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Urgency Prediction for Medical Laboratory Tests Through Optimal Sparse Decision Tree: Case Study With Echocardiograms

Urgency Prediction for Medical Laboratory Tests Through Optimal Sparse Decision Tree: Case Study With Echocardiograms

Furthermore, there has been an increase in the prevalence of children with asymptomatic murmurs who necessitate evaluation through echocardiogram [8]. The increasing demands pose challenges to echocardiogram laboratories in resource management, requiring medical institutions to establish more effective scheduling protocols to prioritize patients in critical need of echocardiogram lab appointments.

Yiqun Jiang, Qing Li, Yu-Li Huang, Wenli Zhang

JMIR AI 2025;4:e64188

Accurate Modeling of Ejection Fraction and Stroke Volume With Mobile Phone Auscultation: Prospective Case-Control Study

Accurate Modeling of Ejection Fraction and Stroke Volume With Mobile Phone Auscultation: Prospective Case-Control Study

All participants had a transthoracic echocardiogram within 30 days. At site 2, a large community clinical site in the Northeastern United States, patients already scheduled for outpatient transthoracic echocardiogram were enrolled at the time of the study, and recordings were obtained at the same time as the echo. To minimize audible confounding, the team excluded patients with mechanical heart valves.

Martin Huecker, Craig Schutzman, Joshua French, Karim El-Kersh, Shahab Ghafghazi, Ravi Desai, Daniel Frick, Jarred Jeremy Thomas

JMIR Cardio 2024;8:e57111

Developing a Provincial Surveillance and Support System for Childhood Cancer Survivors: Multiphase User-Centered Design Study

Developing a Provincial Surveillance and Support System for Childhood Cancer Survivors: Multiphase User-Centered Design Study

Childhood cancer survivors who were eligible for the surveillance tests of interest (echocardiogram, mammogram/breast MRI, or colonoscopy) but had not attended a specialized survivor clinic in over 5 years were invited from 3 such clinics in Ontario (some survivors were reinvited for an interview from Step 1). Family physicians were recruited through social media and family medicine networks.

Jennifer Shuldiner, Nida Shah, Catherine Reis, Ian Chalmers, Noah Ivers, Paul Nathan

JMIR Hum Factors 2022;9(3):e37606