Clinical Information and Decision Making

Prediction of Next Glucose Measurement in Hospitalized Patients by Comparing Various Regression Methods: Retrospective Cohort Study

Andrew D Zale, Mohammed S Abusamaan, John McGready, Nestoras Mathioudakis

JMIR Form Res 2023;7:e41577

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Black and Latinx Primary Caregiver Considerations for Developing and Implementing a Machine Learning–Based Model for Detecting Child Abuse and Neglect With Implications for Racial Bias Reduction: Qualitative Interview Study With Primary Caregivers

Aviv Y Landau, Ashley Blanchard, Nia Atkins, Stephanie Salazar, Kenrick Cato, Desmond U Patton, Maxim Topaz

JMIR Form Res 2023;7:e40194

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The Association Between Comorbidities and Prescribed Drugs in Patients With Suspected Obstructive Sleep Apnea: Inductive Rule Learning Approach

Daniela Ferreira-Santos, Pedro Pereira Rodrigues

J Med Internet Res 2023;25:e39103

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A Machine Learning Approach to Support Urgent Stroke Triage Using Administrative Data and Social Determinants of Health at Hospital Presentation: Retrospective Study

Min Chen, Xuan Tan, Rema Padman

J Med Internet Res 2023;25:e36477

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The Application of Artificial Intelligence in Health Care Resource Allocation Before and During the COVID-19 Pandemic: Scoping Review

Hao Wu, Xiaoyu Lu, Hanyu Wang

JMIR AI 2023;2:e38397

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Using Decision Trees as an Expert System for Clinical Decision Support for COVID-19

Dillon Chrimes

Interact J Med Res 2023;12:e42540

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Unique Device Identification–Based Linkage of Hierarchically Accessible Data Domains in Prospective Surgical Hospital Data Ecosystems: User-Centered Design Approach

Karol Kozak, André Seidel, Nataliia Matvieieva, Constanze Neupetsch, Uwe Teicher, Gordon Lemme, Anas Ben Achour, Martin Barth, Steffen Ihlenfeldt, Welf-Guntram Drossel

JMIR Med Inform 2023;11:e41614

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The Ability of Austrian Qualified Physiotherapists to Make Accurate Keep-Refer Decisions and to Detect Serious Pathologies Based on Clinical Vignettes: Protocol for a Cross-sectional Web-Based Survey

Wolfgang Lackenbauer, Simon Gasselich, Martina Edda Lickel, Reinhard Beikircher, Christian Keip, Florian Rausch, Manfred Wieser, James Selfe, Jessie Janssen

JMIR Res Protoc 2023;12:e43028

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The Perceived Ease of Use and Perceived Usefulness of a Web-Based Interprofessional Communication and Collaboration Platform in the Hospital Setting: Interview Study With Health Care Providers

Jason Xin Nie, Christine Heidebrecht, Andrea Zettler, Jacklyn Pearce, Rafael Cunha, Sherman Quan, Elizabeth Mansfield, Terence Tang

JMIR Hum Factors 2023;10:e39051

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Patient-Facing Clinical Decision Support for High Blood Pressure Control: Patient Survey

David Dorr, Chris D'Autremont, Joshua E Richardson, Michelle Bobo, Christopher Terndrup, M J Dunne, Anthony Cheng, Robert Rope

JMIR Cardio 2023;7:e39490

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Investigation and Countermeasures Research of Hospital Information Construction of Tertiary Class-A Public Hospitals in China: Questionnaire Study

Chang Shu, Yueyue Chen, Huiyuan Yang, Ran Tao, Xiaoping Chen, Jingjing Yu

JMIR Form Res 2023;7:e41820

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Ontologies Applied in Clinical Decision Support System Rules: Systematic Review

Xia Jing, Hua Min, Yang Gong, Paul Biondich, David Robinson, Timothy Law, Christian Nohr, Arild Faxvaag, Lior Rennert, Nina Hubig, Ronald Gimbel

JMIR Med Inform 2023;11:e43053

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An End-to-End Natural Language Processing Application for Prediction of Medical Case Coding Complexity: Algorithm Development and Validation

He Ayu Xu, Bernard Maccari, Hervé Guillain, Julien Herzen, Fabio Agri, Jean Louis Raisaro

JMIR Med Inform 2023;11:e38150

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Predicting Openness of Communication in Families With Hereditary Breast and Ovarian Cancer Syndrome: Natural Language Processing Analysis

Vasiliki Baroutsou, Rodrigo Cerqueira Gonzalez Pena, Reka Schweighoffer, Maria Caiata-Zufferey, Sue Kim, Sharlene Hesse-Biber, Florina M Ciorba, Gerhard Lauer, Maria Katapodi, CASCADE Consortium

JMIR Form Res 2023;7:e38399

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Web-Based Asynchronous Tool to Facilitate Communication Between Primary Care Providers and Cancer Specialists: Pragmatic Randomized Controlled Trial

Bojana Petrovic, Jim A Julian, Clare Liddy, Amir Afkham, Sharon F McGee, Scott C Morgan, Roanne Segal, Jonathan Sussman, Gregory R Pond, Mary Ann O'Brien, Jacqueline L Bender, Eva Grunfeld

J Med Internet Res 2023;25:e40725

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Nudging Health Care Providers’ Adoption of Clinical Decision Support: Protocol for the User-Centered Development of a Behavioral Economics–Inspired Electronic Health Record Tool

Safiya Richardson, Katherine Dauber-Decker, Jeffrey Solomon, Sundas Khan, Douglas Barnaby, John Chelico, Michael Qiu, Yan Liu, Devin Mann, Renee Pekmezaris, Thomas McGinn, Michael Diefenbach

JMIR Res Protoc 2023;12:e42653

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Accuracy of COVID-19–Like Illness Diagnoses in Electronic Health Record Data: Retrospective Cohort Study

Suchitra Rao, Catherine Bozio, Kristen Butterfield, Sue Reynolds, Sarah E Reese, Sarah Ball, Andrea Steffens, Maria Demarco, Charlene McEvoy, Mark Thompson, Elizabeth Rowley, Rachael M Porter, Rebecca V Fink, Stephanie A Irving, Allison Naleway

JMIR Form Res 2023;7:e39231

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Perioperative Risk Assessment of Patients Using the MyRISK Digital Score Completed Before the Preanesthetic Consultation: Prospective Observational Study

Fabrice Ferré, Rodolphe Laurent, Philippine Furelau, Emmanuel Doumard, Anne Ferrier, Laetitia Bosch, Cyndie Ba, Rémi Menut, Matt Kurrek, Thomas Geeraerts, Antoine Piau, Vincent Minville

JMIR Perioper Med 2023;6:e39044

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An Accurate Deep Learning–Based System for Automatic Pill Identification: Model Development and Validation

Junyeong Heo, Youjin Kang, SangKeun Lee, Dong-Hwa Jeong, Kang-Min Kim

J Med Internet Res 2023;25:e41043

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Interpretable Deep-Learning Approaches for Osteoporosis Risk Screening and Individualized Feature Analysis Using Large Population-Based Data: Model Development and Performance Evaluation

Bogyeong Suh, Heejin Yu, Hyeyeon Kim, Sanghwa Lee, Sunghye Kong, Jin-Woo Kim, Jongeun Choi

J Med Internet Res 2023;25:e40179

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