Cited by
MIMIC-III Waveform Database Matched Subset (v1.0)
7929 publications cite any version of this project or its primary paper, newest first.
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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 -
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 -
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 -
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 -
Leveraging Natural Language Processing for Symptom Identification in Acute Myeloid Leukemia Using Clinical Notes from Electronic Health Records
Sena Chae, Jaewon Bae, Pratik Maitra et al. Cancer Nursing, 2026. Cites: paper -
Cognitive Autonomous Memory Security (CAMS) against injection and extraction attacks in long-term memory of AI agents
T Dhivyasree, S Saravanan, Arun Kumar Ramamoorthy et al. Egyptian Informatics Journal, 2026. Cites: paper -
MediCARE: Medical Collaborative Agents REasoning over Interpretable Heterogeneous Graphs
Antonino Ferraro, Antonio Galli, Valerio La Gatta et al. Artificial Intelligence in Medicine, 2026. Cites: paper -
Active Learning Strategies for Imbalanced Clinical Note Categories in ICU Mortality Prediction
Mina Afzali, Mohsen Kahani, Maryam Karrabi et al. International Interdisciplinary Conference on Artificial Intelligence: Engineering, Health, Finance and Humanities (IICAI), 2026. Cites: paper -
Approximating Optimal Soft Repairs for Denial Constraints
Zizheng Guo, Pengyu Chen, Jianwei Yang et al. IEEE Transactions on Knowledge and Data Engineering, 2026. Cites: paper -
Deep Learning for Stroke Mortality Prediction in eICU: A Dual-Tower Transformer Framework
Zhengrong Jia, Kwong-Cheong Wong. International Conference on Computer Communication and Artificial Intelligence (CCAI), 2026. Cites: paper -
Intracranial Pressure Prediction Using Phase-Aligned Multimodal Physiological Signals and Multi-Scale Temporal Modeling
Rui Wang, Cai Li. IEEE Data Driven Control and Learning Systems Conference (DDCLS), 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 -
Training Strategies for Imbalanced Single-Task and Multitask Electrocardiogram Classification
Joshua Tiffany, Qi Zhang. Conference proceedings - Canadian Conference on Electrical and Computer Engineering, 2026. Cites: paper -
Federated Learning for Privacy-Preserving Healthcare Data Analytics
Tintu George. International Journal of Information Technology Research Studies (IJITRS), 2026. Cites: paper -
FFDM-GAT-transformer: a fast FDM-based graph-attention and transformer framework for cuffless blood pressure estimation using PPG signal
Pankaj ., Pratibha Maan, Manjeet Kumar. Measurement, 2026. Cites: paper -
The Role of Artificial Intelligence in the Diagnosis and Prognosis of Heart Diseases: A Systematic Review
Enoc Tapia-Mendez, Irving Armando Cruz-Albarrán, Saúl Tovar‐Arriaga et al. AI, 2026. Cites: paper -
A hybrid Markov chain and AI approach for mining frequent multidimensional Temporal Association Rules
Wafa Tebourski. Intelligence in Business and Industry (IBI), 2026. Cites: paper
Citation data from OpenAlex, updated weekly. Papers that use the project without citing it may be missing.