Publications citing MIMIC-IV v3.1

Effect of Weight-based versus Absolute Norepinephrine Dosing on Mortality Risk in Obese Patients with Septic Shock: An Observational, Multicohort, Retrospective Study
Pedro David Wendel‐Garcia, Sebastian Morales, Sascha David et al. Anesthesiology, 2026. Cites: paper

Heterogeneous Treatment Effect for Targeted Temperature Management After Cardiac Arrest: A Causal Machine Learning Analysis
Michel Brandao Raskin, Isalis Karhu-Leperd, Carl Harris et al. medRxiv, 2026. Cites: paper

Impact of the updated SOFA-2 score on sepsis diagnosis and prognosis: a retrospective multicenter cohort study
Haibo Zhu, Peirong Li, Bing Wang et al. Critical Care, 2026. Cites: paper

Calibration Drift Under Cross-Institutional Deployment: An External Validation Framework for ICU Mortality Prediction Across MIMIC-IV and eICU
Krutarth Patel, Phanindra Beedala. Research Square, 2026. Cites: paper

Leading organ-failure phenotype and subsequent new-onset atrial fibrillation in prolonged ICU stays: derivation in MIMIC-IV and external validation in eICU-CRD
Hasan Burak İşleyen, Sevil Tuğrul Yavuz, S. Bulut et al. Research Square, 2026. Cites: paper

Noise in Brazilian Clinical Anamnesis: An Empirical Study
Leandro A. Carvalho, Thiago Mikael da Silva Oliveira, Flávio R. C. Sousa et al. Anais do Simpósio Brasileiro de Sistemas de Informação (SBSI), 2026. Cites: paper

Solving Emergency Department Triage with Small Language Models: Why Large Commercial Models Fail and How Specialized Training Achieves Clinical Accuracy
Vadim Belski, Kate Lukina. medRxiv, 2026. Cites: paper

Age-Stratified ICU Mortality Is Systematically Miscalibrated in Published Clinical Estimates: Cross-Validated Evidence from 201,905 Encounters Across Two Independent Datasets
Adam Dickens. Research Square, 2026. Cites: paper

Development and external validation of a machine learning model for predicting 28-day mortality in ICU patients with acute coronary syndrome complicated by heart failure
Wencai Jiang, Longzhou Chen, Yucai Tang et al. Research Square, 2026. Cites: paper

Early Sepsis Prediction in ICU Patients Using Deep Learning: A Comparative Modeling Study of Transformer, TAGF, CNN–BiLSTM, and XGBoost
Sania Parveen¹, Sanjana Sanjana¹, Sakshi Sakshi¹ et al. Research Square, 2026. Cites: paper

Large Language Model Driven Clinical Knowledge Graph Enhancing Medical Decision Accuracy
Abhishek Gokula. International Conference on Signal, Systems, and Computing for Next-Gen Automation (ICSSCNA), 2026. Cites: paper

LLM-generated Schema Matching with Formally Verifiable Explanations
Dante Pinto, Len Feremans, Frank Neven et al. IEEE International Conference on Data Engineering Workshops (ICDEW), 2026. Cites: paper

Prediction of early mortality in acute pancreatitis using arterial base excess: an international multicenter cohort study
Yuping Ren, Y Zhang, Liang Xia et al. Clinica Chimica Acta, 2026. Cites: paper

A Bedside Coagulation-Platelet Tipping Point for Mortality in Nontraumatic Subarachnoid Hemorrhage
Shaohuai Xia, Jing Wu, Ce Wang et al. Journal of Multidisciplinary Healthcare, 2026. Cites: paper

Beyond Imputation: A Semantic Unification Framework for Data and its Missingness in Multimodal Healthcare Analytics
Chaohe Zhang, Liantao Ma, Shiwei Lyu et al. IEEE International Conference on Data Engineering (ICDE), 2026. Cites: paper

SaCal: An Efficient Saliency-Guided Causal Framework for Interpretable Healthcare Analytics
Feixuan Lin, Chenyu You, Zhongle Xie et al. IEEE International Conference on Data Engineering (ICDE), 2026. Cites: paper

Mood disorders and incident ICU delirium: Distinct risk profiles across clinical subgroups and diagnostic subtypes
Chang‐Chih Tsou, Dong-Wei Yang, Hung-Wen Chen. General Hospital Psychiatry, 2026. Cites: paper

Optimizing healthcare resources in pyogenic liver abscess: a dual-threshold HDL-CRP model for predicting hospitalization duration across multi-cohorts
Mingzhu Tao, Muye Xia, Suling Chen et al. Frontiers in Medicine, 2026. Cites: paper

Blood pressure response index trajectories identify distinct hemodynamic phenotypes and predict mortality in septic shock: a two-database retrospective cohort study
Yongshi Shen, W M Zhang, Kangni Lin et al. Critical Care, 2026. Cites: paper

MedSDoH: A Rule-Based System for Extracting Social Determinants of Health from Multi-site EHRs Based on the OHNLP Framework
Jaerong Ahn, Sunyang Fu, Daniel Palacios et al. medRxiv, 2026. Cites: paper

Advancing Medical Document Classification: A Systematic Survey of Large Language Model Approaches, Challenges, and Future Direction
Aya Ghazouani, Mohamed Ghaith Ayadi, Hadhémi Achour. Intelligence in Business and Industry (IBI), 2026. Cites: paper

Association between triglyceride–glucose index and vascular dementia in ICU patients with cerebrovascular disease: a retrospective study based on the MIMIC-IV database
Xu Liu, Hua Xu, Xiuyan Han et al. BMC Neurology, 2026. Cites: paper

Early enteral nutrition and dynamic metabolic-inflammatory trajectories in sepsis: a retrospective cohort study
Jing Zhou, Kunping Cui, Quanxiu Tang et al. Frontiers in Medicine, 2026. Cites: paper

PhenoNMF: A novel multi-layer matrix factorization framework for age-stratified comprehensive phenotypic similarity analysis
Yutong Dai, Wanzhe Xu, Yitao Yang et al. BMC Medical Informatics and Decision Making, 2026. Cites: paper

AgentClinic: a multimodal benchmark for tool-using clinical AI agents
Samuel Schmidgall, Rojin Ziaei, Carl Harris et al. npj Digital Medicine, 2026. Cites: paper

Association of lactate dehydrogenase to albumin ratio with new-onset acute respiratory distress syndrome and all-cause mortality in patients with sepsis: a retrospective cohort study based on the MIMIC-IV database
Xueli Yan, Dingshun Zhang, Xiahui Zhou et al. BMC Infectious Diseases, 2026. Cites: paper

Automatic radiology report generation: a systematic review of emerging AI architectures and multimodal technologies
Moustapha Boubacar Hamma, Zakariae Alami Merrouni, Bouchra Frikh et al. Artificial Intelligence Review, 2026. Cites: paper

Mechanical power trajectories and 28-day mortality in patients with sepsis receiving invasive mechanical ventilation: a retrospective multidatabase cohort study
Yingying Lu, Xinyi Zhang, Qing Zhu et al. European journal of medical research, 2026. Cites: paper

Predicting 28-day and 90-day mortality in microbiologically-confirmed sepsis: a retrospective cohort study
Zhu Lin, Nahui Li, Haisheng Liu et al. BMC Infectious Diseases, 2026. Cites: paper

Relationship between systolic blood pressure variability and the incidence of postoperative atrial fibrillation after cardiac surgery: a machine learning-based retrospective cohort study
Zichun Wei, Fuxu Wang, Siyu Wang et al. International Journal of Surgery, 2026. Cites: paper

SOFA-2 score predicts mortality in pneumonia-associated sepsis: a retrospective cohort study
Shuxing Wei, Tianyu Wang, Chenxi Li et al. Critical Care, 2026. Cites: paper

Statistical Analysis of Factors Influencing Blood Oxygen Saturation in Patients During Oxygen Therapy
Danylo Yarosh, Yevgeniy Karplyuk, Yuriy Vountesmery. IEEE International Conference on Electronics and Nanotechnology (ELNANO), 2026. Cites: paper

UniRiskP: Multimodal fusion-based in-hospital mortality prediction and phenotyping
Xingjian Zhang, Na Li, Chunyan Tang et al. Journal of King Saud University - Computer and Information Sciences, 2026. Cites: paper

Federated Clinical Learning Cooperative (FCLC)
Jaba Tkemaladze. Longevity Horizon, 2026. Cites: paper

Distributed Learning for ICU Length-of-Stay Prediction: A Comparative Study of FedAvg vs D-PSGD Using MIMIC-IV
H. Ridhwan, K Hassan, H Hashim. IEEE Symposium on Computer Applications & Industrial Electronics (ISCAIE), 2026. Cites: paper

Synergizing gradient boosting and patient similarity: A hybrid interpretable framework for ICU length-of-stay prediction
Mohammad Tanhaei. Machine Learning with Applications, 2026. Cites: paper

The impact of early statin use on the risk of acute kidney injury in septic patients in the ICU: analysis of the MIMIC-IV database
C Xu, Yue Wang, Zeyu Bao et al. BMC Nephrology, 2026. Cites: paper

Assessing the albumin–bilirubin score’s role in predicting the mortality rate of severe acute pancreatitis: A multicenter retrospective cohort study
Baiyan Xu, Huizhong Chen, Tingting Xu et al. Medicine, 2026. Cites: paper

Combined Association of the Fibrinogen-to-Albumin Ratio and the Uric Acid-to-Albumin Ratio with Mortality in Critically Ill Patients with Acute Kidney Injury Receiving Continuous Renal Replacement Therapy: A Retrospective Cohort Study
Jun Shang, Li Wei, S M Chen et al. Journal of Clinical Medicine, 2026. Cites: paper

Dynamic variability of serum sodium, potassium, and calcium and mortality after acute myocardial infarction: insights from traditional and machine learning approaches
Leilei Xia, Linglong Chen, Zao Jin et al. BMC Cardiovascular Disorders, 2026. Cites: paper

Enhancing Large Language Models for Identifying and Prioritizing Important Medical Jargons From Electronic Health Record Notes Using Data Augmentation: Comparative Study
Won Seok Jang, Sharmin Sultana, Zonghai Yao et al. JMIR AI, 2026. Cites: paper

Heart-rate-derived variability measures and in-hospital mortality in critically ill patients with heart failure and atrial fibrillation: insights from the MIMIC-IV database
Chen Wang, Han Chen, Jian Ye et al. BMC Cardiovascular Disorders, 2026. Cites: paper

HEDGES-Driven DNA Cold Storage Architecture for Regulation-Grade Healthcare Archives
Sargu Chandra Prakash, Kabita Thaoroijam. International Conference on Innovations in Computational Intelligence (ICICI), 2026. Cites: paper

Initial intra-aortic balloon pump versus Impella support strategies and short-term outcomes in acute myocardial infarction complicated by cardiogenic shock: a MIMIC-IV cohort study
Hao Li, Yuke Ma, Yang Su. BMC Cardiovascular Disorders, 2026. Cites: paper

Neuro-symbolic artificial intelligence for real-time sepsis mortality prediction
Fabrizio De Santis, Gyunam Park, Francesco Zanichelli. Engineering Applications of Artificial Intelligence, 2026. Cites: paper

On the generation of 12-channel electrocardiograms based on a hybrid of diffusion and graph neural network models
Evgeniy Schetinin, Anna V. Pestryakova, Julia Georgievna Shatalova et al. VESTNIK OF ASTRAKHAN STATE TECHNICAL UNIVERSITY SERIES MANAGEMENT COMPUTER SCIENCE AND INFORMATICS, 2026. Cites: paper

Prediction Pipeline Selection for Incomplete Clinical Data via Missingness Fingerprints and Instance Augmentation
Runze Li, Zhuyi Shen, Chengkai Wu et al. Bioengineering, 2026. Cites: paper

Pre-Registered Causal Audit of Multi-Provider LLM Validator Consensus on an EHR-Derived Medication Benchmark: Answer-Position Effects, Pool-Level Biases, and a Two-Physician Pilot (Preprint)
Aman Kumar Sharma. 2026. Cites: paper

Prognostic value of stress hyperglycemia ratio, hemoglobin glycation index, and glycemic variability for postoperative atrial fibrillation: a machine learning-based prediction model
Runjia Liu, Chenglong Yao, Hongfan Qiu et al. BMC Medical Informatics and Decision Making, 2026. Cites: paper

The prognostic value of hemoglobin-to-albumin ratio in critically ill patients with atrial fibrillation: A retrospective cohort study
Yinghan Sun, Yuxiao Zhai, Hongyi Cai et al. Medicine, 2026. Cites: paper

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