SepsisLab: Early Sepsis Prediction with Uncertainty Quantification and
Active Sensing

SepsisLab: Early Sepsis Prediction with Uncertainty Quantification and Active Sensing

24 July 2024

Bingsheng Yao

Jeffrey Caterino

Papers citing "SepsisLab: Early Sepsis Prediction with Uncertainty Quantification and Active Sensing"

18 / 18 papers shown

Title
CardioAI: A Multimodal AI-based System to Support Symptom Monitoring and Risk Detection of Cancer Treatment-Induced Cardiotoxicity Siyi Wu Weidan Cao Shihan Fu Bingsheng Yao Ziqi Yang Changchang Yin Varun Mishra Daniel Addison Ping Zhang Dakuo Wang 20 2 0 06 Oct 2024
HgbNet: predicting hemoglobin level/anemia degree from EHR data Zhuo Zhi M. Elbadawi Adam Daneshmend Mine Orlu Abdul Basit Andreas Demosthenous Miguel R. D. Rodrigues 19 3 0 22 Jan 2024
Rethinking Human-AI Collaboration in Complex Medical Decision Making: A Case Study in Sepsis Diagnosis Shao Zhang Jianing Yu Xuhai Xu Changchang Yin Yuxuan Lu ... Melanie Tory Lace M. Padilla Jeffrey Caterino Ping Zhang Dakuo Wang 16 40 0 17 Sep 2023
HOPE: Human-Centric Off-Policy Evaluation for E-Learning and Healthcare Ge Gao Song Ju Markel Sanz Ausin Min Chi OffRL 11 8 0 18 Feb 2023
Deep Imputation of Missing Values in Time Series Health Data: A Review with Benchmarking Maksims Kazijevs Manar D. Samad BDL AI4TS 17 32 0 10 Feb 2023
Integrated Convolutional and Recurrent Neural Networks for Health Risk Prediction using Patient Journey Data with Many Missing Values Yuxi Liu S. Qin Antonio Jimeno Yepes Wei Shao Zhenhao Zhang Flora D. Salim 14 3 0 11 Nov 2022
Handling missing values in healthcare data: A systematic review of deep learning-based imputation techniques Mingxuan Liu Siqi Li Han Yuan M. Ong Yilin Ning F. Xie S. Saffari V. Volovici Bibhas Chakraborty Nan Liu AI4TS 12 50 0 15 Oct 2022
Remote Medication Status Prediction for Individuals with Parkinson's Disease using Time-series Data from Smartphones Weijian Li Wei-wei Zhu R. Dorsey Jiebo Luo 17 0 0 26 Jul 2022
Deconfounding Actor-Critic Network with Policy Adaptation for Dynamic Treatment Regimes Changchang Yin Ruoqi Liu Jeffrey Caterino Ping Zhang OffRL 27 5 0 19 May 2022
Reconstructing Missing EHRs Using Time-Aware Within- and Cross-Visit Information for Septic Shock Early Prediction Ge Gao Farzaneh Khoshnevisan Min Chi 13 8 0 15 Mar 2022
Compensating trajectory bias for unsupervised patient stratification using adversarial recurrent neural networks A. Javer O. Parsons Oliver Carr J. Baxter C. Diedrich E. Elcci Steffen Schaper K. Coboeken Robert Durichen 6 1 0 14 Dec 2021
Temporal Clustering with External Memory Network for Disease Progression Modeling Zicong Zhang Changchang Yin Ping Zhang 32 1 0 29 Sep 2021
Self-Supervised Transformer for Sparse and Irregularly Sampled Multivariate Clinical Time-Series Sindhu Tipirneni Chandan K. Reddy AI4TS 6 104 0 29 Jul 2021
Deep learning for temporal data representation in electronic health records: A systematic review of challenges and methodologies F. Xie Han Yuan Yilin Ning M. Ong Mengling Feng W. Hsu B. Chakraborty Nan Liu 11 82 0 21 Jul 2021
Automated Evolutionary Approach for the Design of Composite Machine Learning Pipelines Nikolay O. Nikitin Pavel Vychuzhanin M. Sarafanov Iana S. Polonskaia I. Revin Irina V. Barabanova G. Maximov Anna V. Kaluzhnaya A. Boukhanovsky 10 55 0 26 Jun 2021
Transformer-based unsupervised patient representation learning based on medical claims for risk stratification and analysis Xianlong Zeng Simon M. Lin Chang Liu 12 6 0 23 Jun 2021
Back2Future: Leveraging Backfill Dynamics for Improving Real-time Predictions in Future Harshavardhan Kamarthi Alexander Rodríguez B. Prakash AI4TS 14 14 0 08 Jun 2021
AttDMM: An Attentive Deep Markov Model for Risk Scoring in Intensive Care Units Yilmazcan Ozyurt Mathias Kraus Tobias Hatt Stefan Feuerriegel 6 34 0 09 Feb 2021