Publications citing Early Prediction of Sepsis from Clinical Data: The PhysioNet/Computing in Cardiology Challenge 2019 v1.0.0

Balancing Accuracy and Simplicity in an Interpretable System for Sepsis Prediction Using Limited Clinical Data
Ting-An Chang, Chunliang Liu, You-Cheng Liu. Applied Sciences, 2025. Cites: paper

DLBW: an end-to-end multi-task adaptive gradient balancing method
Yayong Shi, Zenghao Cui, Yida Zhang et al. Cluster Computing, 2025. Cites: paper

State-space modeling in long sequence processing: a survey on recurrence in the transformer era
Matteo Tiezzi, Michele Casoni, Alessandro Betti et al. Neural Networks, 2025. Cites: paper

Explainable Artificial Intelligence: A Perspective on Drug Discovery
Yazdan Ahmad Qadri, Sibhghatulla Shaikh, Khurshid Ahmad et al. Pharmaceutics, 2025. Cites: paper

The Potential of Artificial Intelligence in the Diagnosis and Prognosis of Sepsis: A Narrative Review
George Țocu, Elena Lăcrămioara Lisă, Dana Tutunaru et al. Diagnostics, 2025. Cites: paper

Development and Validation of VC-MAES and VC-SEPS: Deep Learning-Based Early Warning Systems for Hospitalized Patients
Y . J . Kim, Sangchul Hahn, Kwang Joon Kim et al. medRxiv, 2025. Cites: paper

A Focal Weighted Binary Cross Entropy Loss for Explainable Sepsis Prediction
Anirban Dutta Choudhury, Debanuj Basak, Rounak Dutta et al. International Conference on Emerging Techniques in Computational Intelligence (ICETCI), 2025. Cites: paper

From static to dynamic: Artificial intelligence revolution in perioperative care through multimodal data fusion and closed-loop optimization
Mingdi Xue, Jiaming Yang, Honglin Wang et al. Journal of Anesthesia and Translational Medicine, 2025. Cites: paper

Patients’ Use of mHealth Wearable Devices and their Healthcare Utilization (Preprint)
Indranil R. Bardhan, Gari D. Clifford, Mujeeb A. Basit et al. JMIR Cardio, 2025. Cites: paper

Prognostic value of neutrophil-to-lymphocyte ratio in septic patients with liver cirrhosis: a cohort study
Fan Song, Xiaoling Wu, Bohua Wei. BMC Gastroenterology, 2025. Cites: paper

TransFed: cross-domain feature alignment for semi-supervised federated transfer learning
Linghui Zeng, Ruixuan Liu, Li Xiong et al. Machine Learning, 2025. Cites: dataset, paper

SFC: a time series decomposition attention network with continuous nature for time series analysis
Haoyu Chen, Bo Li, Zhiyong An et al. Data Mining and Knowledge Discovery, 2025. Cites: paper

EarlyMix: Hierarchical Mixing for Early Time Series Classification
Shaojun Hu, Jun Hu, Junwei Lv et al. IEEE International Conference on Multimedia and Expo (ICME), 2025. Cites: paper

SimTA++: Simple attention neural network for clinical asynchronous time series
Zhihao Li, Jingyu Li, Kaiming Kuang et al. Neural Networks, 2025. Cites: paper

Machine learning model for daily prediction of pediatric sepsis using Phoenix criteria
Daniela Chanci, Jocelyn R. Grunwell, Alireza Rafiei et al. Pediatric Research, 2025. Cites: paper

ORAKLE: Optimal Risk prediction for mAke30 in patients with sepsis associated AKI using deep LEarning
Wonsuk Oh, Marinela Veshtaj, Ashwin Shreekant Sawant et al. Critical Care, 2025. Cites: paper

Are AI-based surveillance systems for healthcare-associated infections ready for clinical practice? A systematic review and meta-analysis
Claudia Cozzolino, Sofia Mao, Francesco Bassan et al. Artificial Intelligence in Medicine, 2025. Cites: paper

Improving clinical decision support through interpretable machine learning and error handling in electronic health records
Mehak Arora, Hassan Mortagy, Nathan J. Dwarshuis et al. Journal of the American Medical Informatics Association, 2025. Cites: paper

A methodological systematic review of validation and performance of sepsis real-time prediction models
Zichen Wang, Wen Wang, Che Sun et al. npj Digital Medicine, 2025. Cites: paper

Machine Learning Feasibility in Cochlear Implant Speech Perception Outcomes—Moving Beyond Single Biomarkers for Cochlear Implant Performance Prediction
Matthew A. Shew, Cole Pavelchek, Andrew P. Michelson et al. Ear and Hearing, 2025. Cites: paper

Advancing early detection of sepsis with physiological variable interactions and temporal contrastive learning in critical care
Da Huang, Tao Tan, Yue Sun. Biomedical Signal Processing and Control, 2025. Cites: paper

A Scalable AI Framework for Proactive Health Monitoring Using Physiological Signals
Meera Radhakrishnan, Roupen Minassian, Kun Yu et al. IEEE International Conference on Pervasive Computing and Communications Workshops (PerCom Workshops), 2025. Cites: paper

XTRTimeS — eXplainable Transformer for Robust Time Series Forecasting
Malte Singerhoff, Torben Weis. IEEE International Conference on Pervasive Computing and Communications Workshops (PerCom Workshops), 2025. Cites: paper

Application of the KA-Transformer model to early sepsis prediction: a hybrid network analysis based on time series data
Yu Zhu, Yunzhang Cheng, Tianyi Zhang et al. Discover Applied Sciences, 2025. Cites: paper

Healthy Bio-Core: A Framework for Selection of Homogeneous Healthy Biomedical Multivariate Time Series Employing Classification Performance
Abhidnya Patharkar, Firas Al-Hindawi, Teresa Wu. IEEE Journal of Biomedical and Health Informatics, 2025. Cites: paper

Exploring methods of sampling training data for sepsis prediction
Glushkov, Karavaev, Milyaev et al. Herald of Omsk University, 2025. Cites: paper

Speech emotion recognition using fine-tuned Wav2vec2.0 and neural controlled differential equations classifier
Ni Wang, Danyu Yang. PLoS ONE, 2025. Cites: paper

TITD: enhancing optimized temporal position encoding with time intervals and temporal decay in irregular time series forecasting
Jinquan Ji, Yu Cao, Yukun Ma et al. Applied Intelligence, 2025. Cites: paper

Adapting to the stream: an instance-attention GNN method for irregular multivariate time series data
Kun Han, Abigail Koay, Ryan K. L. Ko et al. Frontiers of Computer Science, 2025. Cites: paper

AI Advances in ICU with an Emphasis on Sepsis Prediction: An Overview
Charithea Stylianides, Andria Nicolaou, Waqar Aziz Sulaiman et al. Machine Learning and Knowledge Extraction, 2025. Cites: paper

External validation of AI-based scoring systems in the ICU: a systematic review and meta-analysis
Patrick Rockenschaub, Ela Marie Z. Akay, Benjamin Gregory Carlisle et al. BMC Medical Informatics and Decision Making, 2025. Cites: paper

Harnessing artificial intelligence in sepsis care: advances in early detection, personalized treatment, and real-time monitoring
Fang Li, Shengguo Wang, Zhi Gao et al. Frontiers in Medicine, 2025. Cites: paper

Generative Adversarial Networks for Longitudinal Data Imputation and Classification
Sharon Torao Pingi. Queensland University of Technology, 2025. Cites: paper

Sepsis Detection Using KNN, NCC, and SVM: A Machine Learning Approach
N. Smitha, R Tanuja, S. H. Manjula. Lecture notes in networks and systems, 2025. Cites: paper

Unraveling Complex Temporal Patterns in EHRs via Robust Irregular Tensor Factorization.
Ren Yifei, Linghui Zeng, Jian Lou et al. Europe PMC (PubMed Central), 2025. Cites: paper

Comparing machine learning techniques for neonatal mortality prediction: insights from a modeling competition
Brynne A. Sullivan, Alvaro G. Moreira, Ryan Michael McAdams et al. Pediatric Research, 2024. Cites: paper

Temporal Gaussian Copula For Clinical Multivariate Time Series Data Imputation
Ye Su, Hezhe Qiao, Di Wu et al. IEEE International Conference on Bioinformatics and Biomedicine (BIBM), 2024. Cites: paper

Quick-MIMIC: A Multimodal Data Extraction Pipeline for MIMIC with Parallelization
Yutao Dou, Wei Li, Yangtao Zheng et al. Big Data Mining and Analytics, 2024. Cites: paper

A novel classical machine learning framework for early sepsis prediction using electronic health record data from ICU patients
Johayra Prithula, Khandaker Reajul Islam, Jaya Kumar et al. Computers in Biology and Medicine, 2024. Cites: paper

SVMPT: A Hybrid Approach to Sparse and Irregular Clinical Data Learning with Selective Variable-wise Message Passing and Transformer
Rongqin Chen, Dan Wu, Leong Hou U et al. ACM International Conference on Bioinformatics, Computational Biology, and Health Informatics (ACM-BCB), 2024. Cites: paper

Time-Series Deep Learning and Conformal Prediction for Improved Sepsis Diagnosis in Non-ICU Hospitalized Patients
Shaunak Dalal, Ahad K. Ardabili, Anthony S. Bonavia. Computers in Biology and Medicine, 2024. Cites: paper

Advances in diagnosis and prognosis of bacteraemia, bloodstream infection, and sepsis using machine learning: A comprehensive living literature review
Bernard Hernandez, Damien Keng Yen Ming, Rawson T.M. et al. Artificial Intelligence in Medicine, 2024. Cites: paper

Parrallel LSTM-DNN Fusion Model for Early Prediction of Sepsis in Intensive Care Units
Hadj Ali Elmerahi, Baghdad Atmani, Fatiha Barigou et al. International Conference on Embedded & Distributed Systems (EDiS), 2024. Cites: paper

Irregularity-Informed Time Series Analysis: Adaptive Modelling of Spatial and Temporal Dynamics
Liangwei Nathan Zheng, Zhengyang Li, Chang George Dong et al. ACM International Conference on Information and Knowledge Management (CIKM), 2024. Cites: paper

Predictive modeling of biomedical temporal data in healthcare applications: review and future directions
Abhidnya Patharkar, Fulin Cai, Firas Al-Hindawi et al. Frontiers in Physiology, 2024. Cites: paper

An efficient joint model for high dimensional longitudinal and survival data via generic association features
Van Tuan Nguyen, Adeline Fermanian, Antoine Barbieri et al. Biometrics, 2024. Cites: paper

Prediction of mortality in sepsis patients using stacked ensemble machine learning algorithm
M Babu, Marimuthu Sappani, Melvin Joy et al. Journal of Postgraduate Medicine, 2024. Cites: paper

Imputation Strategies for Longitudinal Behavioral Studies: Predicting Depression Using GLOBEM Datasets
Sohini Bhattacharya, Rahul Majethia, Akshat Choube et al. ACM International Joint Conference on Pervasive and Ubiquitous Computing (UbiComp), 2024. Cites: paper

The continuous memory: A neural network with ordinary differential equations for continuous-time series analysis
Bo Li, Haoyu Chen, Zhiyong An et al. Applied Soft Computing, 2024. Cites: paper

Enhancing Patient Selection in Sepsis Clinical Trials Design Through an AI Enrichment Strategy: Algorithm Development and Validation
Meicheng Yang, Jinqiang Zhuang, Wenhan Hu et al. Journal of Medical Internet Research, 2024. Cites: paper

Cited by