Cited by
MIMIC-III Clinical Database Demo (v1.4)
7975 publications cite any version of this project or its primary paper, newest first.
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Decoding emotional nuances: A multimodal approach to detecting depression through audio, video, and text
Siddhant Bikram Shah, Shubham Garg, Nikolaos Kouis et al. Information Fusion, 2026. Cites: paper -
Object-centric event-data imperfection patterns
Sareh Sadeghianasl, Moe Thandar Wynn, Robert Andrews et al. Information Systems, 2026. Cites: paper -
A Simulation-Based Validation Framework for Uncertainty-Aware Clinical Triage: Conformal Prediction and Ensemble Learning Applied to a Synthetic ICU Benchmark Cohort
Amit Kalita, Avirup Chattopadhyay, Madhushree Bhattacharjee et al. medRxiv, 2026. Cites: paper -
Calibrated and Interpretable Machine Learning for ICU Mortality Prediction Using First 24-Hour Clinical Data
Abdallah Alsammani, Merasia Johnson, Jessica Elrefaei. medRxiv, 2026. Cites: paper -
Hybrid Deep Learning Models For Early Identification Of Neurological Disorders Using Advanced Biomedical Signal Processing For Targeted Drug Delivery Applications
Naresh K Anand, Mohammad Shahnawaz Nasir, Alighazi Siddiqui et al. International Journal of Drug Delivery Technology, 2026. Cites: paper -
A Calibrated Class-Weighted Ensemble Framework for Relationship Classification in SNOMED CT with Domain-Specific BERT Models
T. M. Rubaith Bashar, Mengjia Xu, James Geller. IEEE International Conference on Healthcare Informatics (ICHI), 2026. Cites: paper -
AI-Driven Early-Warning System to Predict Multi-Organ Deterioration in Critical Care Patients
Chaitanya Krishna Kasaraneni, Sarmista Thalapaneni. IEEE International Conference on Healthcare Informatics (ICHI), 2026. Cites: paper -
AI Voice-Based Multilingual Emergency Assessment
Eren Yigidim. IEEE International Conference on Healthcare Informatics (ICHI), 2026. Cites: paper -
Association between renal replacement therapy and in-hospital mortality in patients with severe acute kidney injury: a retrospective cohort study based on MIMIC-IV database
Guanyuan Tian, Zhibin Lin, Zhanmao Chen et al. BMC Urology, 2026. Cites: paper -
A survey on medical multimodal retrieval-augmented generation (RAG)
Ruipeng Wang, Jian Wang, Yan Huang et al. High-Confidence Computing, 2026. Cites: paper -
CHGRec: causal heterogeneous graph-enhanced medication recommendation with personalized refinement
Guangyao Wan, Anting Gao, Kai Che et al. International Journal of Data Science and Analytics, 2026. Cites: paper -
ClinCode Copilot: An Interactive Clinical Coding Assistant with Dual Interpretability
Vicente Barros, Luís Carlos Afonso, José Luís Oliveira et al. Proceedings - IEEE Symposium on Computer-Based Medical Systems, 2026. Cites: paper -
Confimed: a Parallel English-Arabic Benchmark for Fine-Grained Confidentiality Classification in Healthcare Correspondence
Sarah Kohail, Abdularahman Albajali, Mohammed Alshehhi. Proceedings - IEEE Symposium on Computer-Based Medical Systems, 2026. Cites: paper -
Continuous Acute Kidney Injury Prediction in the Intensive Care Unit
Eldar Zosmanovich, Niv Shifrin, Yair Erell et al. Proceedings - IEEE Symposium on Computer-Based Medical Systems, 2026. Cites: paper -
Deep Learning for Early Disease Detection: A Multimodal Approach to Diagnostic Accuracy in Medical Imaging
NEHA V. VYAS, Kiran Velukuri, Nityal Kumar Alagingi et al. IEEE Global Symposium on Emerging and Communication Technologies (GSEACT), 2026. Cites: paper -
Deep neural networks for early detection of chronic diseases using multi-modal health data
Dharmendra Kumar. Neural Computing and Applications, 2026. Cites: paper -
Evolution of LLMs for Clinical Information Extraction: A Comparative Study of GPT and Llama Models
Vipina K. Keloth, Yang Ren, Kriti Bhattarai et al. IEEE International Conference on Healthcare Informatics (ICHI), 2026. Cites: paper -
Explainable AI for Scientific Applications: Making AI Models Interpretable in Healthcare, Climate Science, and Engineering
Mohammad Mahmudur Rahman, Md Shakawat Hossain Rabbi, Md Zubair Ahmad et al. Technology and Innovation Conference (TIC), 2026. Cites: paper -
Explainable AI Framework for Clinical Risk Stratification Using Tabular and Text-Derived Medical Features
Anandhakumar Kaluvakolli. INTERNATIONAL JOURNAL OF CREATIVE RESEARCH THOUGHTS, 2026. Cites: paper -
Explainable ICD-10 Coding Support for Thai Clinical Text via Graph-Grounded Retrieval
Artid Boonrerng, Nouh Sabri Elmitwally, Edlira Vakaj et al. IEEE Symposium on Computers and Communications (ISCC), 2026. Cites: paper -
Fine-Tuning BERT with Privacy-Preserving LLM-Labeled Synthetic Training Data: An Application to Valley Fever Symptom Extraction
Amimul Ehsan Zoha, Gondy Leroy A, John N. Galgiani et al. IEEE International Conference on Healthcare Informatics (ICHI), 2026. Cites: paper -
Hypergraph Core Attention Network for Irregular Multivariate Time Series Forecasting
Jo Masuda, Yuma Dose, Takahiro Hara. International Joint Conference on Neural Networks (IJCNN), 2026. Cites: paper -
IndoClinNER: Overcoming Medical Prior Bias in Clinical De-Identification Via Adversarial Surname Injection
Sayantan Mandal, Ashish Tiwari. Proceedings - IEEE Symposium on Computer-Based Medical Systems, 2026. Cites: paper -
Interpretable Deep Reinforcement Learning with Differentiable Decision Trees for Cost-Effective Medical Diagnosis
Sumedh Ramteke, Umesh Ashok Deshpande. IEEE Guwahati Subsection Conference (GCON), 2026. Cites: paper -
Interpretable ICD Coding with Chunk-Level Attention and Contrastive Pretraining
Luís Carlos Afonso, Vicente Barros, João Rafael Almeida et al. Proceedings - IEEE Symposium on Computer-Based Medical Systems, 2026. Cites: paper -
Interpretable Machine Learning for Early Sepsis Prediction
Charithea Stylianides, Andria Nicolaou, Anna Vavlitou et al. Proceedings - IEEE Symposium on Computer-Based Medical Systems, 2026. Cites: paper -
MAP: evaluation and multi-agent enhancement of large language models for inpatient pathways
Zhen Chen, Zhihao Peng, Xusheng Liang et al. npj Health Systems, 2026. Cites: paper -
Pareto fronts for privacy-utility trade-offs in multi-query systems
Yi Yin, Guangquan Zhang, Hua Zuo et al. European Journal of Operational Research, 2026. Cites: paper -
PolyReal: A Benchmark for Real-World Polymer Science Workflows
Wanhao Liu, Weida Wang, Jiaqing Xie et al. 2026. Cites: paper -
Privacy Awareness in Large Language Models: Input Regurgitation and Prompt-Induced Sanitization for HIPAA and GDPR Compliance
Aravinda Jatavallabha, Venkatesha Matam, Vidisha Vijay. IEEE International Conference on AI and Data Analytics (ICAD), 2026. Cites: paper -
Privacy without Loss of Utility: Evaluation of De-identification Techniques in Deep Learning for Intensive Care Units
Vitor Matheus Valandro da Rosa, Giovana Nunes Inocêncio, Jean Everson Martina. 2026. Cites: paper -
Real-Time Streaming Analytics for Healthcare: An Architecture for Continuous Clinical Data Processing
Razia Sultana, Rukaiya Khatun Moury. 2026. Cites: paper -
Retrieval-Augmented Generation for Evidence-Based Biomedical Knowledge Extraction from Clinical Reports
Tarannum Alimahmad Bloch, Deep Dave, Chandraparsad. International Conference on Smart Communication and Sustainable Technologies (ICSCST), 2026. Cites: paper -
RLMV: An Algorithm for Predicting the Duration of Mechanical Ventilation in Patients
Jiaying Xi, Zhao Yunbo, Haoquan Zhou et al. Asian Control Conference (ASCC), 2026. Cites: paper -
Systematic Evaluation of Large Language Models for Post-Discharge Clinical Action Extraction
Shivali Dalmia, Ananya Mantravadi, Prasanna Desikan. IEEE International Conference on Healthcare Informatics (ICHI), 2026. Cites: paper -
TabHealth: Towards a Self-Supervised Tabular Foundation Model for Smart Healthcare
Mattia Giovanni Campana, Giada Anastasi, Stefania Pieroni et al. IEEE International Conference on Smart Computing, 2026. Cites: paper -
TD-Hyper: Time-Density Guided Hypergraph Learning for Clinical Irregular Multivariate Time Series
Guohui Ding, Zejun Zhang, Jinwei Wang. International Joint Conference on Neural Networks (IJCNN), 2026. Cites: paper -
trAIn Health: Uma Plataforma para Experimentação Reprodutível em Aprendizagem de Máquina para Dados em Saúde
Thiago Guilherme Bezerra de Aguiar, Renan T. Leite, Ana Beatriz S. V. dos Santos et al. 2026. Cites: paper -
Elastic functional Cox regression model with shape predictors
Yi Tang Chen, Sebastian Kurtek. Journal of Applied Statistics, 2026. Cites: dataset, paper -
Medical Reasoning With Large Language Models: A Systematic Review and Evaluation
Xiaohan Ren, Chenxiao Fan, Wenyin Ma et al. iNew Medicine, 2026. Cites: paper -
Methods for constructing and adapting counterfactual scenarios of medical business process
Konstantin Petrov, Taras Chalyi. Bionics of Intelligence, 2026. Cites: paper -
Artificial Intelligence in Clinical Decision-Making: A Comprehensive Review of Diagnostic, Prognostic, and Therapeutic Applications, Validation Gaps, Bias, and Deployment Challenges
Saurabh S Patil, Gaurav Kumar Jha, Naveed Mohsin et al. Cureus, 2026. Cites: paper -
Development and validation of a machine learning-based diagnostic system for 22 pediatric respiratory pathogens: a large-scale multicenter study
Dubin Su, Qun Chen, Ruizhi Xu et al. npj Digital Medicine, 2026. Cites: paper -
Differentially Private and Explainable Federated Learning for ICU Mortality Prediction
Shabash Shaik, M. Nageswararao, Kondragunta Rama Krishnaiah. International Conference on Secure Cyber Computing and Communications (ICSCCC), 2026. Cites: paper -
Estimating the dose–response relationship between first-24-h mean arterial pressure and ICU mortality in patients receiving norepinephrine: a GPU-assisted causalEGM analysis
Yoonjin Kang, Seung Min Song, Ji Eun Kim et al. The Journal of Supercomputing, 2026. Cites: paper -
Stress-testing medical vision models with images edited by controllable inversion algorithms
Michel Pezzat Morales, Jimena Olveres, Boris Escalante Ramírez et al. Optics, Photonics, and Digital Technologies for Imaging Applications, 2026. Cites: paper -
Toward trustworthy digital healthcare: A system-level convergence of IoMT, large language models, and explainable AI
Maria Bashir, Shaker El–Sappagh, Simon S. Woo et al. Information Fusion, 2026. Cites: paper -
Hierarchical federated learning with paillier encryption: synergistic approach for secure analytics of sensitive healthcare data
Saeed Iqbal, Xiaopin Zhong, Muhammad Attique Khan et al. Expert Systems with Applications, 2026. Cites: paper -
Multi-scale temporal fusion transformer with adaptive uncertainty quantification for EHR-based infectious disease prognosis
Yassin Ben Youssef, Asma Amdouni, Amit Chhabra et al. International Journal of Machine Learning and Cybernetics, 2026. Cites: paper -
Impact of hemoglobin glycation index and stress hyperglycemia ratio on short-term mortality in critically ill patients with heart failure: a retrospective cohort study using the MIMIC database
Min He, Lingyan Lei, Siyu Ren et al. Nutrition Metabolism and Cardiovascular Diseases, 2026. Cites: paper
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