Publications citing MIMIC-IV v3.1

Interpretable Machine Learning Approach for Predicting 30-Day Mortality of Critical Ill Patients with Pulmonary Embolism and Heart Failure: A Retrospective Study
Jing Liu, Ruobei Li, Tiezhu Yao et al. Clinical and Applied Thrombosis/Hemostasis, 2024. Cites: dataset

Investigating an Ontology-Informed Approach to Event Log Generation in Healthcare
Owen P. Dwyer, Lara Chammas, Emanuel Sallinger et al. Lecture notes in business information processing, 2024. Cites: dataset, paper

KEIM: Knowledge Graph Empowered Interpretable Model for Diagnosis Prediction
Zhaojing Luo, Chi Zhang, Hao Wang et al. Lecture notes in computer science, 2024. Cites: paper

Machine learning-based prognostic model for in-hospital mortality of aortic dissection: Insights from an intensive care medicine perspective
Jiahao Lei, Zhuojing Zhang, Yixuan Li et al. Digital Health, 2024. Cites: dataset, paper

MEDBind: Unifying Language and Multimodal Medical Data Embeddings
Yuan Gao, Sangwook Kim, David E. Austin et al. Lecture notes in computer science, 2024. Cites: paper

MedSyn: LLM-Based Synthetic Medical Text Generation Framework
Gleb Kumichev, Pavel Dmitrievich Blinov, Yulia Kuzkina et al. Lecture notes in computer science, 2024. Cites: paper

Multi-scale and Multi-level Attention Based on External Knowledge in EHRs
Duc Truyen Le, Bac Hoai Le. Communications in computer and information science, 2024. Cites: dataset

Multitask learning to predict successful weaning in critically ill ventilated patients: A retrospective analysis of the MIMIC-IV database
Ming-Yen Lin, Hsin-You Chi, Wen‐Cheng Chao. Digital Health, 2024. Cites: paper

Operationalizing Nursing Value
A. Mateos García, Catherine H. Ivory, Elizabeth Swanson et al. Nursing Economic$, 2024. Cites: dataset

OptiSGD-DPWGAN: Integrating Metaheuristic Algorithms and Differential Privacy to Improve Privacy-Utility Trade-Off in Generative Models
Alshaymaa Ahmed Mohamed, Yasmine N. M. Saleh, Ayman Abdel-Hamid. IEEE Access, 2024. Cites: paper

Prediction of patient flow in the emergency department using explainable artificial intelligence
Pedro A. Moreno-Sánchez, Matti Aalto, Mark van Gils. Digital Health, 2024. Cites: paper

Prediction of sepsis within 24 hours at the triage stage in emergency departments using machine learning
Jingyuan Xie, Jiandong Gao, Mutian Yang et al. World Journal of Emergency Medicine, 2024. Cites: paper

RedactBuster: Entity Type Recognition from Redacted Documents
Mirco Beltrame, Mauro Conti, Pierpaolo Guglielmin et al. Lecture notes in computer science, 2024. Cites: paper

Research on ICU Sepsis Prognosis Based on Multimodal Fusion Modeling
瑞倩武. Modeling and Simulation, 2024. Cites: paper

Robust Fusion of Time Series and Image Data for Improved Multimodal Clinical Prediction
Ali Rasekh, Reza Heidari, Amir Hosein Haji Mohammad Rezaie et al. IEEE Access, 2024. Cites: paper

Sequential Anomaly Detection for Continuous Prediction of Unexpected ICU Admission From Emergency Department
Sooho Choi, Gyumin Kim, Jeong Eul Kwon et al. IEEE Access, 2024. Cites: paper

The Good, the Bad, the Ugly - Enhanced Risk Stratification of Patients with Sepsis-Associated Acute Liver Injury Using the De Ritis Ratio
Lars Palmowski, Britta Westhus, Andrea Witowski et al. SSRN Electronic Journal, 2024. Cites: paper

Towards Explainability in Automated Medical Code Prediction from Clinical Records
U. Kanimozhi, Sumam Francis, Wei Sun et al. Lecture notes in networks and systems, 2024. Cites: dataset

Update on the Epimed Monitor Adult ICU Database: 15 years of its use in national registries, quality improvement initiatives and clinical research
Márcio Soares, Lunna Perdigão Borges, Leonardo dos Santos Lourenço Bastos et al. Critical Care Science, 2024. Cites: paper

Using Machine Learning Methods to Predict the Lactate Trend of Sepsis Patients in the ICU
Mustafa Kemal Arslantaş, Tunç Aşuroğlu, Reyhan Arslantaş et al. Communications in computer and information science, 2024. Cites: dataset

Nomograms for Predicting the Risk of Acute Heart Failure in ICU Patients with Atrial Fibrillation
Ziyang Wu, Yong Qiao, Gaoliang Yan et al. Research Square, 2023. Cites: paper

A Deep Learning–Based Approach for Prediction of Vancomycin Treatment Monitoring: Retrospective Study Among Patients With Critical Illness
Dohyun Kim, Hyun-Soo Choi, Donghoon Lee et al. JMIR Formative Research, 2023. Cites: paper

Early prediction of mortality at sepsis diagnosis time in critically ill patients by using interpretable machine learning
Yiwei Cheng, Po‐Chih Kuo, Shih-Hong Chen et al. Journal of Clinical Monitoring and Computing, 2023. Cites: dataset

Automatically pre-screening patients for the rare disease aromatic l -amino acid decarboxylase deficiency using knowledge engineering, natural language processing, and machine learning on a large EHR population
Aaron Michael Cohen, Jolie Kaner, Ryan Miller et al. Journal of the American Medical Informatics Association, 2023. Cites: paper

Predicting Decompensation Risk in Intensive Care Unit Patients Using Machine Learning
Nosa Aikodon, Sandra Ortega‐Martorell, Iván Olier. Algorithms, 2023. Cites: paper

Low body temperature and mortality in critically ill patients with coronary heart disease: a retrospective analysis from MIMIC-IV database
Weiran Luo, Lixue Cao, Chuan Wang. European journal of medical research, 2023. Cites: dataset, paper

The Impact of Early Norepinephrine Use on Outcomes in Patients with Septic Shock: A Retrospective Study Based on the MIMIC IV Database
Zhao-kun Fan, Yingying Shen, Ru-qin Yi et al. Research Square, 2023. Cites: dataset, paper

U-shaped association between stress hyperglycemia ratio and risk of all-cause mortality in cardiac ICU
Le Li, Ligang Ding, Lihui Zheng et al. Diabetes & Metabolic Syndrome Clinical Research & Reviews, 2023. Cites: paper

Propensity score analysis of red cell distribution width to serum calcium ratio in acute myocardial infarction as a predictor of in-hospital mortality
Sulan Huang, Huijia Zhang, Zhijie Zhuang et al. Frontiers in Cardiovascular Medicine, 2023. Cites: paper

A large-scale dataset of patient summaries for retrieval-based clinical decision support systems
Zhengyun Zhao, Qiao Jin, Fangyuan Chen et al. Scientific Data, 2023. Cites: dataset, paper

Stress hyperglycemia has a J-shaped association with mortality among critically ill patients with sepsis
Yun Ji. Journal of Critical Care, 2023. Cites: paper

Fusion of Dynamic Hypergraph and Clinical Event for Sequential Diagnosis Prediction
Xin Zhang, Xueping Peng, Hongjiao Guan et al. IEEE International Conference on Parallel and Distributed Systems (ICPADS), 2023. Cites: paper

Effect of early enteral nutrition on short-term outcomes and survival in patients in the cardiothoracic intensive care unit: An inverse probability weighted retrospective study
Yi Shen, Bingmei Qiu, Qiyue Ge et al. Nutrition, 2023. Cites: dataset

A nomogram based on HALP score for predicting 28-day mortality in ICU-admitted cancer patients
Huishui Dai, Qifang Shi. Updates in Surgery, 2023. Cites: paper

A Novel Nomogram for Predicting the Risk of Acute Heart Failure in ICU Patients with COPD
Ziyang Wu, Sutong Zhan, Yong Qiao et al. Research Square, 2023. Cites: paper

Fresh frozen plasma transfusion after cardiac surgery
Calvin M. Fletcher, Jake V. Hinton, Zhongyue Xing et al. Perfusion, 2023. Cites: paper

Can admission Braden skin score predict delirium in older adults in the intensive care unit? Results from a multicenter study
Hongtao Cheng, Xiaxuan Huang, Shiqi Yuan et al. Journal of Clinical Nursing, 2023. Cites: paper

Graph-Based Patient Representation for Multimodal Clinical Data: Addressing Data Heterogeneity
Suparna Ghanvatkar, Vaibhav Rajan. medRxiv, 2023. Cites: paper

Association between statin use on delirium and 30-day mortality in patients with chronic obstructive pulmonary disease in the intensive care unit
Jiangling Xia, Chunhuan Hu, Leilei Wang et al. European journal of medical research, 2023. Cites: dataset

From Text to Tables: A Local Privacy Preserving Large Language Model for Structured Information Retrieval from Medical Documents
Isabella C. Wiest, Dyke Ferber, Jiefu Zhu et al. medRxiv, 2023. Cites: paper

Hemoglobin levels and clinical outcomes after extracorporeal circulation auxiliary to open heart surgery: a retrospective cohort study
Zhao-kun Fan, Zhirong Zhang, Ru-qin Yi et al. BMC Cardiovascular Disorders, 2023. Cites: dataset, paper

Nomograms for Predicting the Risk of Acute Heart Failure in ICU Patients with Atrial Fibrillation: A Retrospective Cohort Study
Ziyang Wu, Yong Qiao, Gaoliang Yan et al. medRxiv, 2023. Cites: paper

A dual-channel deep learning approach to continuous prediction of acute kidney injury in the intensive care unit
Xuetong Kong, Peng Zhang, Yunchao Ling et al. IEEE International Conference on Bioinformatics and Biomedicine (BIBM), 2023. Cites: paper

Association of autoimmune diseases with the occurrence and 28-day mortality of sepsis: an observational and Mendelian randomization study
Hui Li, Xiaojun Pan, Sheng Zhang et al. Critical Care, 2023. Cites: paper

Clinical Assessment of Pneumocystosis with MIMIC Data
Huanfei Wang, Qian Zhu, Jian Pei. IEEE International Conference on Bioinformatics and Biomedicine (BIBM), 2023. Cites: paper

Low HDL-C can be a biomarker to predict persistent severe AKI in septic patients? A retrospective cohort study
Wei Jiang, Song Lin, Weilei Gong et al. European journal of medical research, 2023. Cites: paper

ParaMET: A Parallel Framework for Efficient Medical Data Extraction on Tianhe-NG Supercomputer
Yutao Dou, Yangtao Zheng, Dazheng Liu et al. IEEE International Conference on Bioinformatics and Biomedicine (BIBM), 2023. Cites: paper

Sex Differences in Opioid Administration After Cardiac Surgery
Alexandra D. Karamesinis, Ary Serpa Neto, Jenny Shi et al. Journal of Cardiothoracic and Vascular Anesthesia, 2023. Cites: dataset

CODA: an open-source platform for federated analysis and machine learning on distributed healthcare data
Louis Mullie, Jonathan Afilalo, Patrick Michel Archambault et al. Journal of the American Medical Informatics Association, 2023. Cites: paper

Association of Frailty with Adverse Outcomes in Patients with Critical Acute Myocardial Infarction: A Retrospective Cohort Study
Weimin Bai, Taoke Huang, Xinying Li et al. Clinical Interventions in Aging, 2023. Cites: dataset

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