Publications citing MIMIC-III Clinical Database Demo v1.4

Debiased medication recommendation through fusing frequent pattern and temporal medical records
Xiaobo Li, Xiaodi Hou, Simiao Wang et al. Neural Networks, 2026. Cites: paper

External Validation, Recalibration, and Extension of a Prediction Model of Early Acute Kidney Injury in Critically Ill Children Using Multicenter Data
Adam C. Dziorny, Stephen Drury, Alex Clark et al. Critical Care Explorations, 2026. Cites: paper

Relational Deep Learning for Clinical Outcomes
Natalija Naseva, Martina Toshevska, Sonja Gievska. International Convention on Information and Communication Technology, Electronics and Microelectronics, 2026. Cites: paper

Labels matter: Incorporating label knowledge into dual branch knowledge distillation framework for long-tailed ICD code assignment
Linkun Cai, Haijun Niu, Han Lv et al. Information Processing & Management, 2026. Cites: paper

Phenotype discovery and mortality prediction in sepsis-induced myocardial dysfunction: a deep learning and stratified modeling approach
Yan Zhuang, Xin-yuan Zhang, Da-cheng Wang et al. BMC Medical Informatics and Decision Making, 2026. Cites: paper

Adaptive ETL Orchestration for Biomedical Data Streams Using Reinforcement Learning
Bogdan Nicuşor Bindea, Calin Ovidiu Cenan, Gratiana Hermann et al. IEEE International Conference on Automation, Quality and Testing, Robotics (AQTR), 2026. Cites: paper

ATBiGRU: an interpretable temporal model for in-hospital mortality prediction in acute kidney injury
Y Anita Li, Shuaishuai Li, Xia Wang. Computer Methods in Biomechanics & Biomedical Engineering, 2026. Cites: paper

Hyperbaric oxygen in the artificial intelligence era: integration and innovation
Francisco Epelde. Medical Gas Research, 2026. Cites: paper

Medical text generation and classification using large language models: A feasibility study in ophthalmology
Trixy Meyer, Tobias Schlosser, Sara Moniri et al. Engineering Applications of Artificial Intelligence, 2026. Cites: paper

Disease and Health Surveillance in Companion Animals Using Artificial Intelligence and Machine Learning
Peter‐John M. Noble, Sean Farrell. Veterinary Clinics of North America Small Animal Practice, 2026. Cites: paper

Multicenter machine learning model for assessing the impact of malignancy on in-hospital mortality in heart failure patients: a clinical decision support system with interpretable artificial intelligence
Tao Zhang, Zihan Nan, Shaohan Guo et al. Scientific Reports, 2026. Cites: paper

Pareto-optimal estimation and policy learning for balancing short-term and long-term outcomes
Yingrong Wang, Anpeng Wu, Haoxuan Li et al. Neural Networks, 2026. Cites: paper

Privacy-Preserving Machine Learning Models for Secure Drug Delivery Data Management in Clinical Systems
Thamaraiselvan A., K Saravanan. International Journal of Drug Delivery Technology, 2026. Cites: paper

Structured vital sign prediction in hospital environments via an Al-Biruni earth radius optimization–driven unified metaheuristic framework
Sarah A. Alzakari, Marwa M. Eid, Amel Ali Alhussan et al. Scientific Reports, 2026. Cites: paper

Knowledge distillation for TBI prognosis: Addressing feature mismatch in heterogeneous clinical datasets
Shuaixun Wang, Martyn G. Boutelle. Computer Methods and Programs in Biomedicine, 2026. Cites: paper

Trustworthy LLM-Embedding Clinical Prediction: Calibrating Confidence and Transparency for Foundation Model-Based Disease Risk Scores
Yunguo Yu. Research Square, 2026. Cites: paper

Agreement between heuristic shrinkage factor and optimal shrinkage factors in logistic regression for risk prediction: a simulation study across different sample sizes and settings
Alexander Pate, Glen Philip Martin, Richard D Riley. Diagnostic and Prognostic Research, 2026. Cites: paper

Clinical sentiment analysis of ICU notes: a dataset and a comparison of lexicon and clinical language model methods
Shahad Nagoor, Lucy Hederman, Kevin Koidl et al. BMC Medical Informatics and Decision Making, 2026. Cites: paper

A Clinical Decision Support System for Post-Surgical Cardiovascular Remote Monitoring
Charalampia Pylarinou, Efstratios N. Koletsis, Francesk Mulita et al. Clinics and Practice, 2026. Cites: paper

An Evaluation of Pretrained Generative Models for Augmenting Small Health Data: Comparative Modeling Study
Margerie Huet‐Dastarac, Fida K. Dankar, Dan Liu et al. Journal of Medical Internet Research, 2026. Cites: paper

A physiology-guided temporal graph learning approach for intensive care mortality prediction
Jeethu Joseph, M. V. Judy. Healthcare Analytics, 2026. Cites: paper

PatientTrackFusion: A Continuous Monitoring Framework for Personalized Healthcare in Smart Environments
Aswathy Prakash G, P. Vishal, S.R. Prasanna Baalaji et al. International Conference on Computational Robotics, Testing and Engineering Evaluation (ICCRTEE), 2026. Cites: paper

Blood biomarker trajectories in ICU-directed prediction models – A scoping review
Cristiana P. Von Rekowski, Tiago A. H. Fonseca, Rúben Araújo et al. The EPMA Journal, 2026. Cites: paper

CDMed: Medication Recommendation via Causal Inference and Dual-Granularity Information Enhancement
J S Liu, Haitao Wang, Jianfeng He. Electronics, 2026. Cites: paper

Deep-learning time-series anomaly detection of acute kidney injury from creatinine–eGFR trajectories in the ICU
Yoonjin Kang, Soojeong Yun, Seung Min Song et al. PLOS Digital Health, 2026. Cites: paper

Design of a Lightweight Collaborative Risk Prediction Framework for ICUs: Optimizing Clinical Workflows via Core ABG Dynamic Analysis
Chonglin Zhao, Jinwei Ye, Weibin Kong et al. International Conference on Computer Supported Cooperative Work in Design (CSCWD), 2026. Cites: paper

Adversarial Robust Federated Learning for Secure Mortality Risk Prediction using Multi-Institutional Electronic Health Records (EHRs)
Saswati Chatterjee, Suneeta Satpathy. Journal of Visualized Experiments, 2026. Cites: paper

Automated Medical Document Intelligence for Health Insurance Processing
Nitesh Yadav, Pooja Sharma, Rajendra Singh. International Journal of Advanced Research in Science Communication and Technology, 2026. Cites: paper

Development and validation of a prediction model for acute kidney injury in cirrhosis with normal serum creatinine levels
Shenglong Lin, Wenhai Ke, Rong Wang et al. Annals of Hepatology, 2026. Cites: paper

Machine learning-driven decision support for antibiotic optimization in typhoid fever based on patient profiles
Ssemuyiga Charles, Elminah Saru, Yusuf Abbas Aleshinloye. BMC Medical Informatics and Decision Making, 2026. Cites: paper

Pretrained Biomedical Foundation Models: Comparative Analysis and Practical Applications in Healthcare
Mounira Zouaghi, Fadi Kacem, Habib Fathallah. IEEE Middle East and North Africa Communications Conference (MENACOMM), 2026. Cites: paper

C-Reactive Protein-to-Albumin Ratio as a Prognostic Marker in ICU Patients with Pre-Existing Hypertension and Diabetes
Sultan Almuntashiri, Eissa A. Jafari, Abdullah Alhumaid et al. Journal of Clinical Medicine, 2026. Cites: paper

Offline Reinforcement Learning for Sepsis Management
Endah Purwanti, Fatima Hasya Puspa Kasih, Franky Chandra Satria Arisgraha. International Journal of Online and Biomedical Engineering (iJOE), 2026. Cites: paper

Evaluating Large Language Models for Automated Data Cleaning and Feature Engineering in Clinical Datasets
Shimul A Babli, Pulkit Gairola, Chukwuemeka E. Ogbu et al. Cureus, 2026. Cites: paper

Critical Analysis of Explainable AI Deficiencies and Proposal for a Causal and Adaptive Grounded Framework
Tanuj Surendra Ghag, Vinod Pachghare, Charulata J Patil. International Conference on Next Generation Electronics (NELEX), 2026. Cites: paper

IDSD: A novel algorithm for credibility-based Subgroup Discovery for clinical data
Francisco Mora-Caselles, Manuel Campos, Antonio Lopez-Martinez-Carrasco et al. IEEE Conference on Artificial Intelligence (CAI), 2026. Cites: paper

Beyond demographic tables: integrating data quality in clinical trial representativeness
João Gregório, Agnieszka Lemańska, Bartlomiej Cieszynski et al. Frontiers in Digital Health, 2026. Cites: paper

CogniFuse and Multimodal Deformers: An Extended Study on Benchmarking and Modeling Biosignal Fusion
Anthony Richardson, Michael Beetz, Tanja Schultz et al. IEEE Transactions on Biomedical Engineering, 2026. Cites: paper

Explainable ICD coding via MediThoth: A multimodal clinical decision support system
Mostafa M. Elbehery, Mohamed Sobhy Mohamed, Mohamed A. Elshafey. Array, 2026. Cites: paper

Off by a beat: the effects of temporal misalignment in reinforcement learning for sepsis treatment
Shengpu Tang, Jiayu Yao, Jenna Wiens et al. npj Digital Medicine, 2026. Cites: paper

Systematic Review with Qualitative Synthesis of Gut Microbiota Alterations after Acute Brain Injury
Émilie Occhiali, Domitille Renard, Camille Molkhou et al. Journal of Neurotrauma, 2026. Cites: paper

ПРИМЕНИМОСТЬ ДИФФУЗИОННЫХ МОДЕЛЕЙ ДЛЯ ШУМОПОДАВЛЕНИЯ КЛИНИЧЕСКОЙ РЕЧИ: ЭКСПЕРИМЕНТАЛЬНЫЙ АНАЛИЗ И ОГРАНИЧЕНИЯ
А. Нуреев, Н. Староверова. Современные наукоемкие технологии (Modern High Technologies), 2026. Cites: paper

PsychBERT: Domain-Adaptive Longitudinal Representation Learning for Trajectory-Based Clustering of Psychiatric Disorders from Electronic Health Record Narratives
Ankit Kumar Bhasker, Abhishek Singh, Girish Chandra et al. ASU International Conference in Emerging Technologies for Sustainability and Intelligent Systems (ICETSIS), 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

“Small” Large Language Models in the Hospital: Evaluation Study on Real-World Data in a Resource-Constrained Setting
He A. Xu, Romain Pythoud, Christian Wandall Thorball et al. Journal of Medical Internet Research, 2026. Cites: paper

State-disentangled multi-task learning framework for robust photoplethysmography-based biometric authentication on smartwatches
Yuxuan Zhao, Haitao He, Ke Xu et al. Expert Systems with Applications, 2026. Cites: paper

Understanding uncertainty in large language model predictions of early death in critically ill patients: a conformal prediction approach
Fatemeh Shah-Mohammadi, Alexander Millar, Julio Cesar Facelli et al. JAMIA Open, 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

Explainable AI–driven optimization for transparent and auditable decision-making in medical software
Liangyu Li, Zulkefli Mansor, Fatin Filzahti Ismail et al. Journal of King Saud University - Computer and Information Sciences, 2026. Cites: paper

HybridBigDataClassifier: a hybrid deep learning approach for scalable big data classification with imbalanced datasets
Bhaskar Kantapalli, Markapudi Babu Rao. The European Physical Journal Plus, 2026. Cites: paper

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