Publications citing MIMIC-III Clinical Database Demo v1.4

Preliminary exploration of topic modelling representations for Electronic Health Records coding according to the International Classification of Diseases in Spanish
Nuria Lebeña, Alberto Blanco, Alicia Pérez et al. Expert Systems with Applications, 2022. Cites: paper

Avaliação de Desempenho do Blockchain Hyperledger Fabric com Dados Médicos Heterogêneos
Ana Caroline Fernandes Spengler. 2022. Cites: paper

Modern Learning from Big Data in Critical Care: Primum Non Nocere
Benjamin Yaël Gravesteijn, Ewout Willem Steyerberg, Hester Floor Lingsma. Neurocritical Care, 2022. Cites: paper

Novel methods of predicting ionized calcium status from routine data in critical care: External validation in MIMIC-III
Ernie Yap, Jie Ouyang, Isha Puri et al. Clinica Chimica Acta, 2022. Cites: paper

The Role of Explainability in Assuring Safety of Machine Learning in Healthcare
Yan Jia, John A. McDermid, Tom Lawton et al. IEEE Transactions on Emerging Topics in Computing, 2022. Cites: paper

A Decision-Making System with Reject Option for Atrial Fibrillation Prediction Without ECG Signals
M. Mroueh, Daniel Alshamaa, Farah Mourad-Chehade et al. IRBM, 2022. Cites: paper

Elevated Blood Urea Nitrogen to Serum Albumin Ratio Is an Adverse Prognostic Predictor for Patients Undergoing Cardiac Surgery
Ye Liu, Haoming Shi, Xiaowen Wang et al. Frontiers in Cardiovascular Medicine, 2022. Cites: paper

Establishing best practices in photoplethysmography signal acquisition and processing
Peter H Charlton, Kristjan Pilt, P. A. Kyriacou. Physiological Measurement, 2022. Cites: paper

Predicting the Severity of COVID-19 Respiratory Illness with Deep Learning
Connor Shorten, Taghi M. Khoshgoftaar, Javad Hashemi et al. Proceedings of the ... International Florida Artificial Intelligence Research Society Conference, 2022. Cites: paper

Dynamic Bayesian network for predicting physiological changes, organ dysfunctions and mortality risk in critical trauma patients
Qi Chen, Bihan Tang, Jiaqi Song et al. BMC Medical Informatics and Decision Making, 2022. Cites: paper

Dynamic Sepsis Prediction for Intensive Care Unit Patients Using XGBoost-Based Model With Novel Time-Dependent Features
Shuhui Liu, Bo Fu, Wen Wang et al. IEEE Journal of Biomedical and Health Informatics, 2022. Cites: paper

Machine Learning Methods for Predicting Long-Term Mortality in Patients After Cardiac Surgery
Yue Shuang Yu, Chi Peng, Zhiyuan Zhang et al. Frontiers in Cardiovascular Medicine, 2022. Cites: paper

MatSciBERT: A materials domain language model for text mining and information extraction
Tanishq Gupta, Mohd Faiz Mohammad Zaki, N. M. Anoop Krishnan et al. npj Computational Materials, 2022. Cites: paper

Natural Language Processing as a Predictor of Mortality in Intensive Care Unit Patients
Mario V. Fusaro, Christian D. Becker, Daniel Miller et al. Research Square, 2022. Cites: paper

Prediction of unplanned 30-day readmission for ICU patients with heart failure
Maryam Pishgar, Julian Theis, M Del Rios et al. BMC Medical Informatics and Decision Making, 2022. Cites: paper

A Federated Approach for Learning from Electronic Health Records
Sadaf Md Halim, Latifur R. Khan, Kevin W. Hamlen et al. IEEE International Conference on Big Data Security on Cloud, IEEE International Conference on High Performance and Smart Computing, and IEEE International Conference on Intelligent Data and Security (BigDataSecurity/HPSC/IDS), 2022. Cites: paper

Artificial Intelligence and Machine Learning for Safe Medicines
Andrew Bate, Yuan Luo. Drug Safety, 2022. Cites: paper

Death by Round Numbers: Glass-Box Machine Learning Uncovers Biases in Medical Practice
Benjamin J. Lengerich, Rich Caruana, Mark Nunnally et al. medRxiv, 2022. Cites: paper

Developing and validating a prediction model for in-hospital mortality in patients with ventilator-associated pneumonia in the ICU
Xiang Han, Weiqin Wu, Hongmei Zhao et al. Annals of Palliative Medicine, 2022. Cites: paper

Development and validation of a machine-learning model for prediction of hypoxemia after extubation in intensive care units
Ming Xia, Chenyu Jin, Shuang Cao et al. Annals of Translational Medicine, 2022. Cites: paper

ELDA: Learning Explicit Dual-Interactions for Healthcare Analytics
Qingpeng Cai, Kaiping Zheng, Beng Chin Ooi et al. IEEE International Conference on Data Engineering (ICDE), 2022. Cites: paper

Human-centered explainability for life sciences, healthcare, and medical informatics
Sanjoy Dey, Prithwish Chakraborty, Bum Chul Kwon et al. Patterns, 2022. Cites: paper

Multimorbidity profiles and stochastic block modeling improve ICU patient clustering
Valerio Restocchi, Jorge Gaete-Villegas, Jacques Fleuriot. IEEE/ACM International Symposium on Cluster, Cloud and Grid Computing (CCGrid), 2022. Cites: paper

Provenance-aware Discovery of Functional Dependencies on Integrated Views
Ugo Comignani, Laure Berti‐Équille, Noël Novelli et al. IEEE International Conference on Data Engineering (ICDE), 2022. Cites: paper

The burden associated with, and management of, difficult-to-treat depression in patients under specialist psychiatric care in the United Kingdom
Tiago Costa, Bayar Menzat, Tomas Engelthaler et al. Journal of Psychopharmacology, 2022. Cites: paper

The Relevance of Calibration in Machine Learning-Based Hypertension Risk Assessment Combining Photoplethysmography and Electrocardiography
Jesús Cano, Lorenzo Fácila, Juan Manuel Gracia-Baena et al. Biosensors, 2022. Cites: paper

Systolic blood pressure measurement algorithm with mmWave radar sensor
JingYao Shi, Kang Yoon Lee. KSII Transactions on Internet and Information Systems, 2022. Cites: paper

Transfer Learning Improving Predictive Mortality Models for Patients in End-Stage Renal Disease
Edwar Macias, José López Vicario, Javier Serrano et al. Electronics, 2022. Cites: paper

Association Between Iron Metabolism and Acute Kidney Injury in Critically Ill Patients With Diabetes
Man-Qiu Mo, Yunqing Gao, Ling Deng et al. Frontiers in Endocrinology, 2022. Cites: paper

Improving Cuff-Less Continuous Blood Pressure Estimation with Linear Regression Analysis
Valeria Figini, Sofia Galici, Daniele Russo et al. Electronics, 2022. Cites: paper

Improving medical term embeddings using UMLS Metathesaurus
Ashis Kumar Chanda, Tian Bai, Ziyu Yang et al. BMC Medical Informatics and Decision Making, 2022. Cites: paper

Red cell distribution in critically ill patients with chronic obstructive pulmonary disease
W. Lan, E. Liu, D. Sun et al. Pulmonology, 2022. Cites: paper

The Relationship Between Short-Term Mean Arterial Pressure Variability and Mortality in Critically Ill Patients
Chenwei Hou, Xin Wang, Yakun Li et al. Frontiers in Cardiovascular Medicine, 2022. Cites: dataset, paper

Exploring deep learning methods for recognizing rare diseases and their clinical manifestations from texts
Isabel Segura-Bédmar, David Camino-Perdones, Sara Guerrero‐Aspizua. Research Square, 2022. Cites: paper

Applying Differential Privacy to Tensor Completion
Wei Zheng, Zhengpin Li, Xiaojun Mao et al. IEEE International Conference on Acoustics Speech and Signal Processing, 2022. Cites: paper

Bayesian Continual Imputation and Prediction For Irregularly Sampled Time Series Data
Yang Guo, Jeanette Wen Jun Poh, Cheryl Sze Yin Wong et al. IEEE International Conference on Acoustics Speech and Signal Processing, 2022. Cites: paper

Mismatched Supervised Learning
Xun Xian, Mingyi Hong, Jie Ding. IEEE International Conference on Acoustics Speech and Signal Processing, 2022. Cites: paper

Multi-View Learning Based on Non-Redundant Fusion for Icu Patient Mortality Prediction
Yifan Wang, Ying Wu Lan. IEEE International Conference on Acoustics Speech and Signal Processing, 2022. Cites: paper

Applications of natural language processing in radiology: A systematic review
Nathaniel B. Linna, Charles E. Kahn. International Journal of Medical Informatics, 2022. Cites: paper

Attention-based clinical note summarization
Neel Kanwal, Giuseppe Francesco Rizzo. ACM Symposium on Applied Computing, 2022. Cites: paper

Conditional Generation Net for Medication Recommendation
Rui Mei Wu, Zhaopeng Qiu, Jiacheng Jiang et al. International World Wide Web Conference (WWW), 2022. Cites: paper

Relationship Between Initial Urine Output and Mortality in Patients Hospitalized in Cardiovascular Intensive Care Units: More Is Not Better
Le Li, Zhenhao Zhang, Yulong Xiong et al. Frontiers in Cardiovascular Medicine, 2022. Cites: paper

Robust Reconstruction of Electrocardiogram Using Photoplethysmography: A Subject-Based Model
Qunfeng Tang, Zhencheng Chen, Yanke Guo et al. Frontiers in Physiology, 2022. Cites: paper

Learning to predict in-hospital mortality risk in the intensive care unit with attention-based temporal convolution network
Yuwen Chen, Yujie Li, Peng Deng et al. BMC Anesthesiology, 2022. Cites: paper

ISeeU2: Visually interpretable mortality prediction inside the ICU using deep learning and free-text medical notes
William Caicedo-Torres, Jairo Gutiérrez. Expert Systems with Applications, 2022. Cites: paper

Machine learning and health need better values
Marzyeh Ghassemi, Shakir Mohamed. npj Digital Medicine, 2022. Cites: paper

Time Series Prediction Using Deep Learning Methods in Healthcare
Mohammad Amin Morid, Olivia R. Liu Sheng, Joseph Dunbar. ACM Transactions on Management Information Systems, 2022. Cites: paper

A time-incorporated SOFA score-based machine learning model for predicting mortality in critically ill patients: A multicenter, real-world study
Yang Liu, Kun Gao, Hongbin Deng et al. International Journal of Medical Informatics, 2022. Cites: paper

Interpretable Bias Mitigation for Textual Data: Reducing Genderization in Patient Notes While Maintaining Classification Performance
Joshua R. Minot, Nicholas Cheney, Marc E. Maier et al. ACM Transactions on Computing for Healthcare, 2022. Cites: paper

Modeling Mechanical Ventilation In Silico—Potential and Pitfalls
David M. Hannon, Sonal Mistry, Anup Das et al. Seminars in Respiratory and Critical Care Medicine, 2022. Cites: paper

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