Publications citing MIMIC-III Waveform Database v1.0

Disease Spectrum-aware and Time-evolving Dependency Learning for Medication Recommendation
Yishuo Li, Cong Wang, Shoujin Wang et al. ACM Transactions on Information Systems, 2026. Cites: paper

ProMem-agent: Procedural memory-augmented large language model agents for clinical trajectory reasoning
Qianying He, Xuan Liu, Jingquan Liu et al. International Journal of Medical Informatics, 2026. Cites: paper

Responsible AI for Acute Stroke Management
Joanna Lin, Mumu Aktar, Hakim Baazaoui et al. Stroke, 2026. Cites: paper

Non‐Contact Photoplethysmography for In‐Vehicle Health Monitoring With Seamlessly Integrated Photodetector Array and Hardware‐Accelerated AI
Yaqi Zhao, Haolan Xu, Xin Wang et al. Small, 2026. Cites: paper

From the Sophimatics Framework to a Complex-Time Multi-Agent System for Neural–Symbolic Cognitive Analysis
Gerardo Iovane, Carmine Ziccardi, Alessio Rosati et al. Information, 2026. Cites: paper

LLM-CSER: Large language model-driven causal reasoning with synergistic experts for medication recommendation
Yan Kang, Xueqing Luo, Hanyuan Wang et al. Expert Systems with Applications, 2026. Cites: paper

A Deep Reinforcement Learning-Based Adaptive Model for Sepsis Treatment in ICU
DEEPAK YADAV, Millie Pant, Kusum Deep. Lecture notes in computer science, 2026. Cites: paper

Uncertainty-quantified time–frequency neural operator (UQ-TF-NO) for discretization-invariant heart failure risk prediction from ECG signals
Victor Adeyi Odeh, Zhang XiaoLing, Clement Agaba et al. Applied Soft Computing, 2026. Cites: paper

Early recognition of sepsis-associated acute kidney injury based on BioBERT-BPNN multimodal clinical data analysis
Yufeng Chen, Hongyang Bian, Yuye Li. PLoS ONE, 2026. Cites: paper

Explainable machine learning for breast cancer prediction in resource-constrained settings: A multi-algorithmic framework integrating shap-based transparency with clinical decision support
Oluwaseun Adebayo Bamodu, Sumaiya Nezam, Chen‐Chih Chung. PLOS Digital Health, 2026. Cites: paper

Identifying cohorts at elevated risk of cancers using generative modeling of patient health states
Asif Khan, Duncan T. Forster, Moshir Harsh et al. medRxiv, 2026. Cites: paper

Pre-operative albumin outperforms NHANES-derived composite nutritional-immune-inflammatory indices for predicting adverse outcomes in pediatric congenital heart surgery: a single-center study with internal validation
Xin Chai, Liangping Cheng. Research Square, 2026. Cites: paper

Calibration-Based Cuffless Blood Pressure Estimation Using a Dilated-Residual Attention U-Net
Thomas Stogiannopoulos, Nikolaos Mitianoudis. Information, 2026. Cites: paper

CDTS2: Causal Downstreamer with Causally Disentangled Trend and Seasonality Time-Series Representations
Juhyun Lyu, Junghee Kim, Sangmin Lee et al. Applied Sciences, 2026. Cites: paper

Evaluating the generalisability of LiSep LSTM for early prediction of septic shock across US and european cohorts
Hong K. Tan, Logan Froese, Daniel Wilhelms et al. Scientific Reports, 2026. Cites: paper

Vascular waveform analysis using Bayesian pulse deconvolution
Parker S. Ruth, Tommy DeBenedetti, Lily O'Brien et al. npj Digital Medicine, 2026. Cites: paper

A multi-scale hypergraph approach of interpretable probabilistic forecasting for irregular time series
Jiahui Yan, Yaling Xun, Haifeng Yang et al. Expert Systems with Applications, 2026. Cites: paper

MedFuseNet: A cross-modality attention network for predicting emergencies in smart hospital beds using fog computing
Jones Daniel, Sundar Rajan R. Franklin Open, 2026. Cites: paper

MMAC-Net: A Multi-Modal Multi-Label Attention-Based Deep Learning Approach for Automated ICD-9 Coding of Rare Disease Admissions from Electronic Health Records
Adnan Ferdous Ashrafi, Reda Alhajj, Jon George Rokne. Applied Sciences, 2026. Cites: paper

Numeric versus embedding pipelines for optimized clinical risk prediction
Aaron Ge, Jialong Wu, Xueyao Wu et al. JAMIA Open, 2026. Cites: paper

Query-CNAT: Uma Ferramenta de Busca Semântica Híbrida para Bancos de Dados Relacionais Médicos
Denilson José do Bom Jesus Silva de Lima, Rui Nóbrega de Pontes Filho, Allan Miller Silva Lima et al. Simpósio Brasileiro de Bancos de Dados (SBBD), 2026. Cites: paper

AI-assisted multimodal data integration for precision oncology
Alexandra Chera, Ana-Maria Chirilaș, Amada El-Sabeh et al. Frontiers in Artificial Intelligence, 2026. Cites: paper

From National Data to Local Evaluation: Benchmarking Machine Learning Models for Perioperative Risk Prediction
Zihan Ding, Grace Han, Tengfei Ma et al. medRxiv, 2026. Cites: paper

Towards Interpretable Risk: Multidimensional Context for ICU Mortality Predictions
Shraddha Gupta, Akanta Das, Mrinmoy Sarkar Anto et al. medRxiv, 2026. Cites: paper

Enhancing Model Explainability and Performance via Attention-Guided Gradient Restriction
Hai-Chan Nguyen, Hung Lê, Thin Nguyen. Lecture notes in computer science, 2026. Cites: paper

Automated Injury Diagnosis Coding Using LLMs: Performance and Privacy Trade-offs
Rishab Ranjan Chakravarty, Mustak Ahmad, Gaurav Nanda. Proceedings of the Human Factors and Ergonomics Society Annual Meeting, 2026. Cites: paper

Clustering Psychiatric Disorders from EHR Texts Using BERT-Based Representation Learning
Ankit Kumar Bhasker, Abhishek Singh, Girish Chandra et al. Lecture notes in networks and systems, 2026. Cites: paper

Differentially Private Synthetic Health Data
Joseph Pedersen, Kristin P. Bennett. Communications in computer and information science, 2026. Cites: paper

From biobanks to real-world evidence: architectural evolution of large-scale health databases and implications for future development
Yue Cai, Yiyang Liu, Ting Xu et al. Chinese Science Bulletin (Chinese Version), 2026. Cites: paper

Large Language Model Benchmarks in Medical Tasks
Lawrence K.Q. Yan, Qian Niu, Ming Li et al. Medicine Advances, 2026. Cites: paper

Multimodal ECG Reconstruction: A Comparative Study of ECG-PPG Fusion and Single-Modality Representations
Pedro Rangel, Sanaz Rahimi Moosavi, Alex Jeter et al. IEEE International Conference on Omni-layer Intelligent Systems (COINS), 2026. Cites: paper

Protocol for the National Data Stream-IICU: a multicenter Swiss platform integrating multimodal clinical and pathogen data for personalized prediction of infection-related outcomes in intensive care
Catherine Ruth Jutzeler, Karsten Michael Borgwardt, Nora C. Toussaint et al. CMI Communications, 2026. Cites: paper

Suboptimal Echocardiographic Image Quality Predicts in‐Hospital Mortality Across the Adult Age Spectrum, Independent of Admission Type: A Large‐Scale NLP Study
Murat Pehlivan, Yusuf Ziya Şener, Aybüke Uyar et al. Echocardiography, 2026. Cites: paper

Utilizing BERTopic modeling for concept discovery in the domain of gerotranscendence and solitude
B. Damayanthi Jesudas, Finn Wilson, Rachel A. Mavrovich et al. Journal of Biomedical Semantics, 2026. Cites: paper

Your Agent’s Memories Are Not Its Own: Forged Reasoning Attack on LLM Agent Memory and Its Defense
Neeraj Karamchandani, Piyush Nagasubramaniam, Sencun Zhu et al. IEEE Conference on Communications and Network Security, 2026. Cites: paper

Inteligência Artificial na decisão de admissão em UTI: interface com cuidados paliativos e educação médica
Alberto Hil Furtado Júnior, Edgar Marçal de Barros Filho, Melissa Soares Medeiros. Cuadernos de Educación y Desarrollo, 2026. Cites: paper

Prognostic Language and Subsequent Code-Status Limitation After Acute Brain Injury: A Multidatabase Observational Study
Alon Gorenshtein, Yosef Adiniaev, Amir Srour et al. medRxiv, 2026. Cites: paper

Deep belief enabled coupled high-order hidden state transition degradation model
Vipul Bansal, Shiyu Zhou. Reliability Engineering & System Safety, 2026. Cites: paper

Hierarchical LLM-Assisted Clinical Coding in ICD-10-CM: A Hybrid Prompting and Embedding Approach
Nuno Costa, Constantino Lopes Martins, Alberto Freitas. Lecture notes in networks and systems, 2026. Cites: paper

Hybrid Differentially Private Conditional Diffusion for Synthetic EHR Generation in Medical IoT Environments
Yamuna Mundru, Manas Kumar Yogi. Journal of Smart Algorithms and Applications (JSAA), 2026. Cites: paper

Modeling the post-extrasystolic potentiation to determine heart failure
Roel J. H. Montree, Elisabetta Peri, Lukas Dekker et al. Frontiers in Signal Processing, 2026. Cites: paper

PPG-FusionNet: A Dual-Branch Neural Architecture for Cuffless Blood Pressure Estimation from Photoplethysmography
Eduardo Martínez Duque, Genaro Daza Santacoloma, David Augusto Cardenas Peña. Computers, 2026. Cites: paper

Enhancing rare class prediction in medical data via clinical validity augmentation
Hai-Chan Nguyen, Phuong-Thuy Le-Nguyen, Bac Hoai Le. Engineering Applications of Artificial Intelligence, 2026. Cites: paper

From free association to free parameters: machine-learning empowers artificial intelligence models to rate the affective-relational aspects of narratives like an expert psychologist
Caleb J. Siefert, Barry Dauphin, Jenelle M. Slavin‐Mulford et al. Frontiers in Digital Health, 2026. Cites: paper

Intelligent Medication Recommendation via Dynamic Prescription Modeling and Molecular Substructure Learning
Yabin Kuang, Minzhu Xie, Jiancheng Zhong. Interdisciplinary Sciences Computational Life Sciences, 2026. Cites: paper

Leveraging ECG foundation models in critical care for sinus rhythm and atrial fibrillation classification
Maria Galanty, Michiel Hulleman, Merijn Constantijn Reuland et al. Intensive Care Medicine Experimental, 2026. Cites: dataset, paper

Machine Learning on the Pediatric Intensive Care (PIC) Database: PIC-Powered Prediction
Hammad A. Ganatra, Daniah Shamim, Shawn Sood et al. Bioengineering, 2026. Cites: paper

HeteroMetaNet: A multimodal meta-learning framework for ischemic stroke prediction from heterogeneous clinical and radiological data
Raghda E. Ali, Reda A. El-Khoribi, Ehab Ezzat Hassanein et al. Biomedical Signal Processing and Control, 2026. Cites: paper

Multimodal graph neural networks for integrating heterogeneous medical data in clinical decision making
K. Adi Narayana Reddy, L. Lakshmi, G. Shyam Chandra Prasad et al. Discover Computing, 2026. Cites: paper

Multivariate regression model and clinical scoring systems for predicting mortality at ICU admission in patients with ischemic stroke
Petr A. Polyakov, Берикашвили Леван Бондоевич, Mikhail Ya. Yadgarov et al. Russian Journal of Anesthesiology and Reanimatology, 2026. Cites: paper

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