Publications citing MIMIC-III Clinical Database Demo v1.4

Albumin Level is Associated with Short-Term and Long-Term Outcomes in Sepsis Patients Admitted in the ICU: A Large Public Database Retrospective Research
Yan Cao, Yingjie Su, Cuirong Guo et al. Clinical Epidemiology, 2023. Cites: paper

HTPS: Heterogeneous Transferring Prediction System for Healthcare Datasets
Jia-Hao Syu, Jerry Chun‐Wei Lin, Marcin Fojcik et al. Euromicro International Conference on Parallel, Distributed and Network-Based Processing (PDP), 2023. Cites: paper

PaCO2 Levels at Admission Influence the Prognosis of Sepsis Patients: A Nonlinear Relationship
Zhongkai Qu, Yan Ye, Fang Li et al. Journal of Translational Critical Care Medicine, 2023. Cites: paper

Towards more efficient and robust evaluation of sepsis treatment with deep reinforcement learning
Chao Yu, Qikai Huang. BMC Medical Informatics and Decision Making, 2023. Cites: paper

Integrating Structured and Unstructured EHR Data for Predicting Mortality by Machine Learning and Latent Dirichlet Allocation Method
Chih‐Chou Chiu, Chung-Min Wu, Te-Nien Chien et al. International Journal of Environmental Research and Public Health, 2023. Cites: paper

Automated ICD coding for coronary heart diseases by a deep learning method
Shuai Zhao, Xiaolin Diao, Yun Xia et al. Heliyon, 2023. Cites: paper

Strategies of Predictive Schemes and Clinical Diagnosis for Prognosis Using MIMIC-III: A Systematic Review
Sarika R. Khope, Susan Elias. Healthcare, 2023. Cites: dataset, paper

Survey on the Biomedical Text Summarization Techniques with an Emphasis on Databases, Techniques, Semantic Approaches, Classification Techniques, and Similarity Measures
Dipti Pawar, Shraddha Phansalkar, Abhishek Sharma et al. Sustainability, 2023. Cites: paper

Synthetic data generation: State of the art in health care domain
Hajra Murtaza, Musharif Ahmed, Naurin Farooq Khan et al. Computer Science Review, 2023. Cites: paper

Correlating contexts and NFR conflicts from event logs
Mandira Roy, Souvick Das, Novarun Deb et al. Software & Systems Modeling, 2023. Cites: paper

A deep learning system for heart failure mortality prediction
Dengao Li, Jian Fu, Jumin Zhao et al. PLoS ONE, 2023. Cites: paper

Outcomes and predictors of delayed endoscopic biliary drainage for severe acute cholangitis due to choledocholithiasis in an intensive care unit
Abdellah Hedjoudje, Chérifa Cheurfa, Mohamed Et Talby et al. Digestive and Liver Disease, 2023. Cites: paper

Prognostic value of C-reactive protein to albumin ratio for mortality in acute kidney injury
Baohua Liu, Dezhao Lv. BMC Nephrology, 2023. Cites: paper

Buckley–James estimation of generalized additive accelerated lifetime model with ultrahigh‐dimensional data
Zichang Li, Xuejing Zhao. Statistical Analysis and Data Mining The ASA Data Science Journal, 2023. Cites: paper

Could an artificial intelligence approach to prior authorization be more human?
Leslie Andrew Lenert, Steven Lane, Ramsey M. Wehbe. Journal of the American Medical Informatics Association, 2023. Cites: paper

Pre-training in Medical Data: A Survey
Yixuan Qiu, Feng Lin, Weitong Chen et al. Machine Intelligence Research, 2023. Cites: paper

The impact of inconsistent human annotations on AI driven clinical decision making
Aneeta Sylolypavan, Derek H. Sleeman, Honghan Wu et al. npj Digital Medicine, 2023. Cites: paper

A New Risk Model based on the Machine Learning Approach for Prediction of Mortality in the Respiratory Intensive Care Unit
Peng Yan, Siwan Huang, Ye Li et al. Current Pharmaceutical Biotechnology, 2023. Cites: paper

Blood pressure stratification using photoplethysmography and light gradient boosting machine
Xudong Hu, Shimin Yin, Xizhuang Zhang et al. Frontiers in Physiology, 2023. Cites: paper

Explainable clinical coding with in-domain adapted transformers
Guillermo López-García, Jose Manuel Jerez, Nuria Ribelles et al. Journal of Biomedical Informatics, 2023. Cites: paper

Interpretable machine learning models for predicting in-hospital death in patients in the intensive care unit with cerebral infarction
Yang Ouyang, Meng Cheng, Bingqing He et al. Computer Methods and Programs in Biomedicine, 2023. Cites: paper

Photoplethysmography Signal Wavelet Enhancement and Novel Features Selection for Non-Invasive Cuff-Less Blood Pressure Monitoring
Filippo Attivissimo, Luisa De Palma, Attilio Di Nisio et al. Sensors, 2023. Cites: paper

Applying a Social Determinants of Health Framework to Guide Digital Innovations That Reduce Disparities in Chronic Disease
Stephanie Paige Goldstein, Alison Tovar, Hallie Espel‐Huynh et al. Psychosomatic Medicine, 2023. Cites: paper

Multitask deep label distribution learning for blood pressure prediction
Keke Qin, Wu Xin Huang, Tao Zhang. Information Fusion, 2023. Cites: paper

Advancements in extracting social determinants of health information from narrative text
Kevin Lybarger, Oliver J. Bear Don’t Walk, Meliha Yetişgen et al. Journal of the American Medical Informatics Association, 2023. Cites: paper

Improving Intensive Care Unit Early Readmission Prediction Using Optimized and Explainable Machine Learning
José A. González‐Nóvoa, Silvia Campanioni, Laura Busto et al. International Journal of Environmental Research and Public Health, 2023. Cites: paper

Machine Learning Augmented Interpretation of Chest X-rays: A Systematic Review
Hassan K. Ahmad, Michael Milne, Quinlan D. Buchlak et al. Diagnostics, 2023. Cites: paper

Recurrent neural network for complex survival problems
Pius Marthin, Nihal Ata Tutkun. Journal of Statistical Computation and Simulation, 2023. Cites: paper

Clinical Concept-Based Radiology Reports Classification Pipeline for Lung Carcinoma
Sneha Mithun, Ashish Kumar Jha, Umesh B. Sherkhane et al. Journal of Imaging Informatics in Medicine, 2023. Cites: paper

How to Annotate Patient Monitoring Alarms in Intensive Care Medicine for Machine Learning
Sophie Anne Inès Klopfenstein, Anne Rike Flint, Patrick Heeren et al. Research Square, 2023. Cites: paper

Minimum heart rate and mortality after cardiac surgery: retrospective analysis of the Multi-parameter Intelligent Monitoring in Intensive Care (MIMIC-III) database
Chaodi Luo, Zhenzhen Duan, Ziheng Xia et al. Scientific Reports, 2023. Cites: paper

Patient Mortality Prediction and Analysis of Health Cloud Data Using a Deep Neural Network
Abdullah Alourani, Kinza Tariq, Muhammad Tahir et al. Applied Sciences, 2023. Cites: paper

A Bayesian method for the automatic extraction of meaningful clinical sequences from large clinical databases
Aashara Shrestha, Dimitrios Zikos, Leonidas Fegaras et al. Computer Methods and Programs in Biomedicine, 2023. Cites: paper

Analysis of risk factors for severe acute kidney injury in patients with acute myocardial infarction: A retrospective study
Yuxin Nong, Xuebiao Wei, Hongrui Qiu et al. Frontiers in Nephrology, 2023. Cites: paper

Clinical Natural Language Processing for Japanese: Challenges and Opportunities
Judai Yuki. 2023. Cites: paper

Patient Clustering for Vital Organ Failure Using ICD Code With Graph Attention
Zhangdaihong Liu, Ying Hu, Xuan Wu et al. IEEE Transactions on Biomedical Engineering, 2023. Cites: paper

PulseDB: A large, cleaned dataset based on MIMIC-III and VitalDB for benchmarking cuff-less blood pressure estimation methods
Weinan Wang, Pedram Mohseni, Kevin L. Kilgore et al. Frontiers in Digital Health, 2023. Cites: paper

The magnitude, but not the duration of elevated central venous pressure is associated with mortality in sepsis patients: An analysis of the MIMIC-IV database
Han Chen, Shurong Gong, Xiuling Shang et al. PLoS ONE, 2023. Cites: paper

Clinical-GAN: Trajectory Forecasting of Clinical Events using Transformer and Generative Adversarial Networks
Vignesh Shankar, Elnaz Yousefi, Alireza Manashty et al. Artificial Intelligence in Medicine, 2023. Cites: paper

Deep learning approach to detection of colonoscopic information from unstructured reports
Donghyeong Seong, Yoon Ho Choi, Soo-Yong Shin et al. BMC Medical Informatics and Decision Making, 2023. Cites: paper

Transparent reporting of multivariable prediction models developed or validated using clustered data (TRIPOD-Cluster): explanation and elaboration
Thomas P. A. Debray, Professor Gary S. Collins, Richard D Riley et al. BMJ, 2023. Cites: paper

Prognostic value of inflammation biomarkers for 30-day mortality in critically ill patients with stroke
Jun Zhao, Jinli Feng, Qian Ma et al. Frontiers in Neurology, 2023. Cites: paper

Variational Temporal Deconfounder for Individualized Treatment Effect Estimation with Longitudinal Observational Data
Zheng Feng, Mattia Prosperi, Yi Maggie Guo et al. Research Square, 2023. Cites: paper

DGCL: Distance-wise and Graph Contrastive Learning for medication recommendation
Xingwang Li, Yijia Zhang, Xiaobo Li et al. Journal of Biomedical Informatics, 2023. Cites: paper

A new criteria for acute on preexisting kidney dysfunction in critically ill patients
Dejiang Hong, Qinghuan Ren, Jie Zhang et al. Renal Failure, 2023. Cites: paper

A value-based deep reinforcement learning model with human expertise in optimal treatment of sepsis
Xiaodan Wu, Ruichang Li, Zhen He et al. npj Digital Medicine, 2023. Cites: paper

Building a knowledge graph to enable precision medicine
Payal Chandak, Kexin Huang, Marinka Žitnik. Scientific Data, 2023. Cites: paper

Actionable Suggestions in Support of Rehospitalization Risk Predicted by Artificial Intelligence
Giada Confortola, Mika Takata, Naoaki Yokoi et al. IEEE International Conference on Big Data and Smart Computing (BigComp), 2023. Cites: paper

A Systematic Review of Application Progress on Machine Learning-Based Natural Language Processing in Breast Cancer over the Past 5 Years
Chengtai Li, Ying Weng, Yiming Zhang et al. Diagnostics, 2023. Cites: paper

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