Publications citing MIMIC-III Clinical Database Demo v1.4

A High Precision Symptom Prediction and Diagnosis of Atrial Fibrillation Using CNN and LSTM with Multimodal Feature Fusion Technique
Wei-Hsiu Tseng, Tse-Hsien Lu, Chung‐Lieh Hung et al. Adaptation, learning, and optimization, 2025. Cites: paper

Hybrid graph-based models in medical decision support
Riadh Bouslimi, Fatma Zitouni, Takwa Ben Smida et al. Network Modeling Analysis in Health Informatics and Bioinformatics, 2025. Cites: paper

WellGuide: Bridging AI and Medicine with Biomedical LLMs for Enhanced Health Support
Saksham Sharma, Agampreet Saini. International Conference on Pioneering Developments in Computer Science & Digital Technologies (IC2SDT), 2025. Cites: paper

Addressing Class Imbalance in Pediatric Mortality Prediction Using Machine Learning on the PIC Database
Maria A. Bravo, Carlos A. Fajardo. International Conference on Computer System, Information Technology, and Electrical Engineering (COSITE), 2025. Cites: paper

Attention-Based Offline Reinforcement Learning and Clustering for Interpretable Sepsis Treatment
Punit Kumar, Vaibhav Saran, Divyesh Patel et al. International Conference on Machine Learning and Applications, 2025. Cites: paper

Automated Clinical Coding with Multiclass ICD Prediction
Supriya Khadka, Xiaorui Jiang, Vasile Palade. International Conference on Machine Learning and Applications, 2025. Cites: paper

SenseFusion: A unified framework for multimodal and temporal clinical data modeling for predictive analytics applications
Reshma Unnikrishnan, S. Sowmya Kamath, V. S. Ananthanarayana. Information Fusion, 2025. Cites: paper

Collection of Ambulatory Electrocardiogram and Behavioral Data for the Identification of Digital Biomarkers for Heart Failure (CATCH-ECG): Protocol for a Prospective Cohort Study
Jakob E. Bardram, Gouthamaan Manimaran, Chloë Cammaerts et al. JMIR Research Protocols, 2025. Cites: paper

Development and validation of interpretable machine learning models to predict intensive care unit outcomes in patients on hemodialysis: a multicenter study
Minjie Chen, Pengan Li, Yuanwen Xu et al. BMC Medical Informatics and Decision Making, 2025. Cites: paper

Early Detection of Neonatal Infection in NICU Using Machine Learning Models: A Retrospective Observational Cohort Study
Zhuohan Chi, Zhaohui Steve Qin. The Open Bioinformatics Journal, 2025. Cites: paper

How Could the Proposed International Continence Society (ICS) Global Urodynamics Data Repository (GUDRep) Demonstrate the Clinical Role and Cost Effectiveness of Urodynamics in Individual Patients? ICI‐RS 2025
Enrico Finazzi Agrò, Daniele Bianchi, Riccardo Lombardo et al. Neurourology and Urodynamics, 2025. Cites: paper

Advancing Healthcare with Large Language Models: Techniques and Application
Zhenlin Hu, Zhizhi Peng, Zhen Bi et al. IEEE/CAA Journal of Automatica Sinica, 2025. Cites: paper

Clinically informed imputation of medical data using parallel diffusion models
Shuaixun Wang, Xueer Zhang, Sharon Jewell et al. Expert Systems with Applications, 2025. Cites: paper

Developing and validating a machine learning pharmaceutical therapy recommender system for US-based hospital in-patients with schizophrenia spectrum disorders
Maximin Lange, Urvik Mehta, Nikolaos Koutsouleris et al. BMC Psychiatry, 2025. Cites: paper

Development and validation of a pre-trained language model for neonatal morbidities: a retrospective, multicentre, prognostic study
Feng Xie, Philip Chung, Jonathan D. Reiss et al. The Lancet Digital Health, 2025. Cites: paper

Geriatric nutritional risk index predicts in-hospital mortality in elderly patients with cerebral infarction
Hang Su, Xiaoyong Huang, Yunpao Xiao et al. Neurology Asia, 2025. Cites: paper

HAMNet: Hierarchical Attention-enhanced Molecular Hypergraph Network for medication recommendation with data imbalance mitigation
Mohamad A. Alawad, Heba Nawfal Al Araji, Narinderjit Singh Sawaran Singh et al. Egyptian Informatics Journal, 2025. Cites: paper

MACHINE-LEARNING MODELS FOR PREDICTING BLOOD PRESSURE AND CARDIAC FUNCTION USING WEARABLE SENSOR DATA
Jinnat Ara. 2025. Cites: paper

Subphenotyping sepsis based on organ interaction trajectory using a deep temporal graph clustering model: a retrospective cohort study
Xue Feng, Lei Sun, Jintao Zhu et al. EClinicalMedicine, 2025. Cites: paper

Towards Accurate and Reliable ICU Outcome Prediction: A Multimodal Learning Framework Based on Belief Function Theory using Structured EHRs and Free-Text Notes
Yucheng Ruan, Daniel J. Tan, See Kiong Ng et al. Journal of Healthcare Informatics Research, 2025. Cites: paper

Two level time-aware network for clinical event prediction
Qinghua Li, Zehao Li. Engineering Applications of Artificial Intelligence, 2025. Cites: paper

Augmenting small tabular health data for training prognostic ensemble machine learning models using generative models
Dan Liu, Samer El Kababji, Nicholas Mitsakakis et al. BMC Medical Informatics and Decision Making, 2025. Cites: paper

Desarrollo de modelos híbridos integrando modelos de lenguaje y grafos de conocimiento para estructurar datos en notas clínicas electrónicas de psiquiatría
Sergio Rubio Martin. 2025. Cites: paper

Machine learning time-to-event algorithms for predicting the duration of ventilation after cardiac surgery
Marcel Lucas Chee, Allen Gu, Roshan Karri et al. JTCVS Open, 2025. Cites: paper

MediSense: AI-Based Dual Summarization of Clinical Reports for Healthcare Professionals and Patients
Durgesh Shukla, Siddesh Shirote, Om Soma et al. DMIHER International Conference on Artificial Intelligence in Healthcare, Education and Industry (IDICAIHEI), 2025. Cites: paper

Real-time clinical analytics at scale: a platform built on large language models-powered knowledge graphs
Shuang Cao, Rui Li, Rui Wu et al. JAMIA Open, 2025. Cites: paper

CURENet: combining unified representations for efficient chronic disease prediction
Cong-Tinh Dao, Tai Tan Phan, Jun-En Ding et al. Health Information Science and Systems, 2025. Cites: paper

Development and validation of deep continual learning model to sequentially learn multiple clinical prediction tasks for ICU patients
Zhixuan Zeng, Yang Liu, Shuo Yao et al. Artificial Intelligence in Medicine, 2025. Cites: paper

The Role of Machine Learning in Pharmaceutical Biotechnology
Jatin Jangra, Ramandeep Kaur, Rajnish Kumar. Springer handbooks, 2025. Cites: paper

A prompt framework for enhancing LLM-based explainability of medical machine learning models: an intensive care unit application
Sujung Lee, Won Ik Cho, Youngrong Lee et al. BMC Medical Informatics and Decision Making, 2025. Cites: paper

Membership Inference Attack Against Time-Series Prediction Models
Q. Li, Xiao Gang Han, Ruiyan Wang et al. IEEE Transactions on Dependable and Secure Computing, 2025. Cites: paper

Price Equilibrium Routing: A Lightweight Framework for Expert Selection in Mixture-of-Experts
Yiyang Zhao, Liangwei Nathan Zheng, Wei Emma Zhang et al. Lecture notes in computer science, 2025. Cites: paper

Artificial Intelligence and Machine Learning in Sepsis Detection and Risk Prediction: Big Data, Real-Time Surveillance, and Predictive Analytics in Sepsis Care
Özlem Türkmen Recen. 2025. Cites: paper

DistilLLM-Med: A Lightweight Medical Language Model Through Knowledge Distillation
Mohamed Ahmed Abo El-Enen, Sally Saad, Taymoor Mohamed Nazmy. International Conference on Intelligent Computing and Information Systems (ICICIS), 2025. Cites: paper

Leveraging Deep Learning for Early Detection and Prevention of Cardiovascular and Stroke: A Comprehensive Review
Abdelrahman Alaa Sadik, Mohamed Mabrouk Morsey, Taymoor Mohamed Nazmy et al. International Conference on Intelligent Computing and Information Systems (ICICIS), 2025. Cites: paper

Machine Learning-Based Classification of ICU-Acquired Neuromuscular Weakness: A Comparative Study in Survivors of Critical Illness
David Estévez-Freire, Ivan Cangas, Andrés Tirado-Espín et al. Life, 2025. Cites: paper

Large Language Models in Critical Care Medicine: Scoping Review
Tongyue Shi, Jun Ma, Zihan Yu et al. JMIR Medical Informatics, 2025. Cites: paper

Braden score for early mortality risk assessment in critically ill intensive care patients with multiple organ dysfunction syndrome
Weizhu Deng, Ximu Zhang, Xiaoli Liu et al. Scientific Reports, 2025. Cites: paper

CLSurCoder: LLMs Based Cross-Lingual Transfer Learning for Low-Resource Language Surgical Records Coding
Dawen Chu, Pengyu Ren, Fen Yang et al. Lecture notes in computer science, 2025. Cites: paper

DeepSculpt Attack: Word-Level Adversarial Perturbations on Clinical Text in Electronic Health Records (EHR) Systems
P. Selvi Grija, M. Nandhini. International Conference on Artificial Intelligence and Signal Processing (AISP), 2025. Cites: paper

Explainable Machine Learning Models for Robust Clinical Biomarker Identification
I. Arivazhagi, Shobha K., Deepak Gupta et al. IEEE Global Conference on Wireless Computing and Networking (GCWCN), 2025. Cites: paper

A Study on Evaluating Cardiovascular Diseases Using PPG Signals
Lei Wang, Meng-Yu Hsiao, Zijun Chen et al. Bioengineering, 2025. Cites: paper

Enhanced Medical Record Management and Quality Assessment Using Hybrid BERT-BiLSTM-CRF and Blockchain Technologies
Haiping Wang. International Conference on Public Health and Data Science (ICPHDS), 2025. Cites: paper

Information extraction from clinical notes: are we ready to switch to large language models?
Yan Hu, Xu Zuo, Yujia Zhou et al. Journal of the American Medical Informatics Association, 2025. Cites: paper

Kolmogorov-Arnold Networks for ICU Delirium Prediction: A Novel Deep Learning Approach with Temporal Feature Aggregation
Jingbo Ma, Yong Yang, Lei Zhao et al. International Conference on Industrial Automation, Robotics and Control Engineering (IARCE), 2025. Cites: paper

MediFusion-Flex: An Adaptive Multimodal Deep Learning Framework for Clinical Deterioration Prediction in Emergency Medicine
Trong-Nghia Nguyen, Hong-Hai Nguyen, Ngoc Tu Vu et al. Lecture notes in computer science, 2025. Cites: paper

Structured Representation of Free Text and Audio in Medical Records Using Deep Learning
Amrutha, S. Raghavendra, Pankaj Kumar et al. International Conference on Computing, Semiconductor, Mechatronics, Intelligent Systems and Communications (COSMIC), 2025. Cites: paper

The hidden risk of round numbers and sharp thresholds in clinical practice
Benjamin J. Lengerich, Rich Caruana, Mark Nunnally et al. npj Digital Medicine, 2025. Cites: paper

Deformable phrase level attention: A flexible approach for improving AI based medical coding
Christoph Metzner, Shang Bing Gao, Drahomíra Herrmannová et al. Artificial Intelligence in Medicine, 2025. Cites: paper

Explainable deep learning based techniques for ECG-Based heart disease classification: A systematic literature review and future direction
Gouthamaan Manimaran, Abdolrahman Peimankar, Sadasivan K Puthusserypady et al. Computers in Biology and Medicine, 2025. Cites: paper

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