Corrigendum: Identification of Variable Importance for Predictions of Mortality From COVID-19 Using AI Models for Ontario, Canada

Corrigendum: Identification of Variable Importance for Predictions of Mortality From COVID-19 Using AI Models for Ontario, Canada

Bibliographic Details
Main Authors:	Brett Snider, Edward A. McBean, John Yawney, S. Andrew Gadsden, Bhumi Patel
Format:	Article
Language:	English
Published:	Frontiers Media S.A. 2021-09-01
Series:	Frontiers in Public Health
Subjects:	artificial intelligence XGBoost SHapley COVID-19 mortality
Online Access:	https://www.frontiersin.org/articles/10.3389/fpubh.2021.759014/full

Similar Items

Identification of Variable Importance for Predictions of Mortality From COVID-19 Using AI Models for Ontario, Canada
by: Brett Snider, et al.
Published: (2021-06-01)

Use of AI to assess COVID-19 variant impacts on hospitalization, ICU, and death
by: Waleed Hilal, et al.
Published: (2022-11-01)

Using Machine Learning to Classify Human Fetal Health and Analyze Feature Importance
by: Yiqiao Yin, et al.
Published: (2023-04-01)

Asymptomatic Cases, the Hidden Challenge in Predicting COVID-19 Caseload Increases
by: Brett Snider, et al.
Published: (2021-04-01)

Prediction of Chronological Age in Healthy Elderly Subjects with Machine Learning from MRI Brain Segmentation and Cortical Parcellation
by: Jaime Gómez-Ramírez, et al.
Published: (2022-04-01)

Factor analysis based on SHapley Additive exPlanations for sepsis-associated encephalopathy in ICU mortality prediction using XGBoost — a retrospective study based on two large database
by: Jiayu Guo, et al.
Published: (2023-12-01)

Prediction model of ocular metastasis from primary liver cancer: Machine learning‐based development and interpretation study
by: Jin‐Qi Sun, et al.
Published: (2023-10-01)

Severity Prediction of Highway Crashes in Saudi Arabia Using Machine Learning Techniques
by: Ibrahim Aldhari, et al.
Published: (2022-12-01)

XGBoost-based short-term prediction method for power system inertia and its interpretability
by: Lei Zhang, et al.
Published: (2023-09-01)

Exploring predictors of welfare dependency 1, 3, and 5 years after mental health-related absence in danish municipalities between 2010 and 2012 using flexible machine learning modelling
by: Søren Skotte Bjerregaard
Published: (2023-02-01)

Comparison of Four Machine Learning Techniques for Prediction of Intensive Care Unit Length of Stay in Heart Transplantation Patients
by: Kan Wang, et al.
Published: (2022-06-01)

Advancing polytrauma care: developing and validating machine learning models for early mortality prediction
by: Wen He, et al.
Published: (2023-09-01)

Uncovering the Impact of Local and Global Interests in Artists on Stock Prices of K-Pop Entertainment Companies: A SHAP-XGBoost Analysis
by: Daeun Yu, et al.
Published: (2023-05-01)

Regional variation of premature mortality in Ontario, Canada: a spatial analysis
by: Emmalin Buajitti, et al.
Published: (2019-07-01)

Application of Explainable Artificial Intelligence (XAI) in Urban Growth Modeling: A Case Study of Seoul Metropolitan Area, Korea
by: Minjun Kim, et al.
Published: (2023-02-01)

An XGBoost-SHAP approach to quantifying morphological impact on urban flooding susceptibility
by: Mo Wang, et al.
Published: (2023-12-01)

Patterns of seasonal and pandemic influenza-associated health care and mortality in Ontario, Canada
by: Michael Li, et al.
Published: (2019-09-01)

An Integrative Explainable Artificial Intelligence Approach to Analyze Fine-Scale Land-Cover and Land-Use Factors Associated with Spatial Distributions of Place of Residence of Reported Dengue Cases
by: Hsiu Yang, et al.
Published: (2023-04-01)

The role of booster vaccination in decreasing COVID-19 age-adjusted case fatality rate: Evidence from 32 countries
by: Cui Zhou, et al.
Published: (2023-04-01)

A generalizable and interpretable model for mortality risk stratification of sepsis patients in intensive care unit
by: Jinhu Zhuang, et al.
Published: (2023-09-01)

Empirical Study of Stability and Fairness of Schemes for Benefit Distribution in Local Energy Communities
by: Steffen Limmer
Published: (2023-02-01)

An optimized XGBoost-based machine learning method for predicting wave run-up on a sloping beach
by: Dede Tarwidi, et al.
Published: (2023-01-01)

An AI-Enabled ensemble method for rainfall forecasting using Long-Short term memory
by: Sarth Kanani, et al.
Published: (2023-03-01)

Contemporary challenges and AI solutions in port operations: applying Gale–Shapley algorithm to find best matches
by: Mehran Farzadmehr, et al.
Published: (2023-09-01)

Explainable AI for Machine Fault Diagnosis: Understanding Features’ Contribution in Machine Learning Models for Industrial Condition Monitoring
by: Eugenio Brusa, et al.
Published: (2023-02-01)

Improving Mortality Risk Prediction with Routine Clinical Data: A Practical Machine Learning Model Based on eICU Patients
by: Zhao S, et al.
Published: (2023-07-01)

Age- and sex-specific associations of frailty with mortality and healthcare utilization in community-dwelling adults from Ontario, Canada
by: Chris P. Verschoor, et al.
Published: (2024-03-01)

Predicting ICU Mortality in Rheumatic Heart Disease: Comparison of XGBoost and Logistic Regression
by: Yixian Xu, et al.
Published: (2022-02-01)

Unboxing Industry-Standard AI Models for Male Fertility Prediction with SHAP
by: Debasmita GhoshRoy, et al.
Published: (2023-03-01)

Feature importance: Opening a soil-transmitted helminth machine learning model via SHAP
by: Carlos Matias Scavuzzo, et al.
Published: (2022-03-01)

Diabetes Risk Prediction using Feature Importance Extreme Gradient Boosting (XGBoost)
by: Kartina Diah Kusuma Wardani, et al.
Published: (2023-08-01)

Erratum: Weighted shapley value: a cooperative game theory for loss allocation in distribution systems
by: Frontiers Production Office
Published: (2023-05-01)

Weighted shapley value: A cooperative game theory for loss allocation in distribution systems
by: Vijay Pal Singh, et al.
Published: (2023-03-01)

AKTARMA PROBLEMİNİN OYUN TEORİSİ İLE ÇÖZÜMÜNE YÖNELİK BİR YAKLAŞIM
by: Bilal ŞİŞMAN, et al.
Published: (2015-09-01)

Geographic disparity in premature mortality in Ontario, 1992–1996
by: Torrance-Rynard Vicki L, et al.
Published: (2003-09-01)

Socioeconomic gradient in mortality of working age and older adults with multiple long-term conditions in England and Ontario, Canada.
by: Anne Alarilla, et al.
Published: (2022-08-01)

Spatial epidemiology of premature mortality in Ontario, Canada
by: Emmalin Buajitti, et al.
Published: (2018-09-01)

Unraveling the Dysbiosis of Vaginal Microbiome to Understand Cervical Cancer Disease Etiology—An Explainable AI Approach
by: Karthik Sekaran, et al.
Published: (2023-04-01)

Explainable Machine Learning-Based Risk Prediction Model for In-Hospital Mortality after Continuous Renal Replacement Therapy Initiation
by: Pei-Shan Hung, et al.
Published: (2022-06-01)

GPUTreeShap: massively parallel exact calculation of SHAP scores for tree ensembles
by: Rory Mitchell, et al.
Published: (2022-04-01)