Benchmarking Deep Learning Architectures for Predicting Readmission to
the ICU and Describing Patients-at-Risk

Benchmarking Deep Learning Architectures for Predicting Readmission to the ICU and Describing Patients-at-Risk

21 May 2019

O. Perez-Concha

Papers citing "Benchmarking Deep Learning Architectures for Predicting Readmission to the ICU and Describing Patients-at-Risk"

18 / 18 papers shown

Title
Healthcare cost prediction for heterogeneous patient profiles using deep learning models with administrative claims data M. Morid O. R. Sheng 38 0 0 17 Feb 2025
HIST-AID: Leveraging Historical Patient Reports for Enhanced Multi-Modal Automatic Diagnosis Haoxu Huang Cem M. Deniz K. Cho S. Chopra Divyam Madaan 24 1 0 16 Nov 2024
Clinical Risk Prediction Using Language Models: Benefits And Considerations Angeela Acharya Sulabh Shrestha Anyi Chen Joseph Conte Sanja Avramovic S. Sikdar Antonios Anastasopoulos Sanmay Das 24 6 0 29 Nov 2023
Designing monitoring strategies for deployed machine learning algorithms: navigating performativity through a causal lens Jean Feng Adarsh Subbaswamy Alexej Gossmann Harvineet Singh B. Sahiner Mi-Ok Kim Gene Pennello N. Petrick Romain Pirracchio Fan Xia 11 1 0 20 Nov 2023
Explainable Machine Learning for ICU Readmission Prediction Alex G. C. de Sá Daniel J. Gould Anna Fedyukova M. Nicholas L. Dockrell ... David Pilcher Daniel Capurro David B. Ascher K. El-Khawas Douglas E. V. Pires 14 1 0 25 Sep 2023
Predicting Unplanned Readmissions in the Intensive Care Unit: A Multimodality Evaluation Eitam Sheetrit Menachem Brief Oren Elisha 13 10 0 14 May 2023
From Plate to Prevention: A Dietary Nutrient-aided Platform for Health Promotion in Singapore Kaiping Zheng Thao Nguyen Jesslyn Hwei Sing Chong C. E. Goh Melanie Herschel Hee Hoon Lee Changshuo Liu Beng Chin Ooi Wen Wang J. Yip 8 1 0 10 Jan 2023
Deep representation learning: Fundamentals, Perspectives, Applications, and Open Challenges K. T. Baghaei Amirreza Payandeh Pooya Fayyazsanavi Shahram Rahimi Zhiqian Chen Somayeh Bakhtiari Ramezani FaML AI4TS 30 6 0 27 Nov 2022
Rationale production to support clinical decision-making Niall Taylor Lei Sha Dan W Joyce Thomas Lukasiewicz A. Nevado-Holgado Andrey Kormilitzin FAtt 12 4 0 15 Nov 2021
Time Series Prediction using Deep Learning Methods in Healthcare M. Morid O. R. Sheng Josef A. Dunbar OOD AI4TS 11 106 0 30 Aug 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 19 83 0 21 Jul 2021
Explainable Health Risk Predictor with Transformer-based Medicare Claim Encoder Chuhong Lahlou Ancil Crayton C. Trier E. Willett MedIm 8 5 0 19 May 2021
Generalized and Transferable Patient Language Representation for Phenotyping with Limited Data Yuqi Si E. Bernstam Kirk Roberts 16 8 0 24 Feb 2021
Enhancing Human-Machine Teaming for Medical Prognosis Through Neural Ordinary Differential Equations (NODEs) D. A. Fompeyrine E. Vorm N. Ricka F. Rose G. Pellegrin 20 6 0 08 Feb 2021
Deep Representation Learning of Patient Data from Electronic Health Records (EHR): A Systematic Review Yuqi Si Jingcheng Du Zhao Li Xiaoqian Jiang T. Miller Fei Wang W. J. Zheng Kirk Roberts OOD 8 154 0 06 Oct 2020
Dynamically Extracting Outcome-Specific Problem Lists from Clinical Notes with Guided Multi-Headed Attention Justin Lovelace N. Hurley A. Haimovich B. Mortazavi 12 4 0 25 Jul 2020
Accurate Characterization of Non-Uniformly Sampled Time Series using Stochastic Differential Equations S. Waele AI4TS 17 0 0 02 Jul 2020
Recurrent Neural Networks for Multivariate Time Series with Missing Values Zhengping Che S. Purushotham Kyunghyun Cho David Sontag Yan Liu AI4TS 205 1,895 0 06 Jun 2016