Publications citing MIMIC-II Clinical Database v2.6.0

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

HydaLearn: Highly Dynamic Task Weighting for Multi-task Learning with Auxiliary Tasks
Sam Verboven, Muhammad Hafeez Chaudhary, Jeroen Berrevoets et al. arXiv (Cornell University), 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

Ontology-driven weak supervision for clinical entity classification in electronic health records.
Jason Fries, Ethan Steinberg, Saelig Khattar et al. PubMed, 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

Dynamic predict in-hospital mortality risk in intensive care unit with a new deep learning of artificial intelligence
Yuwen Chen, Yujie Li, Zhiyong Yang et al. Research Square, 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. 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. 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

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

PPG2ABP: Translating Photoplethysmogram (PPG) Signals to Arterial Blood Pressure (ABP) Waveforms using Fully Convolutional Neural Networks
Nabil Ibtehaz, Mahmud, Sakib, Chowdhury, Muhammad E. H. et al. arXiv (Cornell University), 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 Central, 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

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

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