Early detection of sepsis utilizing deep learning on electronic health record event sequences

7 June 2019

Papers citing "Early detection of sepsis utilizing deep learning on electronic health record event sequences"

7 / 7 papers shown

Title
Large Language Models are Powerful Electronic Health Record Encoders S. Hegselmann Georg von Arnim Tillmann Rheude Noel Kronenberg David Sontag Gerhard Hindricks Roland Eils Benjamin Wild LM&MA 59 1 0 24 Feb 2025
NPRL: Nightly Profile Representation Learning for Early Sepsis Onset Prediction in ICU Trauma Patients Tucker Stewart Katherine Stern G. O’Keefe Ankur Teredesai Juhua Hu 24 0 0 25 Apr 2023
RobIn: A Robust Interpretable Deep Network for Schizophrenia Diagnosis Daniel Organisciak Hubert P. H. Shum E. Nwoye Wai Lok Woo OOD 38 19 0 31 Mar 2022
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 Wynne Hsu B. Chakraborty Nan Liu 32 84 0 21 Jul 2021
S-LIME: Stabilized-LIME for Model Explanation Zhengze Zhou Giles Hooker Fei Wang FAtt 35 88 0 15 Jun 2021
Explainable artificial intelligence model to predict acute critical illness from electronic health records S. Lauritsen Mads Kristensen Mathias Vassard Olsen Morten Skaarup Larsen K. M. Lauritsen Marianne Johansson Jørgensen Jeppe Lange B. Thiesson 21 298 0 03 Dec 2019
MGP-AttTCN: An Interpretable Machine Learning Model for the Prediction of Sepsis Margherita Rosnati Vincent Fortuin 46 34 0 27 Sep 2019