Artificial Intelligence

Machine Learning for Risk Group Identification and User Data Collection in a Herpes Simplex Virus Patient Registry: Algorithm Development and Validation Study

Svitlana Surodina, Ching Lam, Svetislav Grbich, Madison Milne-Ives, Michelle van Velthoven, Edward Meinert

JMIRx Med 2021 (Jun 11); 2(2):e25560

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Ethics and Law in Research on Algorithmic and Data-Driven Technology in Mental Health Care: Scoping Review

Piers Gooding, Timothy Kariotis

JMIR Ment Health 2021 (Jun 10); 8(6):e24668

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Informing Developmental Milestone Achievement for Children With Autism: Machine Learning Approach

Munirul M Haque, Masud Rabbani, Dipranjan Das Dipal, Md Ishrak Islam Zarif, Anik Iqbal, Amy Schwichtenberg, Naveen Bansal, Tanjir Rashid Soron, Syed Ishtiaque Ahmed, Sheikh Iqbal Ahamed

JMIR Med Inform 2021 (Jun 08); 9(6):e29242

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Deep Learning Application for Vocal Fold Disease Prediction Through Voice Recognition: Preliminary Development Study

Hao-Chun Hu, Shyue-Yih Chang, Chuen-Heng Wang, Kai-Jun Li, Hsiao-Yun Cho, Yi-Ting Chen, Chang-Jung Lu, Tzu-Pei Tsai, Oscar Kuang-Sheng Lee

J Med Internet Res 2021 (Jun 08); 23(6):e25247

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Reliable Prediction Models Based on Enriched Data for Identifying the Mode of Childbirth by Using Machine Learning Methods: Development Study

Zahid Ullah, Farrukh Saleem, Mona Jamjoom, Bahjat Fakieh

J Med Internet Res 2021 (Jun 04); 23(6):e28856

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Chatbots to Support People With Dementia and Their Caregivers: Systematic Review of Functions and Quality

Nicole Ruggiano, Ellen L Brown, Lisa Roberts, C Victoria Framil Suarez, Yan Luo, Zhichao Hao, Vagelis Hristidis

J Med Internet Res 2021 (Jun 03); 23(6):e25006

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Evaluation Framework for Successful Artificial Intelligence–Enabled Clinical Decision Support Systems: Mixed Methods Study

Mengting Ji, Georgi Z Genchev, Hengye Huang, Ting Xu, Hui Lu, Guangjun Yu

J Med Internet Res 2021 (Jun 02); 23(6):e25929

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Ethical Applications of Artificial Intelligence: Evidence From Health Research on Veterans

Christos Makridis, Seth Hurley, Mary Klote, Gil Alterovitz

JMIR Med Inform 2021 (Jun 02); 9(6):e28921

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Unsupervised Machine Learning for Identifying Challenging Behavior Profiles to Explore Cluster-Based Treatment Efficacy in Children With Autism Spectrum Disorder: Retrospective Data Analysis Study

Julie Gardner-Hoag, Marlena Novack, Chelsea Parlett-Pelleriti, Elizabeth Stevens, Dennis Dixon, Erik Linstead

JMIR Med Inform 2021 (Jun 02); 9(6):e27793

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A Multimodal Imaging–Based Deep Learning Model for Detecting Treatment-Requiring Retinal Vascular Diseases: Model Development and Validation Study

Eugene Yu-Chuan Kang, Ling Yeung, Yi-Lun Lee, Cheng-Hsiu Wu, Shu-Yen Peng, Yueh-Peng Chen, Quan-Ze Gao, Chihung Lin, Chang-Fu Kuo, Chi-Chun Lai

JMIR Med Inform 2021 (May 31); 9(5):e28868

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A Machine Learning Approach for Mortality Prediction in COVID-19 Pneumonia: Development and Evaluation of the Piacenza Score

Geza Halasz, Michela Sperti, Matteo Villani, Umberto Michelucci, Piergiuseppe Agostoni, Andrea Biagi, Luca Rossi, Andrea Botti, Chiara Mari, Marco Maccarini, Filippo Pura, Loris Roveda, Alessia Nardecchia, Emanuele Mottola, Massimo Nolli, Elisabetta Salvioni, Massimo Mapelli, Marco Agostino Deriu, Dario Piga, Massimo Piepoli

J Med Internet Res 2021 (May 31); 23(5):e29058

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A Roadmap for Automating Lineage Tracing to Aid Automatically Explaining Machine Learning Predictions for Clinical Decision Support

Gang Luo

JMIR Med Inform 2021 (May 27); 9(5):e27778

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Authors’ Reply to: Minimizing Selection and Classification Biases Comment on “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, Joan B Soriano

J Med Internet Res 2021 (May 26); 23(5):e29405

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Minimizing Selection and Classification Biases. Comment on “Clinical Characteristics and Prognostic Factors for Intensive Care Unit Admission of Patients With COVID-19: Retrospective Study Using Machine Learning and Natural Language Processing”

Francisco Martos Pérez, Ricardo Gomez Huelgas, María Dolores Martín Escalante, José Manuel Casas Rojo

J Med Internet Res 2021 (May 26); 23(5):e27142

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Personalized Analytics and a Wearable Biosensor Platform for Early Detection of COVID-19 Decompensation (DeCODe): Protocol for the Development of the COVID-19 Decompensation Index

Karen Larimer, Stephan Wegerich, Joel Splan, David Chestek, Heather Prendergast, Terry Vanden Hoek

JMIR Res Protoc 2021 (May 26); 10(5):e27271

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Artificial Intelligence Can Improve Patient Management at the Time of a Pandemic: The Role of Voice Technology

Tomasz Jadczyk, Wojciech Wojakowski, Michal Tendera, Timothy D Henry, Gregory Egnaczyk, Satya Shreenivas

J Med Internet Res 2021 (May 25); 23(5):e22959

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Addressing Biodisaster X Threats With Artificial Intelligence and 6G Technologies: Literature Review and Critical Insights

Zhaohui Su, Dean McDonnell, Barry L Bentley, Jiguang He, Feng Shi, Ali Cheshmehzangi, Junaid Ahmad, Peng Jia

J Med Internet Res 2021 (May 25); 23(5):e26109

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Improving Current Glycated Hemoglobin Prediction in Adults: Use of Machine Learning Algorithms With Electronic Health Records

Zakhriya Alhassan, Matthew Watson, David Budgen, Riyad Alshammari, Ali Alessa, Noura Al Moubayed

JMIR Med Inform 2021 (May 24); 9(5):e25237

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A COVID-19 Pandemic Artificial Intelligence–Based System With Deep Learning Forecasting and Automatic Statistical Data Acquisition: Development and Implementation Study

Cheng-Sheng Yu, Shy-Shin Chang, Tzu-Hao Chang, Jenny L Wu, Yu-Jiun Lin, Hsiung-Fei Chien, Ray-Jade Chen

J Med Internet Res 2021 (May 20); 23(5):e27806

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A Clinical Prediction Model to Predict Heparin Treatment Outcomes and Provide Dosage Recommendations: Development and Validation Study

Dongkai Li, Jianwei Gao, Na Hong, Hao Wang, Longxiang Su, Chun Liu, Jie He, Huizhen Jiang, Qiang Wang, Yun Long, Weiguo Zhu

J Med Internet Res 2021 (May 20); 23(5):e27118

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