Cited by
3604 publications cite any version of this project or its primary paper, newest first.
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Domain generalization and adaptation in intensive care with anchor regression
Malte Londschien, Manuel Burger, Gunnar Rätsch et al. RSS Data Science and Artificial Intelligence, 2026. Cites: paper -
Early Dexmedetomidine in Ventilated Acute Myocardial Infarction: A Target Trial Emulation Using MIMIC‐IV
Sheng‐Kai Wang, Dong Chang, Fang Peng et al. Journal of Interventional Cardiology, 2026. Cites: dataset -
Enhancing Healthcare Security: Integrating Blockchain and Cloud Storage for Medicine Management and Organ Donation
A. Sendhooran, K. Ashwini. Lecture notes in networks and systems, 2026. Cites: paper -
Federated analysis for critical care: opportunities and challenges for research
Edson C. D. Lopes, Lucas Bulgarelli. Critical Care Science, 2026. Cites: paper -
FedMedNet: A Federated Privacy-Preserving Framework for Multi-Modal EHR-Based Clinical Outcome Prediction
Rekha R Nair, T Lokesh Babu, Deepika Nayak. Procedia Computer Science, 2026. Cites: paper -
From Raw Hospital Records to an AI-Ready Surveillance Dataset: A FAIR-Compliant Data Pipeline for Healthcare-Associated Infection Research in a Chinese District Hospital
Dan Han, Xin Shu, Yang Hu et al. Computational and Structural Biotechnology Journal, 2026. Cites: paper -
From Static to Dynamic: GNNs-Driven Clinical Decision-Making Assistance
Shiyi Lin, Zirui Zhuang, Qi Qi et al. Lecture notes in computer science, 2026. Cites: paper -
Handling Missing Modalities in Multimodal Federated Learning for Healthcare Data Analytics
Vichayuth Ngamsittipong, Jakkaphat Jumratboonsom, Thannatorn Thongsuk et al. Communications in computer and information science, 2026. Cites: dataset -
Hemoglobin glycation index predicts mortality in intracerebral hemorrhage: a nonlinear threshold effect
Shuwen Sun, Xin Huang, Xiaobin Fei et al. Neurological Sciences, 2026. Cites: paper -
HHGCN-DrugRec: Hierarchical HyperGraph Convolution Network for Drug Combination Recommendation
Zihan Zhang, H J Liu, Tianqi Sun et al. Lecture notes in computer science, 2026. Cites: paper -
How Few Sensors Are Enough? Minimum Vital Sign Requirements for ML-Based Deterioration Prediction
Yurii Myroshnyk, Олександр Борисович Лещенко. IEEE Access, 2026. Cites: paper -
Hybrid NLP-LLM Pharmacologic Information Extraction from Unstructured Clinical Notes
Theodosios Galiropoulos, Anastasios Alexiadis, Nikolaos Siopis et al. World Congress on Medical Physics and Biomedical Engineering, September 7 - 12, 2009, Munich, Germany, 2026. Cites: dataset -
Improving Early Sepsis Onset Prediction Through Federated Learning
Christoph Düsing, Philipp Cimiano. Communications in computer and information science, 2026. Cites: dataset -
In silico biomedicine in the era of artificial intelligence: opportunities and challenges
Faizan-e- Mustaffa, Tehseen Sajid, Munawar Ali et al. In Silico Research in Biomedicine, 2026. Cites: paper -
Integrating Electronic Health Records and Large Language Models for Coarse-to-Fine Hybrid Disease Prediction
Chutong Wang, Mingda Li, Xuebing Yang et al. Health Data Science, 2026. Cites: paper -
Intelligent Narrative Summaries and Risk Scoring of Laboratory Panels with Large Language Models
Rahul Reddy Hanumanthgari. EPJ Web of Conferences, 2026. Cites: paper -
Introduction to Health Data Engineering
Janusz Wojtusiak. Springer handbooks, 2026. Cites: dataset -
Iterative Dynamic Routing Framework for Medical Question Answering
Chutong Wang, Xuebing Yang, Yunqi Zhu et al. Communications in computer and information science, 2026. Cites: paper -
Lactate-to-Albumin Ratio and Short-Term Outcomes in Critically Ill Patients with Coronary Heart Disease—A Two-Database Validation Study
福洋 柏. Journal of Clinical Personalized Medicine, 2026. Cites: paper -
LAI-Pool: Persistent Homology-Informed Graph Neural Networks for Predicting Mortality in ICU Patients
Charles Fanning, Corey Verkouteren, Djalil Sawadogo et al. Studies in computational intelligence, 2026. Cites: paper -
Mapping the susceptibility of large language models to medical misinformation across clinical notes and social media: a cross-sectional benchmarking analysis
Mahmud Omar, Vera Sorin, Lothar H. Wieler et al. The Lancet Digital Health, 2026. Cites: paper -
MedicalBench: Evaluating Large Language Models Towards Improved Medical Concept Extraction
Zhichao Yang, Gregory D. Lyng, Sanjit Singh Batra et al. SSRN Electronic Journal, 2026. Cites: paper -
MetaGD-CAN: A Hybrid Generative–Discriminative Method for Cancer Detection in EHR Data
Yu‐Cheng Chang, Wei-Chun Tsai, Lo Pang-Yun Ting et al. Lecture notes in computer science, 2026. Cites: paper -
MIMIC-IV ICU Risk Stratification: A Dual-Stage Predictive Model for Short and Long-Term Patient Outcome Prediction
Neetesh Jatav, Vibha Tiwari, Aryan Singh. Lecture notes in networks and systems, 2026. Cites: paper -
Modeling Complex Short EHR Visits With xLSTM and Medical Entity Enhancement for Medication Recommendation
Qingchuan Xu, Kai Che, Jiafeng Li et al. IEEE Access, 2026. Cites: paper -
Multi-task Deep Learning for Predicting ARDS and Mechanical Ventilation in ICU Patients with Sepsis
Lu Zhang, Yuanting Yang, Xuwei Tian et al. Lecture notes in electrical engineering, 2026. Cites: paper -
No Cloud, No Problem: Secure and Explainable Offline AI Agents for Clinical Q&A with Lightweight LLMs
Ali Hamza Salman, Giuseppe Fico, Ernesto Iadanza. World Congress on Medical Physics and Biomedical Engineering, September 7 - 12, 2009, Munich, Germany, 2026. Cites: dataset, paper -
Overview of the Content Quality Control Task for Admission Records in Inpatient Electronic Medical Records in CHIP 2025
Lu Xiang, Sikai Liu, Weiyu Zhang et al. Communications in computer and information science, 2026. Cites: paper -
PaCE-RL: Context-Aware Reinforcement Learning for Personalized Glycemic Control in ICU Nutrition Transition
Shayhan Ameen Chowdhury, Lee Sh, Young-Koo Lee et al. IEEE Access, 2026. Cites: paper -
Parameter-Efficient Tuned LongFormer for Diagnostic Code Classification Based on Unstructured Clinical Reports
Reshma Unnikrishnan, S. Sowmya Kamath, V. S. Ananthanarayana. Lecture notes in networks and systems, 2026. Cites: paper -
PiSO: Pipelined Selection Optimization Framework for Preprocessed Data and DL Models on ABP Estimation Using MIMIC-IV
Aruzhan Suleimenova, Barrett London Burgess, Jaemin Choi et al. IEEE Access, 2026. Cites: paper -
Predicting acute kidney injury in type B aortic dissection: development and validation of a clinical nomogram
Weijian Chen, Zhengfei Li, Xiaojun Shu. Clinics, 2026. Cites: paper -
Predicting and Interpreting Clinical Deterioration in the Intensive Care Unit Using Machine Learning and Explainable AI
Vanderleicio Carvalho Leite, Matheus Giovanni Pires, Fabiana Cristina Bertoni. Lecture notes in computer science, 2026. Cites: paper -
Predicting Numeric Hemoglobin A1c for Individualized Type 2 Diabetes Care Using Machine Learning: A MIMIC-IV Study
Mahdis Habibpour, Alexandros Tanzanakis, Emmanuelle Salin et al. Lecture notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering, 2026. Cites: paper -
Predictive value of stress-induced hyperglycemia for 28-day all-cause mortality in ICU patients with sepsis: a MIMIC-IV-based retrospective cohort study
Jiahui Ma, Xu Wang, Yan Zhang et al. Clinics, 2026. Cites: paper -
Profile and Data Quality of DataVerse Japan: A Multi‐Institutional Clinical Data Platform for Emergency and Critical Care Research
Takeshi Ebihara, Shunichiro Nakao, Ryota Nukiwa et al. Acute Medicine & Surgery, 2026. Cites: paper -
Prognostic Impact of Alactic Base Excess in Critically Ill Patients with Sepsis-Associated Disseminated Intravascular Coagulation: A Retrospective Observational Study
Shu Zhang, Yang Chen, Kaihe Xie et al. Clinical and Applied Thrombosis/Hemostasis, 2026. Cites: paper -
Prognostic Value of Standard Base Excess in Sepsis‐Associated Acute Kidney Injury: A Retrospective Cohort Study
Mingming Li, Yuxia Li, Jingru Lan et al. International Journal of Nephrology, 2026. Cites: paper -
Prognostic Value of the Neutrophil‐to‐Lymphocyte Ratio for All‐Cause Mortality in Patients With Cardiovascular–Kidney–Metabolic Stage 4
Longzhou Chen, Wencai Jiang, GuangRong Zhang et al. Mediators of Inflammation, 2026. Cites: paper -
Prognostic Value of the Total Bilirubin‐to‐Albumin Ratio in Critically Ill Patients with Gastrointestinal Bleeding: A Multicentre Cohort Study
Xuyong Chen, Shasha Ying, Xiangshu Yuan et al. Emergency Medicine International, 2026. Cites: paper -
Relationship Between International Normalized Ratio to Albumin Ratio and Mortality in Critically Ill Patients With Myocardial Infarction
Yanchen Li, Yantao Shu, Dongling Niu et al. Clinical and Applied Thrombosis/Hemostasis, 2026. Cites: paper -
SepsiGraph: A Graph-Based Multimodal Approach for Early Sepsis Prediction in Dynamic Resource-Constrained Clinical Settings
Sofia Bourhim, Oumayma Bourhim. Lecture notes in computer science, 2026. Cites: paper -
Standardizing Data Elements for Implementation of ICU Liberation Bundle
Md Fantacher Islam, M. Rans Douglas, Jarrod M Mosier et al. Applied Clinical Informatics, 2026. Cites: paper -
Temperature Trajectories Are Associated With the Prognosis of Septic Patients
Keying Ding, C Xu, Xueqi Zhu et al. Emergency Medicine International, 2026. Cites: paper -
Temperature trajectory in septic patients with hypothermia: When the ice begins to melt—A retrospective cohort study
Chang Xu, Keying Ding, Xiaoyang Zhou et al. Science Progress, 2026. Cites: paper -
Test-Time Recommendation for Safe Medication Combination
Xiaoyu Han, Yonghui Xu, Haotian Chen et al. Lecture notes in computer science, 2026. Cites: paper -
The Anatomy of Medical Data
Souradip Mookerjee. Biomedical visualization, 2026. Cites: paper -
The Impact of White Blood Cell Count Trajectories on Prognosis and Secondary Acute Kidney Injury in Sepsis Patients
Jie Yan, Ailifeire Abudurexiti, Guligeina Yibubula et al. Mediators of Inflammation, 2026. Cites: paper -
The Role of LLMs for Optimizing Clinical Insights in Text Summarization
Ayesha Camran, Afreen Khan. Lecture notes in networks and systems, 2026. Cites: dataset -
Toward Improved Time-Series Explanations for Federated Learning in Healthcare
Christoph Düsing, Philipp Cimiano. Lecture notes in computer science, 2026. Cites: paper
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