Theme Issue: Medical Informatics and COVID-19

The Real-World Experiences of Persons With Multiple Sclerosis During the First COVID-19 Lockdown: Application of Natural Language Processing

Deborah Chiavi, Christina Haag, Andrew Chan, Christian Philipp Kamm, Chloé Sieber, Mina Stanikić, Stephanie Rodgers, Caroline Pot, Jürg Kesselring, Anke Salmen, Irene Rapold, Pasquale Calabrese, Zina-Mary Manjaly, Claudio Gobbi, Chiara Zecca, Sebastian Walther, Katharina Stegmayer, Robert Hoepner, Milo Puhan, Viktor von Wyl

JMIR Med Inform 2022 (Nov 10); 10(11):e37945

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Discovery and Analytical Validation of a Vocal Biomarker to Monitor Anosmia and Ageusia in Patients With COVID-19: Cross-sectional Study

Eduardo Higa, Abir Elbéji, Lu Zhang, Aurélie Fischer, Gloria A Aguayo, Petr V Nazarov, Guy Fagherazzi

JMIR Med Inform 2022 (Nov 08); 10(11):e35622

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Identifying the Perceived Severity of Patient-Generated Telemedical Queries Regarding COVID: Developing and Evaluating a Transfer Learning–Based Solution

Joseph Gatto, Parker Seegmiller, Garrett Johnston, Sarah Masud Preum

JMIR Med Inform 2022 (Sep 02); 10(9):e37770

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Synergy Between Public and Private Health Care Organizations During COVID-19 on Twitter: Sentiment and Engagement Analysis Using Forecasting Models

Aditya Singhal, Manmeet Kaur Baxi, Vijay Mago

JMIR Med Inform 2022 (Aug 18); 10(8):e37829

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Combating COVID-19 Using Generative Adversarial Networks and Artificial Intelligence for Medical Images: Scoping Review

Hazrat Ali, Zubair Shah

JMIR Med Inform 2022 (Jun 29); 10(6):e37365

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Virtual Specialist Care During the COVID-19 Pandemic: Multimethod Patient Experience Study

Katie N Dainty, M Bianca Seaton, Antonio Estacio, Lisa K Hicks, Trevor Jamieson, Sarah Ward, Catherine H Yu, Jeffrey D Mosko, Charles D Kassardjian

JMIR Med Inform 2022 (Jun 28); 10(6):e37196

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Predicting 30-Day Readmission Risk for Patients With Chronic Obstructive Pulmonary Disease Through a Federated Machine Learning Architecture on Findable, Accessible, Interoperable, and Reusable (FAIR) Data: Development and Validation Study

Celia Alvarez-Romero, Alicia Martinez-Garcia, Jara Ternero Vega, Pablo Díaz-Jimènez, Carlos Jimènez-Juan, María Dolores Nieto-Martín, Esther Román Villarán, Tomi Kovacevic, Darijo Bokan, Sanja Hromis, Jelena Djekic Malbasa, Suzana Beslać, Bojan Zaric, Mert Gencturk, A Anil Sinaci, Manuel Ollero Baturone, Carlos Luis Parra Calderón

JMIR Med Inform 2022 (Jun 02); 10(6):e35307

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Experiences and Challenges of Emerging Online Health Services Combating COVID-19 in China: Retrospective, Cross-Sectional Study of Internet Hospitals

Fangmin Ge, Huan Qian, Jianbo Lei, Yiqi Ni, Qian Li, Song Wang, Kefeng Ding

JMIR Med Inform 2022 (Jun 01); 10(6):e37042

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Deep Neural Networks for Simultaneously Capturing Public Topics and Sentiments During a Pandemic: Application on a COVID-19 Tweet Data Set

Adrien Boukobza, Anita Burgun, Bertrand Roudier, Rosy Tsopra

JMIR Med Inform 2022 (May 25); 10(5):e34306

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An Analysis of French-Language Tweets About COVID-19 Vaccines: Supervised Learning Approach

Romy Sauvayre, Jessica Vernier, Cédric Chauvière

JMIR Med Inform 2022 (May 17); 10(5):e37831

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Exploring Sentiment and Care Management of Hospitalized Patients During the First Wave of the COVID-19 Pandemic Using Electronic Nursing Health Records: Descriptive Study

Juan Nicolás Cuenca-Zaldívar, Maria Torrente-Regidor, Laura Martín-Losada, César Fernández-De-Las-Peñas, Lidiane Lima Florencio, Pedro Alexandre Sousa, Domingo Palacios-Ceña

JMIR Med Inform 2022 (May 12); 10(5):e38308

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Predicting COVID-19 Symptoms From Free Text in Medical Records Using Artificial Intelligence: Feasibility Study

Josefien Van Olmen, Jens Van Nooten, Hilde Philips, Annet Sollie, Walter Daelemans

JMIR Med Inform 2022 (Apr 27); 10(4):e37771

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Interactive Versus Static Decision Support Tools for COVID-19: Randomized Controlled Trial

Alice Röbbelen, Malte L Schmieding, Marvin Kopka, Felix Balzer, Markus A Feufel

JMIR Public Health Surveill 2022 (Apr 15); 8(4):e33733

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Investigating Health Context Using a Spatial Data Analytical Tool: Development of a Geospatial Big Data Ecosystem

Timothy Haithcoat, Danlu Liu, Tiffany Young, Chi-Ren Shyu

JMIR Med Inform 2022 (Apr 06); 10(4):e35073

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Physician Burnout and the Electronic Health Record Leading Up to and During the First Year of COVID-19: Systematic Review

Clemens Scott Kruse, Michael Mileski, Gevin Dray, Zakia Johnson, Cameron Shaw, Harsha Shirodkar

J Med Internet Res 2022 (Mar 31); 24(3):e36200

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Disease-Course Adapting Machine Learning Prognostication Models in Elderly Patients Critically Ill With COVID-19: Multicenter Cohort Study With External Validation

Christian Jung, Behrooz Mamandipoor, Jesper Fjølner, Raphael Romano Bruno, Bernhard Wernly, Antonio Artigas, Bernardo Bollen Pinto, Joerg C Schefold, Georg Wolff, Malte Kelm, Michael Beil, Sigal Sviri, Peter V van Heerden, Wojciech Szczeklik, Miroslaw Czuczwar, Muhammed Elhadi, Michael Joannidis, Sandra Oeyen, Tilemachos Zafeiridis, Brian Marsh, Finn H Andersen, Rui Moreno, Maurizio Cecconi, Susannah Leaver, Dylan W De Lange, Bertrand Guidet, Hans Flaatten, Venet Osmani

JMIR Med Inform 2022 (Mar 31); 10(3):e32949

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The Disparity and Dynamics of Social Distancing Behaviors in Japan: Investigation of Mobile Phone Mobility Data

Zeyu Lyu, Hiroki Takikawa

JMIR Med Inform 2022 (Mar 22); 10(3):e31557

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Exploring Quality Differences in Telemedicine Between Hospital Outpatient Departments and Community Clinics: Cross-sectional Study

Noora Alhajri, Mecit Can Emre Simsekler, Buthaina Alfalasi, Mohamed Alhashmi, Hamda Memon, Emma Housser, Abdulhamid Mustafa Abdi, Nahed Balalaa, Maryam Al Ali, Raghda Almaashari, Shammah Al Memari, Farida Al Hosani, Yousif Al Zaabi, Shereena Almazrouei, Hamed Alhashemi

JMIR Med Inform 2022 (Feb 15); 10(2):e32373

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Effects of Social Media Use for Health Information on COVID-19–Related Risk Perceptions and Mental Health During Pregnancy: Web-Based Survey

Qian Wang, Luyao Xie, Bo Song, Jiangli Di, Linhong Wang, Phoenix Kit-Han Mo

JMIR Med Inform 2022 (Jan 13); 10(1):e28183

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