Theme Issue: Medical Informatics and COVID-19

An Artificial Intelligence Model to Predict the Mortality of COVID-19 Patients at Hospital Admission Time Using Routine Blood Samples: Development and Validation of an Ensemble Model

Hoon Ko, Heewon Chung, Wu Seong Kang, Chul Park, Do Wan Kim, Seong Eun Kim, Chi Ryang Chung, Ryoung Eun Ko, Hooseok Lee, Jae Ho Seo, Tae-Young Choi, Rafael Jaimes, Kyung Won Kim, Jinseok Lee

J Med Internet Res 2020 (Dec 23); 22(12):e25442

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Global Infectious Disease Surveillance and Case Tracking System for COVID-19: Development Study

Hsiu-An Lee, Hsin-Hua Kung, Yuarn-Jang Lee, Jane C-J Chao, Jai Ganesh Udayasankaran, Hueng-Chuen Fan, Kwok-Keung Ng, Yu-Kang Chang, Boonchai Kijsanayotin, Alvin B Marcelo, Chien-Yeh Hsu

JMIR Med Inform 2020 (Dec 22); 8(12):e20567

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Growth of Ambulatory Virtual Visits and Differential Use by Patient Sociodemographics at One Urban Academic Medical Center During the COVID-19 Pandemic: Retrospective Analysis

Sarah F Gilson, Craig A Umscheid, Neda Laiteerapong, Graeme Ossey, Kenneth J Nunes, Sachin D Shah

JMIR Med Inform 2020 (Dec 04); 8(12):e24544

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Applying eHealth for Pandemic Management in Saudi Arabia in the Context of COVID-19: Survey Study and Framework Proposal

Abdullah Alsharif

JMIR Med Inform 2020 (Nov 26); 8(11):e19524

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Prediction of COVID-19 Severity Using Chest Computed Tomography and Laboratory Measurements: Evaluation Using a Machine Learning Approach

Daowei Li, Qiang Zhang, Yue Tan, Xinghuo Feng, Yuanyi Yue, Yuhan Bai, Jimeng Li, Jiahang Li, Youjun Xu, Shiyu Chen, Si-Yu Xiao, Muyan Sun, Xiaona Li, Fang Zhu

JMIR Med Inform 2020 (Nov 17); 8(11):e21604

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Toward Preparing a Knowledge Base to Explore Potential Drugs and Biomedical Entities Related to COVID-19: Automated Computational Approach

Junaed Younus Khan, Md Tawkat Islam Khondaker, Iram Tazim Hoque, Hamada R H Al-Absi, Mohammad Saifur Rahman, Reto Guler, Tanvir Alam, M Sohel Rahman

JMIR Med Inform 2020 (Nov 10); 8(11):e21648

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An Easy-to-Use Machine Learning Model to Predict the Prognosis of Patients With COVID-19: Retrospective Cohort Study

Hyung-Jun Kim, Deokjae Han, Jeong-Han Kim, Daehyun Kim, Beomman Ha, Woong Seog, Yeon-Kyeng Lee, Dosang Lim, Sung Ok Hong, Mi-Jin Park, JoonNyung Heo

J Med Internet Res 2020 (Nov 09); 22(11):e24225

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Machine Learning to Predict Mortality and Critical Events in a Cohort of Patients With COVID-19 in New York City: Model Development and Validation

Akhil Vaid, Sulaiman Somani, Adam J Russak, Jessica K De Freitas, Fayzan F Chaudhry, Ishan Paranjpe, Kipp W Johnson, Samuel J Lee, Riccardo Miotto, Felix Richter, Shan Zhao, Noam D Beckmann, Nidhi Naik, Arash Kia, Prem Timsina, Anuradha Lala, Manish Paranjpe, Eddye Golden, Matteo Danieletto, Manbir Singh, Dara Meyer, Paul F O'Reilly, Laura Huckins, Patricia Kovatch, Joseph Finkelstein, Robert M. Freeman, Edgar Argulian, Andrew Kasarskis, Bethany Percha, Judith A Aberg, Emilia Bagiella, Carol R Horowitz, Barbara Murphy, Eric J Nestler, Eric E Schadt, Judy H Cho, Carlos Cordon-Cardo, Valentin Fuster, Dennis S Charney, David L Reich, Erwin P Bottinger, Matthew A Levin, Jagat Narula, Zahi A Fayad, Allan C Just, Alexander W Charney, Girish N Nadkarni, Benjamin S Glicksberg

J Med Internet Res 2020 (Nov 06); 22(11):e24018

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Adoption of Digital Technologies in Health Care During the COVID-19 Pandemic: Systematic Review of Early Scientific Literature

Davide Golinelli, Erik Boetto, Gherardo Carullo, Andrea Giovanni Nuzzolese, Maria Paola Landini, Maria Pia Fantini

J Med Internet Res 2020 (Nov 06); 22(11):e22280

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openEHR Archetype Use and Reuse Within Multilingual Clinical Data Sets: Case Study

Heather Leslie

J Med Internet Res 2020 (Nov 02); 22(11):e23361

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Clinical Characteristics and Prognostic Factors for Intensive Care Unit Admission of Patients With COVID-19: Retrospective Study Using Machine Learning and Natural Language Processing

Jose Luis Izquierdo, Julio Ancochea, Savana COVID-19 Research Group, Joan B Soriano

J Med Internet Res 2020 (Oct 28); 22(10):e21801

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Feasibility of Asynchronous and Automated Telemedicine in Otolaryngology: Prospective Cross-Sectional Study

Dongchul Cha, Seung Ho Shin, Jungghi Kim, Tae Seong Eo, Gina Na, Seonghoon Bae, Jinsei Jung, Sung Huhn Kim, In Seok Moon, Jaeyoung Choi, Yu Rang Park

JMIR Med Inform 2020 (Oct 19); 8(10):e23680

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A Computer-Interpretable Guideline for COVID-19: Rapid Development and Dissemination

Shan Nan, Tianhua Tang, Hongshuo Feng, Yijie Wang, Mengyang Li, Xudong Lu, Huilong Duan

JMIR Med Inform 2020 (Oct 01); 8(10):e21628

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Applying Blockchain Technology to Address the Crisis of Trust During the COVID-19 Pandemic

Anjum Khurshid

JMIR Med Inform 2020 (Sep 22); 8(9):e20477

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Nomogram for Predicting COVID-19 Disease Progression Based on Single-Center Data: Observational Study and Model Development

Tao Fan, Bo Hao, Shuo Yang, Bo Shen, Zhixin Huang, Zilong Lu, Rui Xiong, Xiaokang Shen, Wenyang Jiang, Lin Zhang, Donghang Li, Ruyuan He, Heng Meng, Weichen Lin, Haojie Feng, Qing Geng

JMIR Med Inform 2020 (Sep 08); 8(9):e19588

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A QR Code–Based Contact Tracing Framework for Sustainable Containment of COVID-19: Evaluation of an Approach to Assist the Return to Normal Activity

Ichiro Nakamoto, Sheng Wang, Yan Guo, Weiqing Zhuang

JMIR Mhealth Uhealth 2020 (Sep 07); 8(9):e22321

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Telemonitoring for Patients With COVID-19: Recommendations for Design and Implementation

Anna V Silven, Annelieke H J Petrus, María Villalobos-Quesada, Ebru Dirikgil, Carlijn R Oerlemans, Cyril P Landstra, Hileen Boosman, Hendrikus J A van Os, Marco H Blanker, Roderick W Treskes, Tobias N Bonten, Niels H Chavannes, Douwe E Atsma, Y K Onno Teng

J Med Internet Res 2020 (Sep 02); 22(9):e20953

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Nationwide Results of COVID-19 Contact Tracing in South Korea: Individual Participant Data From an Epidemiological Survey

Seung Won Lee, Woon Tak Yuh, Jee Myung Yang, Yoon-Sik Cho, In Kyung Yoo, Hyun Yong Koh, Dominic Marshall, Donghwan Oh, Eun Kyo Ha, Man Yong Han, Dong Keon Yon

JMIR Med Inform 2020 (Aug 25); 8(8):e20992

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Natural Language Processing for Rapid Response to Emergent Diseases: Case Study of Calcium Channel Blockers and Hypertension in the COVID-19 Pandemic

Antoine Neuraz, Ivan Lerner, William Digan, Nicolas Paris, Rosy Tsopra, Alice Rogier, David Baudoin, Kevin Bretonnel Cohen, Anita Burgun, Nicolas Garcelon, Bastien Rance, AP-HP/Universities/INSERM COVID-19 Research Collaboration; AP-HP COVID CDR Initiative

J Med Internet Res 2020 (Aug 14); 22(8):e20773

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The Role of Health Technology and Informatics in a Global Public Health Emergency: Practices and Implications From the COVID-19 Pandemic

Jiancheng Ye

JMIR Med Inform 2020 (Jul 14); 8(7):e19866

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