Publications citing MIMIC-IV v3.1

Federated Learning for Clinical Event Classification Using Vital Signs Data
Kang Yoon Lee, Ruzaliev Rakhmiddin. Multimodal Technologies and Interaction, 2023. Cites: paper

Triglyceride glucose index is a significant predictor of severe disturbance of consciousness and all-cause mortality in critical cerebrovascular disease patients
Ting Chen, Yuan Qian, Xingli Deng. Cardiovascular Diabetology, 2023. Cites: paper

Organism type of infection is associated with prognosis in sepsis: an analysis from the MIMIC-IV database
Qiuping Guo, Peng Qu, Wanfu Cui et al. BMC Infectious Diseases, 2023. Cites: dataset

Predicting the Onset of Sepsis Using Vital Signs Data: A Machine Learning Approach
An Tran, ROBERT V. TOPP, Ebrahim Tarshizi et al. Clinical Nursing Research, 2023. Cites: dataset

Impact of cardiac troponin release and fluid resuscitation on outcomes of patients with sepsis
Zhiyuan Ma, Mahesh Krishnamurthy, Vivek Amit Modi et al. International Journal of Cardiology, 2023. Cites: paper

Optimized Risk Score to Predict Mortality in Patients With Cardiogenic Shock in the Cardiac Intensive Care Unit
Eric Yamga, Sreekar Mantena, Darin T. Rosen et al. Journal of the American Heart Association, 2023. Cites: paper

Shining Light on Dark Skin: Pulse Oximetry Correction Models
João Carlos Ramos Gonçalves de Matos, Tristan Struja, Jack Gallifant et al. IEEE Portuguese Meeting on Bioengineering, 2023. Cites: paper

Association between hemoglobin-to-red blood cell distribution width ratio and hospital mortality in patients with non-traumatic subarachnoid hemorrhage
Jiuling Liu, Junhong Wang. Frontiers in Neurology, 2023. Cites: dataset

Association between triglyceride-glucose index and all-cause mortality in critically ill patients with ischemic stroke: analysis of the MIMIC-IV database
Weimin Cai, Jun Jie Xu, Xiao Wu et al. Cardiovascular Diabetology, 2023. Cites: paper

Glycemic variability and in-hospital death of critically ill patients and the role of ventricular arrhythmias
Yuhao Su, Weiguo Fan, Yang Liu et al. Cardiovascular Diabetology, 2023. Cites: paper

In the Name of Fairness: Assessing the Bias in Clinical Record De-identification
Yuxin Xiao, Shulammite Lim, Tom Pollard et al. ACM Conference on Fairness, Accountability, and Transparency (FAccT), 2023. Cites: paper

Prediction of Intensive Care Unit Length of Stay in the MIMIC-IV Dataset
Lars Hempel, Sina Sadeghi, Toralf Kirsten. Applied Sciences, 2023. Cites: paper

Prognostic value of inflammatory markers for in-hospital mortality in intensive care patients with acute ischemic stroke: a retrospective observational study based on MIMIC-IV
Xuyang Hu, Jiaru Liang, Wenjian Hao et al. Frontiers in Neurology, 2023. Cites: dataset

Pre-intensive care unit use of selective serotonin reuptake inhibitors and mortality in critically ill adults with mental disorders: analysis from the MIMIC-IV database
Wan‐Jie Gu, Luming Zhang, Chun‐Mei Wang et al. Translational Psychiatry, 2023. Cites: dataset

Multimodality Video Acquisition System for the Assessment of Vital Distress in Children
Vincent Boivin, Mana Shahriari, Gaspar Faure et al. Sensors, 2023. Cites: paper

The impact of ChatGPT and LLMs on medical imaging stakeholders: Perspectives and use cases
Jiancheng Yang, Hongwei Li, Donglai Wei. Meta-Radiology, 2023. Cites: paper

HEART RATE VARIABILITY PARAMETERS WERE NOT ASSOCIATED WITH 30-DAY ALL-CAUSE MORTALITY IN INTENSIVE CARE UNIT PATIENTS WITH OR WITHOUT ATRIAL FIBRILLATION: A RETROSPECTIVE STUDY OF THE MIMIC-IV DATABASE
Sheran Li, Qiyu Yang, Peiyu Wu et al. Shock, 2023. Cites: paper

OpenDataPsy: An Open-Data Repository with Standardized Storage and Description for Research in Psychiatry
Chloé Saint‐Dizier, Antoine Lamer, Majda Zaanouar et al. Studies in health technology and informatics, 2023. Cites: dataset

Risk stratification based on acute-on-chronic liver failure in cirrhotic patients hospitalized for acute variceal bleeding
Zongyi Zhu, Huiqing Jiang. BMC Gastroenterology, 2023. Cites: dataset

A Simple Nomogram for Predicting Hospital Mortality of Patients Over 80 Years in ICU: An International Multicenter Retrospective Study
Chao Liu, Xiaoli Liu, Mei Hu et al. The Journals of Gerontology Series A, 2023. Cites: paper

Ondansetron: recommended antiemetics for patients with acute pancreatitis? a population-based study
Ge Wu, Yifei Ma, Wanzhen Wei et al. Frontiers in Pharmacology, 2023. Cites: dataset

Enhancing Fairness and Accuracy in Diagnosing Type 2 Diabetes in Young Population
Tanmoy Sarkar Pias, Yiqi Su, Xuxin Tang et al. medRxiv, 2023. Cites: paper

Prognostic impact of in-hospital hemoglobin decline in non-overt bleeding ICU patients with acute myocardial infarction
Pengfei Li, Meixiang Chen, Yuekang Huang et al. BMC Cardiovascular Disorders, 2023. Cites: dataset

Association between base excess and 28-day mortality in sepsis patients: A secondary analysis based on the MIMIC- IV database
Jia Yuan, Xu Liu, Ying Liu et al. Heliyon, 2023. Cites: paper

Can Artificial Intelligence Enhance Syncope Management?
Giselle M. Statz, Aron Z. Evans, Samuel L. Johnston et al. JACC Advances, 2023. Cites: paper

Addressing the Challenge of Biomedical Data Inequality: An Artificial Intelligence Perspective
Yan Gao, Teena Sharma, Yan Cui. Annual Review of Biomedical Data Science, 2023. Cites: paper

Acute heart failure patients with a high red blood cell distribution width-to-albumin ratio have an increased risk of all-cause mortality
Shiwei Wang, Qiang Feng Xiao, Quanqiang Lin et al. medRxiv, 2023. Cites: paper

Prediction of long-term mortality in patients with ischemic stroke based on clinical characteristics on the first day of ICU admission: An easy-to-use nomogram
Guangyong Jin, Wei Hu, Longhuan Zeng et al. Frontiers in Neurology, 2023. Cites: dataset

Foundation models for generalist medical artificial intelligence
Michael Moor, Oishi Banerjee, Zahra Shakeri Hossein Abad et al. Nature, 2023. Cites: paper

Differentiation of Fungal, Viral, and Bacterial Sepsis using Multimodal Deep Learning
Aaron E. Boussina, Karthik S. Ramesh, Himanshu Arora et al. medRxiv, 2023. Cites: dataset

Artificial intelligence for clinical decision support for monitoring patients in cardiovascular ICUs: A systematic review
Sobhan Moazemi, Sahar Vahdati, Jason Li et al. Frontiers in Medicine, 2023. Cites: paper

Real-Time Prediction of Sepsis in Critical Trauma Patients: Machine Learning–Based Modeling Study
Jiang Li, Fengchan Xi, Wenkui Yu et al. JMIR Formative Research, 2023. Cites: paper

Development and validation of a prediction model for the early occurrence of acute kidney injury in patients with acute pancreatitis
Simin Wu, Qin Zhou, Yang Cai et al. Renal Failure, 2023. Cites: paper

ANALYSIS OF THE RELATIONSHIP BETWEEN EARLY SERUM PHOSPHATE LEVELS AND SHORT-TERM MORTALITY IN SEPTIC PATIENTS: A RETROSPECTIVE STUDY BASED ON MIMIC-IV
Xin Ping Xu, Litao Zhang, Wei Liu et al. Shock, 2023. Cites: dataset

Gender difference of primary Sjögren’s Syndrome in a Chinese cohort: Why do women suffer more?
Jincheng Pu, Ronglin Gao, Shuqi Zhuang et al. Research Square, 2023. Cites: dataset

Costs, quality-adjusted life years, and value-of-information of different thresholds for the initiation of invasive ventilation in hypoxemic respiratory failure
Christopher J. Yarnell, Kali A Barrett, Anna Heath et al. medRxiv, 2023. Cites: dataset

Co-design of Human-centered, Explainable AI for Clinical Decision Support
Cecilia Panigutti, Andrea Beretta, Daniele Fadda et al. ACM Transactions on Interactive Intelligent Systems, 2023. Cites: dataset

NN50 and pNN50, two time-domain heart rate variability parameters were associated with 30-day all-cause mortality in patients admitted to intensive care unit: A Retrospective Study of the MIMIC-IV Database
Sheran Li, Qiyu Yang, Peiyu Wu et al. medRxiv, 2023. Cites: paper

Rehabilomics: A state-of-the-art review of framework, application, and future considerations
Wenyue Cao, Xiuwei Zhang, Huaide Qiu. Frontiers in Neurology, 2023. Cites: dataset

MOVER: Medical Informatics Operating Room Vitals and Events Repository
Muntaha Samad, Joseph B. Rinehart, Mirana Angel et al. medRxiv, 2023. Cites: dataset, paper

Unsupervised EHR ‐based phenotyping via matrix and tensor decompositions
Florian Becker, Age K. Smilde, Evrim Acar. Wiley Interdisciplinary Reviews Data Mining and Knowledge Discovery, 2023. Cites: dataset

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

CLINICAL PHENOTYPES OF SEPSIS-ASSOCIATED ENCEPHALOPATHY: A RETROSPECTIVE COHORT STUDY
Xin Biao Lu, Mubing Qin, Joseph Harold Walline et al. Shock, 2023. Cites: dataset

Co-expression and interaction network analysis reveals dysregulated neutrophil and T-cell activation as the core mechanism associated with septic shock
Shaobo Zhao, Kun Zhu, Xiaoyi Li et al. Frontiers in Genetics, 2023. Cites: dataset

Oxygenation thresholds for invasive ventilation in hypoxemic respiratory failure: a target trial emulation in two cohorts
Christopher J. Yarnell, Federico Angriman, Bruno Leonel Ferreyro et al. Critical Care, 2023. Cites: dataset

Mind the gap: Measured and Calculated Osmolarity are Not Interchangeable in Diabetic Hyperglycemic Emergencies
Sebastiaan Paul Blank, Ruth Miriam Blank. Experimental and Clinical Endocrinology & Diabetes, 2023. Cites: dataset

A nomogram for predicting prognosis in patients with acute respiratory distress syndrome (ARDS) and acute renal injury (AKI): A retrospective cohort study
Xueshu Yu, Xianwei Zhang, Wen Xu et al. Research Square, 2023. Cites: dataset

Evaluate prognostic accuracy of SOFA component score for mortality among adults with sepsis by machine learning method
Xiaobin Pan, Jinbao Xie, Lihui Zhang et al. BMC Infectious Diseases, 2023. Cites: dataset

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

Prognostic implication of lactic dehydrogenase-to-albumin ratio in critically ill patients with acute kidney injury
Yonghua Deng, Xinchun Li, Qiancheng Lai et al. Clinical and Experimental Nephrology, 2023. Cites: paper

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