estimation of cuffless and continuous blood pressure using multi-order derivative and multivariate photoplethysmogram features
Wan-Hua Lin, Fei Chen, Yanjuan Geng et al. Biomedical Signal Processing and Control, 2020. Cites: paper

Real-time sepsis severity prediction on knowledge graph deep learning networks for the intensive care unit
Qing Li, Lili Li, Jiang Zhong et al. Journal of Visual Communication and Image Representation, 2020. Cites: paper

Survey on RNN and CRF models for de-identification of medical free text
Joffrey L. Leevy, Taghi M. Khoshgoftaar, Flavio Villanustre. Journal Of Big Data, 2020. Cites: paper

A Novel Non-Invasive Estimation of Arterial Blood Pressure from Electrocardiography and Photoplethysmography Signals using Machine Learning
Lorena Pradenas. Biomedical Journal of Scientific & Technical Research, 2020. Cites: paper

Learning to Predict in-hospital mortality risk in intensive care unit with attention-based Temporal convolution network
Yuwen Chen, Yujie Li, Zhiyong Yang et al. Research Square, 2020. Cites: paper

Automated labeling of terms in medical reports in Serbian
Aldina Avdić, Ulfeta Marovac, Dragan S. Jankovic. TURKISH JOURNAL OF ELECTRICAL ENGINEERING & COMPUTER SCIENCES, 2020. Cites: paper

Implementation of a Cohort Retrieval System for Clinical Data Repositories Using the Observational Medical Outcomes Partnership Common Data Model: Proof-of-Concept System Validation
Sijia Liu, Yanshan Wang, Andrew Wen et al. JMIR Medical Informatics, 2020. Cites: paper

The Future AI in Healthcare: A Tsunami of False Alarms or a Product of Experts?
Gari D. Clifford. arXiv (Cornell University), 2020. Cites: paper

A Hybrid CNN-LSTM Architecture for Detection of Coronary Artery Disease from ECG
Rohan Banerjee, Avik Ghose, Kayapanda Muthana Mandana. International Joint Conference on Neural Networks (IJCNN), 2020. Cites: paper

A Probabilistic Beat-to-Beat Filtering Model for Continuous and Accurate Blood Pressure Estimation
Zehua Chen, Bruno Scalzo Dees, Danilo P. Mandic. International Joint Conference on Neural Networks (IJCNN), 2020. Cites: paper

Fusion of Bottleneck Features Derived from CNNs to Enhance the Performance of Multi-Parameter Patient Monitors
Pooja Muralidharan, C. Santhosh Kumar. International Conference on Inventive Research in Computing Applications (ICIRCA), 2020. Cites: paper

Modelos de aprendizaje automático para el apoyo en la clasificación de tipos de cáncer a partir de datos estructurados y no estructurados de expedientes clínicos
Erick E. Montelongo-Gonzalez. Repositorio Institucional Zaloamati (Universidad Autónoma Metropolitana), 2020. Cites: paper

Parameter Estimation of Hemodynamic Cardiovascular Model for Synthesis of Photoplethysmogram Signal
Dibyendu Roy, Oishee Mazumder, Kingshuk Chakravarty et al. Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC), 2020. Cites: paper

Empirical Exploration of the Challenges in Temporal Relation Extraction from Clinical Text
Diana Galván-Sosa, Koji Matsuda, Naoaki Okazaki et al. Journal of Natural Language Processing, 2020. Cites: paper

Robust PPG motion artifact detection using a 1-D convolution neural network
Choon‐Hian Goh, Li Kuo Tan, Nigel Hamilton Lovell et al. Computer Methods and Programs in Biomedicine, 2020. Cites: paper

Ambulatory and Popular Sensor Measurements
Saeid Sanei, Delaram Jarchi, Anthony George Constantinides. Wiley eBooks, 2020. Cites: paper

Photoplethysmography based stratification of blood pressure using multi information fusion artificial neural network
Dingliang Wang, Xuezhi Yang, Xuenan Liu et al. IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW), 2020. Cites: paper

Hospital Admission Location Prediction via Deep Interpretable Networks for the Year-Round Improvement of Emergency Patient Care
Rasheed El-Bouri, David W. Eyre, Peter Watkinson et al. IEEE Journal of Biomedical and Health Informatics, 2020. Cites: paper

A bibliometric analysis and visualization of medical data mining research
Yuanzhang Hu, Zeyun Yu, Xiaoen Cheng et al. Medicine, 2020. Cites: paper

IPDS: A semantic mediator‐based system using Spark for the integration of heterogeneous proteomics data sources
Chaimaa Messaoudi, Rachida Fissoune, Hassan Badir. Concurrency and Computation Practice and Experience, 2020. Cites: paper

Reinforcement Learning for Clinical Decision Support in Critical Care: Comprehensive Review
Siqi Liu, Kay Choong See, Kee Yuan Ngiam et al. Journal of Medical Internet Research, 2020. Cites: paper

Cited by