Publications citing MIMIC-III Waveform Database v1.0

Early Prediction of Cardiac Arrest Based on Time-Series Vital Signs Using Deep Learning: Retrospective Study
Yong Li, Lei Lv, Xia Wang. JMIR Formative Research, 2025. Cites: paper

$\mathrm{D}^{2}$ KGMed: Dynamic Diagnostic Knowledge Graphs for Medical Diagnosis Prediction
Jie Zhang, Gaoyang Zheng, Hang Lv et al. IEEE International Conference on Bioinformatics and Biomedicine (BIBM), 2025. Cites: paper

AiCoder: Exploring Automated ICD Coding on Chinese EMRs with a Multi-Agent Framework
Zhenpeng Liang, Hongjiao Guan, Weiyu Zhang et al. IEEE International Conference on Bioinformatics and Biomedicine (BIBM), 2025. Cites: paper

A machine learning model for mortality risk prediction of sepsis patients based on the medical information mart for intensive care III database
Yidi Shao, Kangjun Wang, Yu Ma. EngMedicine, 2025. Cites: paper

CafeMed: Causal Attention Fusion Enhanced Medication Recommendation
Kelin Ren, Chan-Yang Ju, Dong-Ho Lee. IEEE International Conference on Bioinformatics and Biomedicine (BIBM), 2025. Cites: paper

Construction of a Clinical Data Standardization System Based on Medical Data Element and Large Language Model
Yuzhu Li, Han Sun, Suyuan Peng et al. IEEE International Conference on Bioinformatics and Biomedicine (BIBM), 2025. Cites: paper

DAWN: Dual-Axial Warped Networks for Sepsis Early Prediction
Chuanyi Jiao, Ying Yu, Chunping Ouyang et al. IEEE International Conference on Bioinformatics and Biomedicine (BIBM), 2025. Cites: paper

Diffusion-Based PPG-to-ECG Translation with Dynamic ROI Selection
Changwook Chu, Seoung-Bum Kim. Journal of Korean Institute of Industrial Engineers, 2025. Cites: paper

DMAP: A Deep-Model Driven Multi-Agent Framework for Reliable Diagnosis Prediction
Wenjing Yu, Guofang Ma, Hang Lv et al. IEEE International Conference on Bioinformatics and Biomedicine (BIBM), 2025. Cites: paper

Enhancing Patient Comprehension of Discharge Notes with a Retrieval-Augmented LLM Approach
Mahshad Koohi H. Dehkordi, Junyu Lu, Yehoshua Perl et al. IEEE International Conference on Bioinformatics and Biomedicine (BIBM), 2025. Cites: paper

FUSE-Sepsis: A Multi-Modal Fusion Framework for Early Sepsis Prediction Using LLM Fine-Tuning and Tabular Learning (Preprint)
Lijuan Jia, Junjie Zhu, Fanrui Yang. 2025. Cites: paper

MVAE4EHR: A Multimodal Representation Learning Framework Based on Variational Autoencoder for Mortality Prediction
Entesar Al-Seraji, Abdulrahman Al-Dailami, Xiaoping Qiu. IEEE International Conference on Bioinformatics and Biomedicine (BIBM), 2025. Cites: paper

Non-temporal tree-based models outperform temporal deep learning models in the prediction of chemotherapy-induced side effects from longitudinal laboratory data
Farnaz Rahimi, Christel Sirocchi, Julian Matschinske et al. medRxiv, 2025. Cites: paper

Opportunistically Detecting Signs of Hypertension on a Consumer Smartwatch
Paolo Di Achille, Lawrence Z. Cai, Jiang Wu et al. medRxiv, 2025. Cites: paper

Optimizing Manual Review Using Machine Learning in Interface Terminology Curation for Automatic EHR Highlighting
Mahshad Koohi H. Dehkordi, Yehoshua Perl, Fadi P. Deek. IEEE International Conference on Bioinformatics and Biomedicine (BIBM), 2025. Cites: paper

PMTG: Personalized Multivariate Temporal Graph Learning with Multi-Granular Encoding for Clinical Prediction on EHRs
Jintao Zhu, Xue Feng, Yanfei Shen et al. IEEE International Conference on Bioinformatics and Biomedicine (BIBM), 2025. Cites: paper

Robust Prototype-Driven Patient Representation Enhancement for Disease Prediction
Hongxu Yuan, Xiaozhu Jing, Yuzheng Yan et al. IEEE International Conference on Bioinformatics and Biomedicine (BIBM), 2025. Cites: paper

RQCare: A Residual Quantization Model for Disease Representation and Diagnosis Prediction in Healthcare Data
Xusheng Yu, Kaisong Zhang, Hang Lv et al. IEEE International Conference on Bioinformatics and Biomedicine (BIBM), 2025. Cites: paper

SECGI: A Medication Recommendation Model Combining LLM-Based Semantic Enrichment and Causal Graph Inference
Haoqin Yang, Yichao Zhang, Jiayuze Zhang et al. IEEE International Conference on Bioinformatics and Biomedicine (BIBM), 2025. Cites: paper

Similarity-Aware Dual-Perspective Learning for Medical Event Prediction
Yang Li, Jiusong Ge, Shilei Cao et al. IEEE International Conference on Bioinformatics and Biomedicine (BIBM), 2025. Cites: paper

STRMeR:Enhancing Medication Recommendation via Mining Complex Structures and Temporal Relationships from EHR
Haoqing Wu, Chunping Ouyang, Ying Yu et al. IEEE International Conference on Bioinformatics and Biomedicine (BIBM), 2025. Cites: paper

TACL: Threshold-Adaptive Curriculum Learning Strategy for Enhancing Medical Text Understanding
Mucheng Ren, Yucheng Yan, He Chen et al. IEEE International Conference on Bioinformatics and Biomedicine (BIBM), 2025. Cites: paper

Time Aware Hypergraph Contrastive Learning for Survival Analysis of Asynchronous Multivariate Clinical Time Series
Zhao Yihan, Lin Huiping. IEEE International Conference on Bioinformatics and Biomedicine (BIBM), 2025. Cites: paper

Tracecoder: Towards Traceable Icd Coding Via Multi-Source Knowledge Integration
Mucheng Ren, He Chen, Yucheng Yan et al. IEEE International Conference on Bioinformatics and Biomedicine (BIBM), 2025. 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 Facelli et al. medRxiv, 2025. Cites: paper

WaveMorph: Morphology-Aware Non-Invasive Continuous Blood Pressure Waveform Prediction with BP-Guided Denormalization
Weixiu Qiu, Zixuan Huang, Zengding Liu et al. IEEE International Conference on Bioinformatics and Biomedicine (BIBM), 2025. Cites: paper

XAI for In-Hospital Mortality Prediction via Multimodal ICU Data
Xingqiao Li, Jindong Gu, Zhiyong Wang et al. IEEE International Conference on Bioinformatics and Biomedicine (BIBM), 2025. Cites: paper

Contextualized biomedical language processing enhances ICU survival prediction
Rui Chen, Yu Cai, Sitong Zhang et al. iScience, 2025. Cites: paper

Arquitectura Neuro-Simbólica para Razonamiento Causal Explicable
Pedro Rafael Márquez-Gutiérrez, Carmen Leticia García-Mata, P.R. Acosta-Cano de los Ríos et al. Revista ELECTRO, 2025. Cites: paper

Explainable Federated Learning for ICU Deterioration Prediction with SHAP and Attention
Venu Babu Nallani, Prasad Deverasetty, Nageswararao Malisetti et al. IEEE Pune Section International Conference (PuneCon), 2025. Cites: paper

Multimorbidity measurement strategies for predicting hospital visits
Bernardo Duque Neves, José M. Moreira, Simão Gonçalves et al. BMC Health Services Research, 2025. Cites: paper

Training data augmentation
Rohit Kumar. Elsevier eBooks, 2025. Cites: paper

A Systematic Review of Drug-Related Interactions─Utilizing Deep Learning and LLMs for Prediction and Mitigation
Soheila Behrooznia, Mohsen Hooshmand. ACS Omega, 2025. Cites: paper

Blockchain-Enabled Secure Federated Learning for Electronic Medical Records: A Scalable and Privacy-Preserving Framework
Indra Yatini B., Kuindra Iriyanta, Hendra et al. International Seminar on Research of Information Technology and Intelligent Systems (ISRITI), 2025. Cites: paper

Beyond the p < 0.05 trap: the adaptive integrity model for preventing and detecting P-hacking
Don A. Affognon. Frontiers in Education, 2025. Cites: paper

Large-scale automated phenotyping of cardiac arrest and withdrawal of life-sustaining therapy using electronic health record data
Catherine Clive, Arjun Singh, Bram Overmeer et al. Resuscitation, 2025. Cites: paper

Machine learning techniques for improved prediction of cardiovascular diseases using integrated healthcare data
Abdulgani Kahraman. Frontiers in Artificial Intelligence, 2025. Cites: paper

Rotary Position Embedding-Based Transformer Hawkes Process for Event-Type Big Data
Shan Dai, Anningzhe Gao, Zhuo Li et al. Big Data Mining and Analytics, 2025. Cites: paper

AI/ML Trustworthiness for Medical Predictions – Experimental Results
Mohimenul Karim, Tanmoy Sarkar Pias, Bimal Viswanath et al. Annual Computer Security Applications Conference Workshops (ACSAC Workshops), 2025. Cites: paper

Benchmarking LLM Optimization Strategies for Clinical NER: A Comparative Analysis of DSPy GEPA Against Domain-Specific Transformers
Ebby Varghese, Yi Shang. IEEE International Conference on Big Data (BigData), 2025. Cites: paper

Deep Spectra P2E: AI-Driven Spectral ECG Reconstruction from PPG for Continuous Cardiovascular Monitoring
Shyamala Mathi, Sashikala Mishra, Manoj Kumar et al. Engineering Technology & Applied Science Research, 2025. Cites: paper

Explaining Clinical Outcome Predictions with Compositional Rationale Extraction Model
Weiting Gao, Riley Grossman, Yi Chen. IEEE International Conference on Big Data (BigData), 2025. Cites: paper

Healthcare Solutions for Noisy Clinical Text: A Federated Privacy-Preserving Approach
Abm Kamrul Islam Riad, Abdullah Al Mamun, Salma Akter et al. IEEE International Conference on Big Data (BigData), 2025. Cites: paper

Machine learning model of clinical laboratory data for 30-day mortality of patients with hodgkin’s lymphoma in ICU: a retrospective study based on MIMIC-IV database
Ming‐Hui Chang, Zheng Xu, Lingyu Xu et al. Clinical and Experimental Medicine, 2025. Cites: paper

MambaGuard-MOO: Multi-Objective Safe Drug Recommendation with Contrastive Learning
Hongtao Xie, Shengxin Zhu. IEEE International Conference on Big Data (BigData), 2025. Cites: paper

Multimodal Fusion of Chest Radiographs and Text Reports for Heart Failure Detection
Arun Rajaratnam, Zois Boukouvalas. IEEE International Conference on Big Data (BigData), 2025. Cites: paper

VitalBench: A Rigorous Multicenter Benchmark for Long-Term Vital Sign Prediction in Intraoperative Care
Xiuding Cai, Xueyao Wang, Sen Wang et al. IEEE Sensors Journal, 2025. Cites: paper

WaveGNN: Integrating Graph Neural Networks and Transformers for Decay-Aware Classification of Irregular Clinical Time-Series
Arash Hajisafi, Maria Despoina Siampou, Bita Azarijoo et al. IEEE International Conference on Big Data (BigData), 2025. Cites: paper

Adaptve dual-branch compensatory gating for noise-robust modeling of irregularly sampled time series
Zongyao Yin, Ruiqing Yan, Sheng Chang et al. Expert Systems with Applications, 2025. Cites: paper

BALANCE: A Fairness-Aware Framework for Privacy-Preserving Synthetic Clinical Text Generation
Yi Tang, Dengpan Ye. ACM International Conference on Multimedia in Asia (MMAsia), 2025. Cites: paper

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