Vol 10, No 6 (2022): June

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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Understanding the Relationship Between Mood Symptoms and Mobile App Engagement Among Patients With Breast Cancer Using Machine Learning: Case Study

Anna N Baglione, Lihua Cai, Aram Bahrini, Isabella Posey, Mehdi Boukhechba, Philip I Chow

JMIR Med Inform 2022 (Jun 02); 10(6):e30712

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Noninvasive Screening Tool for Hyperkalemia Using a Single-Lead Electrocardiogram and Deep Learning: Development and Usability Study

Erdenebayar Urtnasan, Jung Hun Lee, Byungjin Moon, Hee Young Lee, Kyuhee Lee, Hyun Youk

JMIR Med Inform 2022 (Jun 03); 10(6):e34724

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Predicting Abnormal Laboratory Blood Test Results in the Intensive Care Unit Using Novel Features Based on Information Theory and Historical Conditional Probability: Observational Study

Camilo E Valderrama, Daniel J Niven, Henry T Stelfox, Joon Lee

JMIR Med Inform 2022 (Jun 03); 10(6):e35250

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Noninvasive Diagnosis of Nonalcoholic Steatohepatitis and Advanced Liver Fibrosis Using Machine Learning Methods: Comparative Study With Existing Quantitative Risk Scores

Yonghui Wu, Xi Yang, Heather L Morris, Matthew J Gurka, Elizabeth A Shenkman, Kenneth Cusi, Fernando Bril, William T Donahoo

JMIR Med Inform 2022 (Jun 06); 10(6):e36997

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Medication-Wide Association Study Using Electronic Health Record Data of Prescription Medication Exposure and Multifetal Pregnancies: Retrospective Study

Lena Davidson, Silvia P Canelón, Mary Regina Boland

JMIR Med Inform 2022 (Jun 07); 10(6):e32229

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Error and Timeliness Analysis for Using Machine Learning to Predict Asthma Hospital Visits: Retrospective Cohort Study

Xiaoyi Zhang, Gang Luo

JMIR Med Inform 2022 (Jun 08); 10(6):e38220

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The Prediction of Preterm Birth Using Time-Series Technology-Based Machine Learning: Retrospective Cohort Study

Yichao Zhang, Sha Lu, Yina Wu, Wensheng Hu, Zhenming Yuan

JMIR Med Inform 2022 (Jun 13); 10(6):e33835

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Machine Learning Support for Decision-Making in Kidney Transplantation: Step-by-step Development of a Technological Solution

François-Xavier Paquette, Amir Ghassemi, Olga Bukhtiyarova, Moustapha Cisse, Natanael Gagnon, Alexia Della Vecchia, Hobivola A Rabearivelo, Youssef Loudiyi

JMIR Med Inform 2022 (Jun 14); 10(6):e34554

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Multitask Learning With Recurrent Neural Networks for Acute Respiratory Distress Syndrome Prediction Using Only Electronic Health Record Data: Model Development and Validation Study

Carson Lam, Rahul Thapa, Jenish Maharjan, Keyvan Rahmani, Chak Foon Tso, Navan Preet Singh, Satish Casie Chetty, Qingqing Mao

JMIR Med Inform 2022 (Jun 15); 10(6):e36202

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Identifying the Risk of Sepsis in Patients With Cancer Using Digital Health Care Records: Machine Learning–Based Approach

Donghun Yang, Jimin Kim, Junsang Yoo, Won Chul Cha, Hyojung Paik

JMIR Med Inform 2022 (Jun 15); 10(6):e37689

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Predicting Risk of Hypoglycemia in Patients With Type 2 Diabetes by Electronic Health Record–Based Machine Learning: Development and Validation

Hao Yang, Jiaxi Li, Siru Liu, Xiaoling Yang, Jialin Liu

JMIR Med Inform 2022 (Jun 16); 10(6):e36958

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Vaccine Adverse Event Mining of Twitter Conversations: 2-Phase Classification Study

Sedigheh Khademi Habibabadi, Pari Delir Haghighi, Frada Burstein, Jim Buttery

JMIR Med Inform 2022 (Jun 16); 10(6):e34305

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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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Conditional Probability Joint Extraction of Nested Biomedical Events: Design of a Unified Extraction Framework Based on Neural Networks

Yan Wang, Jian Wang, Huiyi Lu, Bing Xu, Yijia Zhang, Santosh Kumar Banbhrani, Hongfei Lin

JMIR Med Inform 2022 (Jun 07); 10(6):e37804

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Prevalence of Sensitive Terms in Clinical Notes Using Natural Language Processing Techniques: Observational Study

Jennifer Lee, Samuel Yang, Cynthia Holland-Hall, Emre Sezgin, Manjot Gill, Simon Linwood, Yungui Huang, Jeffrey Hoffman

JMIR Med Inform 2022 (Jun 10); 10(6):e38482

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Associations Between Family Member Involvement and Outcomes of Patients Admitted to the Intensive Care Unit: Retrospective Cohort Study

Tamryn F Gray, Anne Kwok, Khuyen M Do, Sandra Zeng, Edward T Moseley, Yasser M Dbeis, Renato Umeton, James A Tulsky, Areej El-Jawahri, Charlotta Lindvall

JMIR Med Inform 2022 (Jun 15); 10(6):e33921

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Perspective of Information Technology Decision Makers on Factors Influencing Adoption and Implementation of Artificial Intelligence Technologies in 40 German Hospitals: Descriptive Analysis

Lina Weinert, Julia Müller, Laura Svensson, Oliver Heinze

JMIR Med Inform 2022 (Jun 15); 10(6):e34678

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Quality Criteria for Real-world Data in Pharmaceutical Research and Health Care Decision-making: Austrian Expert Consensus

Peter Klimek, Dejan Baltic, Martin Brunner, Alexander Degelsegger-Marquez, Gerhard Garhöfer, Ghazaleh Gouya-Lechner, Arnold Herzog, Bernd Jilma, Stefan Kähler, Veronika Mikl, Bernhard Mraz, Herwig Ostermann, Claas Röhl, Robert Scharinger, Tanja Stamm, Michael Strassnig, Christa Wirthumer-Hoche, Johannes Pleiner-Duxneuner

JMIR Med Inform 2022 (Jun 17); 10(6):e34204

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A Clinical Decision Support System for Assessing the Risk of Cervical Cancer: Development and Evaluation Study

Nasrin Chekin, Haleh Ayatollahi, Mojgan Karimi Zarchi

JMIR Med Inform 2022 (Jun 22); 10(6):e34753

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