Publications citing MIMIC-III Clinical Database Demo v1.4

Computational approaches to alleviate alarm fatigue in intensive care medicine: A systematic literature review
Jonas Chromik, Sophie Anne Inès Klopfenstein, Bjarne Pfitzner et al. Frontiers in Digital Health, 2022. Cites: paper

Explainable Prediction of Medical Codes through Automated Knowledge Graph Curation Framework
Mutahira Khalid, Hasan Ali Khattak, Arsalan Ahmad et al. International Bhurban Conference on Applied Sciences and Technology (IBCAST), 2022. Cites: paper

DrNote: An open medical annotation service
Johann Frei, Iñaki Soto‐Rey, Frank Krämer. PLOS Digital Health, 2022. Cites: paper

Enabling Timely Medical Intervention by Exploring Health-Related Multivariate Time Series with a Hybrid Attentive Model
Jia Xie, Zhu Wang, Zhiwen Yu et al. Sensors, 2022. Cites: paper

New Frontiers of Natural Language Processing in Surgery
Miranda Xiao Morris, Ethan Y. Song, Aashish Rajesh et al. The American Surgeon, 2022. Cites: paper

4SDrug: Symptom-based Set-to-set Small and Safe Drug Recommendation
Yanchao Tan, Chengjun Kong, Leisheng Yu et al. ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD), 2022. Cites: paper

Deconfounding Actor-Critic Network with Policy Adaptation for Dynamic Treatment Regimes
Changchang Yin, Ruoqi Liu, Jeffrey M. Caterino et al. ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD), 2022. Cites: paper

Intelligent Optimization Approaches for a Secured Dynamic Partial Reconfigurable Architecture-Based Health Monitoring System
R. Saravana Ram, M. Lordwin Cecil Prabhaker. Journal of Circuits Systems and Computers, 2022. Cites: paper

Identifying the Perceived Severity of Patient-Generated Telemedical Queries Regarding COVID: Developing and Evaluating a Transfer Learning–Based Solution
Joseph Gatto, Parker Seegmiller, Garrett Johnston et al. JMIR Medical Informatics, 2022. Cites: paper

Offline reinforcement learning with representations for actions
Xingzhou Lou, Qiyue Yin, Junge Zhang et al. Information Sciences, 2022. Cites: paper

Standardized Description of the Feature Extraction Process to Transform Raw Data Into Meaningful Information for Enhancing Data Reuse: Consensus Study
Antoine Lamer, Mathilde Fruchart, Nicolás Paris et al. JMIR Medical Informatics, 2022. Cites: paper

Association of platelet count trajectories with clinical outcomes in patients with sepsis: a retrospective cohort study based on the MIMIC-IV database
Dong Wang, Zepeng Zhu, Xun Lu et al. Research Square, 2022. Cites: paper

Development and validation of a nomogram to predict the 30-day mortality risk of patients with intracerebral hemorrhage
Jianyu Zou, Huihuang Chen, Cuiqing Liu et al. Frontiers in Neuroscience, 2022. Cites: paper

Fair Reinforcement Learning for Maternal Sepsis Treatment
Siân Carey, Ciarán D. McInerney, Tom Lawton et al. medRxiv, 2022. Cites: paper

Interaction of hemoglobin, transfusion, and acute kidney injury in patients undergoing cardiopulmonary bypass: a group-based trajectory analysis
Lingyong Cao, Weizhe Ru, Caibao Hu et al. Renal Failure, 2022. Cites: paper

A Multimodal Transformer: Fusing Clinical Notes with Structured EHR Data for Interpretable In-Hospital Mortality Prediction
Weimin Lyu, Xinyu Dong, Rachel Wong et al. PubMed Central, 2022. Cites: paper

Association Between Wait Time of Central Venous Pressure Measurement and Outcomes in Critical Patients With Acute Kidney Injury: A Retrospective Cohort Study
Qilin Yang, Weixiao Chen, Yichao Wen et al. Frontiers in Public Health, 2022. Cites: paper

Base excess is associated with the risk of all-cause mortality in critically ill patients with acute myocardial infarction
Chaodi Luo, Zhenzhen Duan, Tingting Zheng et al. Frontiers in Cardiovascular Medicine, 2022. Cites: paper

Development and validation of a prognostic nomogram among patients with acute exacerbation of chronic obstructive pulmonary disease in intensive care unit
Jiang-Chen Peng, Wen-Wen Gong, Yan Yun Wu et al. BMC Pulmonary Medicine, 2022. Cites: paper

The Application of Machine Learning in Predicting Mortality Risk in Patients With Severe Femoral Neck Fractures: Prediction Model Development Study
Lingxiao Xu, Jun Liu, Chunxia Han et al. JMIR Bioinformatics and Biotechnology, 2022. Cites: paper

Performance of existing clinical scores and laboratory tests for the diagnosis of invasive candidiasis in critically ill, nonneutropenic, adult patients: A systematic review with qualitative evidence synthesis
Daniele Roberto Giacobbe, Erika Asperges, Andrea Cortegiani et al. Mycoses, 2022. Cites: paper

Prediction of All-cause Mortality with Sepsis-associated Encephalopathy in the ICU Based on Interpretable Machine Learning
Lu Xiao, Jiang Zhu, Jiahui Gui et al. IEEE International Conference on Mechatronics and Automation (ICMA), 2022. Cites: paper

Comparison of pulse rate variability and morphological features of photoplethysmograms in estimation of blood pressure
Elisa Mejía‐Mejía, Karthik Budidha, P. A. Kyriacou et al. Biomedical Signal Processing and Control, 2022. Cites: paper

Development and usage of an anesthesia data warehouse: lessons learnt from a 10-year project
Antoine Lamer, Mouhamed Djahoum Moussa, Romaric Marcilly et al. Journal of Clinical Monitoring and Computing, 2022. Cites: paper

Time-varying intensity of oxygen exposure is associated with mortality in critically ill patients with mechanical ventilation
Zhu Zhu, Mingqin Zhou, Yao Wei et al. Critical Care, 2022. Cites: paper

A comparison of statistical methods for modeling count data with an application to hospital length of stay
Gustavo A. Fernandez, Kristina P. Vatcheva. BMC Medical Research Methodology, 2022. Cites: dataset, paper

A Computational Modeling and Simulation Workflow to Investigate the Impact of Patient-Specific and Device Factors on Hemodynamic Measurements from Non-Invasive Photoplethysmography
Jesse N. Fine, Michael J. McShane, Gerard L. Coté et al. Biosensors, 2022. Cites: paper

A scoping review of publicly available language tasks in clinical natural language processing
Yanjun Gao, Dmitriy Dligach, Leslie Christensen et al. Journal of the American Medical Informatics Association, 2022. Cites: paper

In with the old, in with the new: machine learning for time to event biomedical research
Ioana Danciu, Greeshma A. Agasthya, Janet P. Tate et al. Journal of the American Medical Informatics Association, 2022. Cites: paper

Machine learning models for predicting acute kidney injury: a systematic review and critical appraisal
Iacopo Vagliano, Nicholas C Chesnaye, Jan Hendrik Leopold et al. Clinical Kidney Journal, 2022. Cites: paper

Fine-Grained ICD Code Assignment Using Ontology-Based Classification
Joshua Carberry, Haiping Xu. IEEE International Conference on Information Reuse and Integration (IRI), 2022. Cites: paper

GAN-based Differential Privacy Trajectory Data Publishing with Sensitive Label
Lin Yao, Yu Zhang, Zhaolong Zheng et al. International Conference on Big Data Computing and Communications (BigCom), 2022. Cites: paper

MBGAN: An improved generative adversarial network with multi-head self-attention and bidirectional RNN for time series imputation
Qingjian Ni, Xuehan Cao. Engineering Applications of Artificial Intelligence, 2022. Cites: paper

Medication Prediction Using Memory Augmented Heterogeneous Information Fusion Network
Yang An, Yufeng Sun, Bo Jin et al. International Conference on Big Data Computing and Communications (BigCom), 2022. Cites: paper

Non-linear relationship between baseline mean arterial pressure and 30-day mortality in patients with sepsis: a retrospective cohort study based on the MIMIC-III database
Bingbing Cao, Qian Chen, Tiantian Tang et al. Annals of Translational Medicine, 2022. Cites: paper

Retraining a BERT Model for Transfer Learning in Requirements Engineering: A Preliminary Study
Muideen A. Ajagbe, Liping Zhao. IEEE International Requirements Engineering Conference (RE), 2022. Cites: paper

Toward interpretable and actionable data analysis with explanations and causality
Sudeepa Roy. Proceedings of the VLDB Endowment, 2022. Cites: paper

Time‐dependent prediction of mortality and cytomegalovirus reactivation after allogeneic hematopoietic cell transplantation using machine learning
Lisa Eisenberg, Christian Brossette, Jochen Rauch et al. American Journal of Hematology, 2022. Cites: paper

Avaliando Métodos de Aprendizado de Máquina na Concepção de uma Abordagem para Predição Antecipada do Risco de Mortalidade em UTIs
Alexandre Renato Rodrigues de Souza, Fabrício Neitzke Ferreira, Rodrigo Blanke Lambrecht et al. Anais do Seminário Integrado de Software e Hardware (SEMISH), 2022. Cites: paper

IoT Diálise Peritoneal: Uma Abordagem Explorando o Monitoramento Remoto de Pacientes
Rogério da Costa Albandes, Alexandre Lima de Souza, Rodrigo Blanke Lambrecht et al. Anais do Seminário Integrado de Software e Hardware (SEMISH), 2022. Cites: paper

Artificial Intelligence in Healthcare Competition (TEKNOFEST-2021): Stroke Data Set
Emrah Karakaş, Şuayıp Birinci, Mustafa Mahir Ülgü et al. Eurasian Journal of Medicine, 2022. Cites: paper

Effect of transthoracic echocardiography on short-term outcomes in patients with acute kidney injury in the intensive care unit: a retrospective cohort study based on the MIMIC-III database
Caijie Liu, Shuying Wang, Xiuzhen Wang. Annals of Translational Medicine, 2022. Cites: paper

Needle in a Haystack: Generating Audit Hypotheses for Clinical Audits of Hospitals
Aditi Pawde, Sushodhan Vaishampayan, Akshada Shinde et al. SN Computer Science, 2022. Cites: paper

IoT EWS: Uma Abordagem Explorando Monitoramento Remoto de Pacientes na Internet das Coisas
Rogério da Costa Albandes, Alexandre Lima de Souza, Rodrigo Blanke Lambrecht et al. 2022. Cites: paper

Modeling long-term dependencies and short-term correlations in patient journey data with temporal attention networks for health prediction
Yuxi Liu, Zhenhao Zhang, Antonio Jimeno Yepes et al. ACM International Conference on Bioinformatics, Computational Biology, and Health Informatics (ACM-BCB), 2022. Cites: paper

Predicting the need for blood transfusion in intensive care units with reinforcement learning
Yuqing Wang, Yun Zhao, Linda Ruth Petzold. ACM International Conference on Bioinformatics, Computational Biology, and Health Informatics (ACM-BCB), 2022. Cites: paper

A prediction and interpretation machine learning framework of mortality risk among severe infection patients with pseudomonas aeruginosa
Chen Cui, Fei Mu, Meng Tang et al. Frontiers in Medicine, 2022. Cites: paper

Body surface area as a prognostic predictor in patients with sepsis
Haihua Chang, Lin Liao, Wei Wang et al. Research Square, 2022. Cites: paper

A CNN Approach To Predicting Non-Invasive Blood Pressure of Surgical Patients
Pin-You Ko, Lien‐Fu Lai, Tien-Hsiung Ku et al. IEEE International Conference on Knowledge Innovation and Invention (ICKII), 2022. Cites: paper

A Pseudo Label-Wise Attention Network for Automatic ICD Coding
Yifan Wu, Min Zeng, Ying Yu et al. IEEE Journal of Biomedical and Health Informatics, 2022. Cites: paper

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