Cited by

MIMIC-IV (v3.1)

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3604 publications cite any version of this project or its primary paper, newest first.

• Stress hyperglycemia ratio as a predictor of acute kidney injury and its outcomes in critically ill patients
  Yingxin Lin, Sheng Zhang, Zeling Chen et al. Renal Failure, 2025. Cites: paper
• Serum albumin corrected anion gap levels are associated with poor prognosis in patients with acute ischemic stroke
  Yaxin Zhang, Fan Wu, Jiawei Sun et al. Scientific Reports, 2025. Cites: paper
• Association of early dexmedetomidine administration with the risk of ARDS in sepsis patients during ICU stay: Results from MIMIC-IV
  Fei Pang, Wei Xu, Lingjun Guo et al. The American Journal of the Medical Sciences, 2025. Cites: paper
• Explainable machine learning model for prediction of 28-day all-cause mortality in immunocompromised patients in the intensive care unit: a retrospective cohort study based on MIMIC-IV database
  Zaixin Yu, Lexin Fang, Yueping Ding. European journal of medical research, 2025. Cites: paper
• Impact of No Anticoagulation, Citrate Anticoagulation, and Heparin Anticoagulation on CRRT Outcomes in Patients with Hyperlactatemia: A Retrospective Cohort Study
  Yaxin Xiong, Xiqing Luo, Jianpeng Wang et al. Blood Purification, 2025. Cites: paper
• OmniNet: an expandable causal inference network for multiple modalities
  Yinuo Zhou, Georgios Leontidis, Mingjun Zhong. Neural Computing and Applications, 2025. Cites: dataset
• Determining the ground truth for the prediction of delirium in adult patients in acute care: a scoping review
  Lili M. Schoeler, Lisa Graf, Antti Airola et al. JAMIA Open, 2025. Cites: paper
• L-Shaped Association of 24-Hour Urine Output with 3-Month and 1-Year All-Cause Mortality in Patients with Acute Pulmonary Embolism: A Retrospective Cohort Study
  Chaowei Ding, Yuhan Chen, Yanhong Xu et al. Journal of Atherosclerosis and Thrombosis, 2025. Cites: paper
• Unveiling the role of stress hyperglycemia in predicting mortality for critically ill hemorrhagic stroke patients: insights from MIMIC-IV
  Yong Gang Yue, Pengcheng Li, Zhengyu Sun et al. Frontiers in Endocrinology, 2025. Cites: paper
• A novel nomogram for predicting the risk of coronary atherosclerosis in patients with gastroesophageal reflux disease
  Ziyang Wu, Dong Wang, Chengchun Tang. Arab Journal of Gastroenterology, 2025. Cites: paper
• Association Between Lactate-to-Albumin Ratio and 28-Day All-Cause Mortality in Critical Care Patients with COPD: Can Both Arterial and Peripheral Venous Lactate Serve as Predictors?
  Kelan Zhao, Linshui Zhou, Yuan Ni et al. International Journal of COPD, 2025. Cites: paper
• Association between the TyG index and the risk of in-hospital mortality from early sepsis-related acute kidney injury in critically ill patients: a secondary analysis of MIMIC-IV 2008–2022
  Chengyi Feng, Xin Li, Zifang Fan et al. BMJ Open, 2025. Cites: paper
• A systematic review of automated International Classification of Diseases coding models using the Medical Information Mart for Intensive Care dataset
  Ying Zhang, Chen Lyu, Lu Chang et al. Digital Health, 2025. Cites: paper
• Construction and validation of a mortality prediction model for patients with sepsis-associated encephalopathy: Interpretable machine learning approach
  Ziyi Wang, Lingling Ge, Yongkui Zhu et al. Digital Health, 2025. Cites: paper
• Developing a predictive model for septic shock risk in acute pancreatitis patients using interpretable machine learning algorithms
  Binglin Song, Ping Liu, Kangrui Fu et al. Digital Health, 2025. Cites: paper
• Geriatric Nutritional Risk Index as a Predictor of Delirium and Pressure Injuries in Critically Ill Older Patients With Ischaemic Stroke: An Observational Cohort Study
  Dong Wang, Ankang Liu, Xiaoru Liang et al. Nursing in Critical Care, 2025. Cites: paper
• Integrating Multimodal EHR Data for Mortality Prediction in ICU Sepsis Patients
  Yi Wang, Weihua Li. Statistics in Medicine, 2025. Cites: paper
• Interpretable machine learning models for predicting in-hospital mortality in patients with chronic critical illness and heart failure: A multicenter study
  Min He, Yongqi Lin, Siyu Ren et al. Digital Health, 2025. Cites: paper
• Lactate dehydrogenase-to-albumin ratio as a predictor of 28-day mortality in critically Ill patients with gastrointestinal cancers: Insights from machine learning and the Medical Information Mart for Intensive Care IV database
  Xinyi Chen, Yuwen Cai, Xianglin Yuan. Digital Health, 2025. Cites: paper
• Learning-based early detection of post-hepatectomy liver failure using temporal perioperative data: a nationwide multicenter retrospective study in China
  Kai Wang, Qian Yang, Kang Li B et al. EClinicalMedicine, 2025. Cites: paper
• Semisupervised D‐Learning for Optimal Individualized Treatment Regimes
  Xintong Li, Shuyi Zhang, Yong Zhou. Stat, 2025. Cites: paper
• Use of Large Language Models in Clinical Cancer Research
  Kenneth L. Kehl. JCO Clinical Cancer Informatics, 2025. Cites: paper
• Using a transformer language model to curate a pulmonary embolism dataset from the Medical Information Mart for Intensive Care IV: MIMIC-IV-Ext-PE
  Barbara D. Lam, Shengling Ma, Iuliia Kovalenko et al. Research and Practice in Thrombosis and Haemostasis, 2025. Cites: paper
• Classification of postoperative fever patients in the intensive care unit following intra-abdominal surgery: a machine learning-based cluster analysis using the Medical Information Mart for Intensive Care (MIMIC)-IV database, developed in the United States
  Sang Mok Lee, Hongjin Shim. Acute and Critical Care, 2025. Cites: paper
• Decoding Natural Language Processing and Large Language Models in Kidney Health
  Hailey E. Yetman, Lili Chan. Clinical Journal of the American Society of Nephrology, 2025. Cites: paper
• Dexmedetomidine Reduces Chronic Stress–Related Thrombosis in a Mouse FeCl 3 Model
  Huazhen Wang, Meiping Zhang, Minglong Xin et al. The FASEB Journal, 2025. Cites: paper
• Factors influencing short-term and long-term survival rates in stroke patients receiving enteral nutrition: a machine learning approach using MIMIC-IV database
  Xuehui Fan, Can He, Jing Xu et al. BMC Neurology, 2025. Cites: paper
• Interethnic validation of electrocardiogram image analysis software for detecting left ventricular dysfunction in an emergency department population
  Haemin Lee, Woon Yong Kwon, Kyoung Jun Song et al. Clinical and Experimental Emergency Medicine, 2025. Cites: dataset, paper
• The WBC/HDL ratio outperforms other lipid profiles in predicting mortality among ischemic stroke patients: a retrospective cohort study using MIMIC-IV data
  Li Juan Zou, Dong Sun, Lei Zhang et al. Frontiers in Neurology, 2025. Cites: paper
• Advanced lung cancer inflammation index is associated with mortality in critically ill patients with non-traumatic cerebral hemorrhage
  Peng Zhong, Xiuyang Chen, Peng Miao et al. Scientific Reports, 2025. Cites: paper
• Association between estimated plasma volume status and the risk of 30-day mortality in patients with severe acute pancreatitis: a retrospective study based on the MIMIC-IV database
  Haibo Zhang, Jiebin Li, Dawei Wang et al. BMC Gastroenterology, 2025. Cites: paper
• Beyond Sequential Patterns: Rethinking Healthcare Predictions with Contextual Insights
  Chuang Zhao, Hui Tang, Hongke Zhao et al. ACM Transactions on Information Systems, 2025. Cites: paper
• Development and validation of a nomogram for predicting survival in patients with cardiogenic shock
  Dingfeng Fang, Huihe Chen, Hui Geng et al. Frontiers in Cardiovascular Medicine, 2025. Cites: dataset, paper
• Simultaneous forecasting of vital sign trajectories in the ICU
  Rosemary He, Jeffrey N. Chiang. Scientific Reports, 2025. Cites: paper
• Association between blood urea nitrogen to serum albumin ratio and in-hospital mortality of patients with chronic obstructive pulmonary disease in the intensive care unit: a retrospective cohort study
  Rui Ren, Yushan Shi, Yanmei Zhang. Egyptian Journal of Bronchology, 2025. Cites: paper
• Association between osmolality trajectories and mortality in patients with sepsis: a group-based trajectory model in large ICU open access databases
  Yipeng Fang, Xuejun Shen, Aizhen Dou et al. Frontiers in Medicine, 2025. Cites: paper
• Exploring the implementation of federated learning in healthcare: a comprehensive review
  Amjad A. Hudaib, Nadim Obeid, Amjad Albashayreh et al. Cluster Computing, 2025. Cites: dataset
• Identification and Validation of an Explainable Prediction Model of Sepsis in Patients With Intracerebral Hemorrhage: Multicenter Retrospective Study
  Xianglin Liu, Zhihua Huang, Yizhi Guo et al. Journal of Medical Internet Research, 2025. Cites: paper
• An interpretable machine learning model for predicting mortality risk in adult ICU patients with acute respiratory distress syndrome
  Wanyi Li, Hangyu Zhou, Yingxue Zou. Frontiers in Medicine, 2025. Cites: paper
• Development and external validation of a prediction model for prolonged intensive care unit stay in heart failure patients
  Erming Yang, Xingyue He, Linbo Li et al. European Journal of Cardiovascular Nursing, 2025. Cites: paper
• Physical Restraint Use in a US Intensive Care Setting – Protocol for a retrospective cross-sectional analysis using the MIMIC-IV repository
  Maximin Lange, Leo Anthony Celi, Ben Carter et al. medRxiv, 2025. Cites: dataset
• Ultralow‐Dimensionality Reduction for Identifying Critical Transitions by Spatial‐Temporal PCA
  Pei Chen, Yaofang Suo, Kazuyuki Aihara et al. Advanced Science, 2025. Cites: paper
• ProtHGT: Heterogeneous Graph Transformers for Automated Protein Function Prediction Using Biological Knowledge Graphs and Language Models
  Erva Ulusoy, Tunca Doğan. bioRxiv (Cold Spring Harbor Laboratory), 2025. Cites: paper
• The relationship between hemoglobin glycation index and all-cause mortality in ill critically patients with heart failure: a retrospective study in MIMIC-IV database
  Yulong Wang, Shanshan Tang, Haokun Liu et al. BMC Cardiovascular Disorders, 2025. Cites: paper
• Thiamine administration and in-hospital mortality in patients with traumatic brain injury: analysis of the MIMIC-IV database
  Shuang‐Qi Gao, Zhendan Zhu, Wenhan Zheng. Frontiers in Neurology, 2025. Cites: paper
• Why Is Primary Care Different? Considerations for Machine Learning Development with Electronic Medical Record Data
  Jacqueline Kathleen Kueper, Winston R. Liaw, Daniel J. Lizotte et al. NEJM AI, 2025. Cites: paper
• Association of acute kidney injury with 1-year mortality in granulomatosis with polyangiitis patients: a cohort study using mediation analyses and machine learning
  Si Chen, Rui Nie, Haixia Luan et al. Rheumatology International, 2025. Cites: dataset, paper
• Development and Validation of a Dynamic Real-Time Risk Prediction Model for Intensive Care Units Patients Based on Longitudinal Irregular Data: Multicenter Retrospective Study
  Zhuo Qun Zheng, Jiawei Luo, Yingchao Zhu et al. Journal of Medical Internet Research, 2025. Cites: paper
• Development and validation of the discharge severity index for post-emergency department hospital readmissions
  Norawit Kijpaisalratana, Abdel-Badih Ariss, Adi Balk et al. The American Journal of Emergency Medicine, 2025. Cites: paper
• Impact of the Geriatric Nutritional Risk Index on short-term prognosis of patients with sepsis-related acute kidney injury: analysis using the MIMIC-IV database
  Kailun Cai, Wenchao Mao, Mingkun Yang et al. BMC Nephrology, 2025. Cites: paper

Citation data from OpenAlex, updated weekly. Papers that use the project without citing it may be missing.