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Correction:Diagnostic Accuracy of Chest Computed Tomography Scans for Suspected Patients With COVID-19: Receiver Operating Characteristic Curve Analysis

Correction:Diagnostic Accuracy of Chest Computed Tomography Scans for Suspected Patients With COVID-19: Receiver Operating Characteristic Curve Analysis

Diagnostic Accuracy of Chest Computed Tomography Scans for Suspected Patients With COVID-19: Receiver Operating Characteristic Curve Analysis” (JMIR Public Health Surveill 2020;6(4):e19424), the authors noted one error.The affiliation for authors Lianpin Wu, Qike Jin

Lianpin Wu, Qike Jin, Jie Chen, Jiawei He, David M Brett-Major, Jianghu James Dong

JMIR Public Health Surveill 2020;6(4):e25829

Visual Analytic Tools and Techniques in Population Health and Health Services Research: Scoping Review

Visual Analytic Tools and Techniques in Population Health and Health Services Research: Scoping Review

et al, 2017 [82]; Yu et al, 2018 [74]Government, ministry, or health department35 (64)Abusharekh et al, 2015 [67]; Afzal et al, 2011 [85]; Alonso et al, 2012 [92]; Antunes de Mendonca et al, 2015 [86]; Baytas et al, 2016 [80]; Benis et al, 2017 [89]; Bryan

Jawad Ahmed Chishtie, Jean-Sebastien Marchand, Luke A Turcotte, Iwona Anna Bielska, Jessica Babineau, Monica Cepoiu-Martin, Michael Irvine, Sarah Munce, Sally Abudiab, Marko Bjelica, Saima Hossain, Muhammad Imran, Tara Jeji, Susan Jaglal

J Med Internet Res 2020;22(12):e17892

Artificial Intelligence–Based Multimodal Risk Assessment Model for Surgical Site Infection (AMRAMS): Development and Validation Study

Artificial Intelligence–Based Multimodal Risk Assessment Model for Surgical Site Infection (AMRAMS): Development and Validation Study

old-fashioned NNIS risk index is capable of doing, (2) semantic information from preoperative notes would improve the model performance, and (3) deep learning implementations would outperform conventional machine learning implementations.MethodsSource of DataThe Rui Jin

Weijia Chen, Zhijun Lu, Lijue You, Lingling Zhou, Jie Xu, Ken Chen

JMIR Med Inform 2020;8(6):e18186

Author Contribution Correction: An Integrated Influenza Surveillance Framework Based on National Influenza-Like Illness Incidence and Multiple Hospital Electronic Medical Records for Early Prediction of Influenza Epidemics: Design and Evaluation

Author Contribution Correction: An Integrated Influenza Surveillance Framework Based on National Influenza-Like Illness Incidence and Multiple Hospital Electronic Medical Records for Early Prediction of Influenza Epidemics: Design and Evaluation

Influenza Surveillance Framework Based on National Influenza-Like Illness Incidence and Multiple Hospital Electronic Medical Records for Early Prediction of Influenza Epidemics: Design and Evaluation” (J Med Internet Res 2019;21(2):e12341) inadvertently marked Yu-Sheng

Cheng-Yi Yang, Ray-Jade Chen, Wan-Lin Chou, Yuarn-Jang Lee, Yu-Sheng Lo

J Med Internet Res 2019;21(3):e13699

mHealth App for Patient Self-Management of Chronic Kidney Disease Improves Renal Outcome: Pilot Study

mHealth App for Patient Self-Management of Chronic Kidney Disease Improves Renal Outcome: Pilot Study

MAUnited States5Renal Division, Department of MedicineHarvard Medical SchoolBrigham and Women's HospitalBoston, MAUnited StatesCorresponding Author: Jiahua Li jli54@bwh.harvard.eduJul-Dec20181709201842e117772820182982018©Xuyong Chen, Shasha Xie, Xiaojuan Yu

Xuyong Chen, Shasha Xie, Xiaojuan Yu, Zhibin Chen, Min Zhuo, Jiahua Li

iproc 2018;4(2):e11777