DeepSOFA: A Continuous Acuity Score for Critically Ill Patients using Clinically Interpretable Deep Learning

28 February 2018

Papers citing "DeepSOFA: A Continuous Acuity Score for Critically Ill Patients using Clinically Interpretable Deep Learning"

28 / 28 papers shown

Title
Learning to Select the Best Forecasting Tasks for Clinical Outcome Prediction Yuan Xue Nan Du A. Mottram Martin G. Seneviratne Andrew M. Dai AI4TS 23 0 0 28 Jul 2024
Interpretable Vital Sign Forecasting with Model Agnostic Attention Maps Yuwei Liu Chen Dan Anubhav Bhatti Bingjie Shen Divij Gupta Surajsinh Parmar San Lee 27 0 0 02 May 2024
Global Contrastive Training for Multimodal Electronic Health Records with Language Supervision Yingbo Ma Suraj Kolla Zhenhong Hu Dhruv Kaliraman Victoria Nolan ... Jeremy A. Balch Tyler J. Loftus Parisa Rashidi A. Bihorac B. Shickel AI4TS 25 1 0 10 Apr 2024
A multi-cohort study on prediction of acute brain dysfunction states using selective state space models Brandon Silva Miguel Contreras Sabyasachi Bandyopadhyay Yuanfang Ren Ziyuan Guan ... Kia Khezeli T. Ozrazgat-Baslanti B. Shickel A. Bihorac Parisa Rashidi 21 1 0 11 Mar 2024
Recent Advances, Applications, and Open Challenges in Machine Learning for Health: Reflections from Research Roundtables at ML4H 2023 Symposium Hyewon Jeong Sarah Jabbour Yuzhe Yang Rahul Thapta Hussein Mozannar ... Linying Zhang Harvineet Singh Tom Hartvigsen Helen Zhou Chinasa T. Okolo VLM AI4TS OOD 43 2 0 03 Mar 2024
The Potential of Wearable Sensors for Assessing Patient Acuity in Intensive Care Unit (ICU) Jessica Sena MD Tahsin Mostafiz Jiaqing Zhang Andrea Davidson S. Bandyopadhyay ... B. Shickel Tyler J. Loftus William Robson Schwartz A. Bihorac Parisa Rashidi 35 1 0 03 Nov 2023
Identifying acute illness phenotypes via deep temporal interpolation and clustering network on physiologic signatures Yuanfang Ren Yanjun Li Tyler J. Loftus Jeremy A. Balch Kenneth L. Abbott ... Ziyuan Guan B. Shickel Parisa Rashidi T. Ozrazgat-Baslanti A. Bihorac 22 1 0 27 Jul 2023
Temporal-spatial Correlation Attention Network for Clinical Data Analysis in Intensive Care Unit Weizhi Nie Yu-Yi Yu Chen Zhang Dan Song Lina Zhao Yunru Bai 19 6 0 03 Jun 2023
A Review on Explainable Artificial Intelligence for Healthcare: Why, How, and When? M. Rubaiyat Hossain Mondal Prajoy Podder 20 56 0 10 Apr 2023
Transformer Models for Acute Brain Dysfunction Prediction B. Silva Miguel Contreras T. Ozrazgat-Baslanti Yuanfang Ren Ziyuan Guan Kia Khezeli A. Bihorac Parisa Rashidi 15 0 0 13 Mar 2023
Mortality Prediction Models with Clinical Notes Using Sparse Attention at the Word and Sentence Levels Miguel Rios A. Abu-Hanna 16 0 0 12 Dec 2022
Explainable Artificial Intelligence Methods in Combating Pandemics: A Systematic Review F. Giuste Wenqi Shi Yuanda Zhu Tarun Naren Monica Isgut Ying Sha L. Tong Mitali S. Gupte May D. Wang 18 73 0 23 Dec 2021
Multi-Task Prediction of Clinical Outcomes in the Intensive Care Unit using Flexible Multimodal Transformers B. Shickel P. Tighe A. Bihorac Parisa Rashidi 14 5 0 09 Nov 2021
Self-explaining Neural Network with Concept-based Explanations for ICU Mortality Prediction Sayantan Kumar Sean C. Yu Thomas Kannampallil Zachary B. Abrams Andrew Michelson Philip R. O. Payne FAtt 9 7 0 09 Oct 2021
Time Series Prediction using Deep Learning Methods in Healthcare M. Morid O. R. Sheng Josef A. Dunbar OOD AI4TS 19 106 0 30 Aug 2021
Unbox the Black-box for the Medical Explainable AI via Multi-modal and Multi-centre Data Fusion: A Mini-Review, Two Showcases and Beyond Guang Yang Qinghao Ye Jun Xia 92 480 0 03 Feb 2021
The Consequences of the Framing of Machine Learning Risk Prediction Models: Evaluation of Sepsis in General Wards S. Lauritsen B. Thiesson Marianne Johansson Jørgensen A. Riis U. Espelund J. Weile Jeppe Lange 47 3 0 26 Jan 2021
Concept-based model explanations for Electronic Health Records Diana Mincu Eric Loreaux Shaobo Hou Sebastien Baur Ivan V. Protsyuk Martin G. Seneviratne A. Mottram Nenad Tomašev Alan Karthikesanlingam Jessica Schrouff 9 27 0 03 Dec 2020
Temporal Pointwise Convolutional Networks for Length of Stay Prediction in the Intensive Care Unit Emma Rocheteau Pietro Lió Stephanie L. Hyland OOD 11 56 0 18 Jul 2020
Predicting Length of Stay in the Intensive Care Unit with Temporal Pointwise Convolutional Networks Emma Rocheteau Pietro Lió Stephanie L. Hyland 13 3 0 29 Jun 2020
Performance metrics for intervention-triggering prediction models do not reflect an expected reduction in outcomes from using the model Alejandro Schuler Aashish Bhardwaj Vincent X. Liu 16 0 0 02 Jun 2020
Dynamic Predictions of Postoperative Complications from Explainable, Uncertainty-Aware, and Multi-Task Deep Neural Networks B. Shickel Tyler J. Loftus M. Ruppert Gilbert R. Upchurch T. Ozrazgat-Baslanti Parisa Rashidi A. Bihorac UQCV AI4CE 11 13 0 27 Apr 2020
Sequential Interpretability: Methods, Applications, and Future Direction for Understanding Deep Learning Models in the Context of Sequential Data B. Shickel Parisa Rashidi AI4TS 25 17 0 27 Apr 2020
A Physiology-Driven Computational Model for Post-Cardiac Arrest Outcome Prediction Hanbiehn Kim Hieu Nguyen Qingchu Jin Sharmila Tamby Tatiana Gelaf Romer ... J. Greenstein J. Suarez C. Storm R. Winslow R. Stevens 31 6 0 09 Feb 2020
Interpretable Machine Learning Model for Early Prediction of Mortality in Elderly Patients with Multiple Organ Dysfunction Syndrome (MODS): a Multicenter Retrospective Study and Cross Validation Xiaoli Liu P. Hu Zhi Mao Po-Chih Kuo Peiyao Li ... Desen Cao R. Mark L. A. Celi Zhengbo Zhang Feihu Zhou AI4CE 14 5 0 28 Jan 2020
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 19 296 0 03 Dec 2019
Hybrid Text Feature Modeling for Disease Group Prediction using Unstructured Physician Notes G. Krishnan Sowmya S Kamath 13 3 0 26 Nov 2019
Machine learning for early prediction of circulatory failure in the intensive care unit Stephanie L. Hyland M. Faltys Matthias Huser Xinrui Lyu Thomas Gumbsch ... M. Zimmermann D. Bodenham Karsten M. Borgwardt Gunnar Rätsch T. Merz 9 8 0 16 Apr 2019