Publications citing MIMIC-III Clinical Database Demo v1.4

Trustworthy assertion classification through prompting
Song Wang, Liyan Tang, Akash Majety et al. Journal of Biomedical Informatics, 2022. Cites: paper

Cloud-IIoT-Based Electronic Health Record Privacy-Preserving by CNN and Blockchain-Enabled Federated Learning
Jafar Ahmad Abed Alzubi, Omar A. Alzubi, Ashish Pratap Singh et al. IEEE Transactions on Industrial Informatics, 2022. Cites: paper

The prognostic value of admission lymphocyte-to-monocyte ratio in critically ill patients with acute myocardial infarction
Yuanyuan Zhao, Chunshu Hao, Xiangwei Bo et al. BMC Cardiovascular Disorders, 2022. Cites: paper

Combining Machine Learning with a Rule-Based Algorithm to Detect and Identify Related Entities of Documented Adverse Drug Reactions on Hospital Discharge Summaries
Hui Xing Tan, Chun Hwee Desmond Teo, Pei San Ang et al. Drug Safety, 2022. Cites: paper

Cross-Silo Federated Learning for Multi-Tier Networks with Vertical and Horizontal Data Partitioning
Anirban Das, Timothy Castiglia, Shiqiang Wang et al. ACM Transactions on Intelligent Systems and Technology, 2022. Cites: paper

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

MetaCare++: Meta-Learning with Hierarchical Subtyping for Cold-Start Diagnosis Prediction in Healthcare Data
Yanchao Tan, Carl Yang, Xiangyu Wei et al. International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR), 2022. Cites: paper

Prediction Models for One-Year Survival of Adult Patients with Acute Kidney Injury: A Longitudinal Study Based on the Data from the Medical Information Mart for Intensive Care III Database
Lifang Zhou, Laping Chu, Junqiong Peng et al. Evidence-based Complementary and Alternative Medicine, 2022. Cites: paper

Prediction of All-Cause Mortality Based on Stress/Rest Myocardial Perfusion Imaging (MPI) Using Deep Learning: A Comparison between Image and Frequency Spectra as Input
Da‐Chuan Cheng, Te‐Chun Hsieh, Yu-Ju Hsu et al. Journal of Personalized Medicine, 2022. Cites: paper

Synthetic Observational Health Data with GANs: from slow adoption to a boom in medical research and ultimately digital twins?
Jeremy Georges-Filteau, Elisa Cirillo. Research Square, 2022. Cites: paper

Do We Need a Specific Corpus and Multiple High-Performance GPUs for Training the BERT Model? An Experiment on COVID-19 Dataset
Nontakan Nuntachit, Prompong Sugunnasil. Machine Learning and Knowledge Extraction, 2022. Cites: paper

HydaLearn
Sam Verboven, Muhammad Hafeez Chaudhary, Jeroen Berrevoets et al. Applied Intelligence, 2022. Cites: paper

Shifting machine learning for healthcare from development to deployment and from models to data
Angela Zhang, Lei Xing, James Zou et al. Nature Biomedical Engineering, 2022. Cites: paper

Sepsis subphenotyping based on organ dysfunction trajectory
Zhenxing Xu, Chengsheng Mao, Chang Su et al. Critical Care, 2022. Cites: paper

State-of-the-Art Deep Learning Methods on Electrocardiogram Data: Systematic Review
Γεώργιος Πετμεζάς, Leandros Stefanopoulos, Vassilis Kilintzis et al. JMIR Medical Informatics, 2022. Cites: paper

The obesity paradox for survivors of critically ill patients
Dawei Zhou, Chao Wang, Qing Lin et al. Critical Care, 2022. Cites: paper

A Reinforcement Learning-Informed Pattern Mining Framework for Multivariate Time Series Classification
Ge Gao, Qitong Gao, Xi Yang et al. International Joint Conference on Artificial Intelligence, 2022. Cites: paper

Assuring the safety of AI-based clinical decision support systems: a case study of the AI Clinician for sepsis treatment
Paul Festor, Yan Jia, Anthony C. Gordon et al. BMJ Health & Care Informatics, 2022. Cites: paper

Chronic Disease Management with Personalized Lab Test Response Prediction
Suman Bhoi, Mong Li Lee, Wynne Hsu et al. International Joint Conference on Artificial Intelligence, 2022. Cites: paper

Classifying the lifestyle status for Alzheimer’s disease from clinical notes using deep learning with weak supervision
Zitao Shen, Dalton Schutte, Yoonkwon Yi et al. BMC Medical Informatics and Decision Making, 2022. Cites: paper

DRCNNTLe: A deep recurrent convolutional neural network with transfer learning through pre-trained embeddings for automated ICD coding
Sajida Raz Bhutto, Yifan Wu, Min Zeng et al. Methods, 2022. Cites: paper

FLICU: A Federated Learning Workflow for Intensive Care Unit Mortality Prediction
Lena Mondrejevski, Ioanna Miliou, Annaclaudia Montanino et al. Proceedings - IEEE Symposium on Computer-Based Medical Systems, 2022. Cites: paper

Machine Learning Techniques Differentiate Alcohol-Associated Hepatitis From Acute Cholangitis in Patients With Systemic Inflammation and Elevated Liver Enzymes
Joseph C. Ahn, Yung‐Kyun Noh, Puru Rattan et al. Mayo Clinic Proceedings, 2022. Cites: paper

Quantifying Health Inequalities Induced by Data and AI Models
Honghan Wu, Aneeta Sylolypavan, Minhong Wang et al. International Joint Conference on Artificial Intelligence, 2022. Cites: paper

Comparing the variability of ingredient, strength, and dose form information from electronic prescriptions with RxNorm drug product descriptions
Corey A. Lester, Allen J. Flynn, Vincent D. Marshall et al. Journal of the American Medical Informatics Association, 2022. Cites: paper

Neutrophil-to-Lymphocyte Ratio Predicts in-Hospital Mortality in Intracerebral Hemorrhage
Li Li, Hang Zhang, Guilong Feng. Journal of Stroke and Cerebrovascular Diseases, 2022. Cites: paper

Diabetes Detection and Management through Photoplethysmographic and Electrocardiographic Signals Analysis: A Systematic Review
Serena Zanelli, Mehdi Ammi, Magid Hallab et al. Sensors, 2022. Cites: paper

External Validation and Transportability of Models to Predict Acute Kidney Injury in the Intensive Care Unit
Iacopo Vagliano, Carmen Byrne Salsas, Tina Wünn et al. Studies in health technology and informatics, 2022. Cites: paper

Measurement of Vital Signs Using Lifelight Remote Photoplethysmography: Results of the VISION-D and VISION-V Observational Studies
Emily Heiden, Thomas Llewelyn Jones, Annika Brogaard Maczka et al. JMIR Formative Research, 2022. Cites: paper

Red Cell Distribution Width is Associated with Short-Term Mortality in Critically Ill Patients with Heart Failure
Xinyu Zhang, Yi Wang, Naiyi Chen et al. ESC Heart Failure, 2022. Cites: paper

Context-Aware Health Event Prediction via Transition Functions on Dynamic Disease Graphs
Chang Hua Lu, Tian Han, Yue Ning. Proceedings of the AAAI Conference on Artificial Intelligence, 2022. Cites: paper

Feature Importance Explanations for Temporal Black-Box Models
Akshay Sood, Mark W. Craven. Proceedings of the AAAI Conference on Artificial Intelligence, 2022. Cites: paper

Knowledge Distillation via Constrained Variational Inference
Ardavan Saeedi, Yuria Utsumi, Li Sun et al. Proceedings of the AAAI Conference on Artificial Intelligence, 2022. Cites: paper

Inductive Representation Learning of Multiple ICD Codes for Healthcare
Sheng Jie Lui, Xiang Cheng, Shonali Priyadarsini Krishnaswamy. International Conference on Control and Automation, 2022. Cites: paper

Machine Learning-Based Systems for the Anticipation of Adverse Events After Pediatric Cardiac Surgery
Patricia García‐Canadilla, Alba Isabel-Roquero, Esther Aurensanz Clemente et al. Frontiers in Pediatrics, 2022. Cites: paper

Outcome Prediction in Critically-Ill Patients with Venous Thromboembolism and/or Cancer Using Machine Learning Algorithms: External Validation and Comparison with Scoring Systems
Vasiliki Danilatou, Stylianos Nikolakakis, Despoina Antonakaki et al. International Journal of Molecular Sciences, 2022. Cites: paper

Development and validation of a deep learning model to predict the survival of patients in ICU
Hai Tang, Zhuochen Jin, Jiajun Deng et al. Journal of the American Medical Informatics Association, 2022. Cites: paper

Early Prediction of Sepsis for ICU Patients using Gradient Boosted Tree
Teh Xuan Ying, Asma Abu-Samah. IEEE International Conference on Automatic Control and Intelligent Systems (I2CACIS), 2022. Cites: paper

Early prediction of ventilator-associated pneumonia in critical care patients: a machine learning model
Yingjian Liang, Chengrui Zhu, Cong Tian et al. BMC Pulmonary Medicine, 2022. Cites: paper

Effects of transthoracic echocardiography on the prognosis of patients with acute respiratory distress syndrome: a propensity score matched analysis of the MIMIC-III database
Daoran Dong, Yan Wang, Chan Wang et al. BMC Pulmonary Medicine, 2022. Cites: paper

Self-Supervised Transformer for Sparse and Irregularly Sampled Multivariate Clinical Time-Series
Sindhu Tipirneni, Chandan K. A. Reddy. ACM Transactions on Knowledge Discovery from Data, 2022. Cites: paper

PyMVPD: A Toolbox for Multivariate Pattern Dependence
Mengting Fang, Craig Poskanzer, Stefano Anzellotti. Frontiers in Neuroinformatics, 2022. Cites: paper

Temporal model to explore administrative healthcare databases
Johanne Bakalara. 2022. Cites: paper

A novel machine learning model to predict respiratory failure and invasive mechanical ventilation in critically ill patients suffering from COVID-19
Itai Bendavid, Liran Statlender, Leonid Shvartser et al. Scientific Reports, 2022. Cites: paper

Attention-LRCN: Long-term Recurrent Convolutional Network for Stress Detection from Photoplethysmography
Jiho Choi, Jun Seong Lee, Moonwook Ryu et al. IEEE International Symposium on Medical Measurements and Applications (MeMeA), 2022. Cites: paper

Healthsheet: Development of a Transparency Artifact for Health Datasets
Negar Rostamzadeh, Diana Mincu, Subhrajit Roy et al. ACM Conference on Fairness, Accountability, and Transparency (FAccT), 2022. Cites: paper

U-Shaped Association Between Blood Pressure and Mortality Risk in ICU Patients With Atrial Fibrillation: The MIMIC-III Database
Ying Shao, Jinzhu Hu. Frontiers in Cardiovascular Medicine, 2022. Cites: paper

Using ECG signals for hypotensive episode prediction in trauma patients
Neta Rosenfeld, Mark Last. Computer Methods and Programs in Biomedicine, 2022. Cites: paper

Automatic data extraction to support meta-analysis statistical analysis: a case study on breast cancer
Faith Wavinya Mutinda, Kongmeng Liew, Shuntaro Yada et al. BMC Medical Informatics and Decision Making, 2022. Cites: paper

Comparison between machine learning methods for mortality prediction for sepsis patients with different social determinants
Hanyin Wang, Yikuan Li, Andrew M. Naidech et al. BMC Medical Informatics and Decision Making, 2022. Cites: paper

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