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PLOS Digital Health|October 25, 2024
Machine Learning For Risk Prediction After Heart Failure Emergency Department Visit or Hospital Admission Using Administrative Health DataNowell M Fine, Sunil V Kalmady, Weijie Sun, et al.
PLOS Digital Health|October 24, 2024
Use of a continuous single lead electrocardiogram analytic to predict patient deterioration requiring rapid response team activationSooin Lee, Bryce Benson, Ashwin Belle, et al.
PLOS Digital Health|October 15, 2024
Exploring the relationship between telehealth utilization and treatment burden among patients with chronic conditions: A cross-sectional study in Ontario, CanadaFarah Tahsin, Carolyn Steele Gray, Jay Shaw, et al.
PLOS Digital Health|October 15, 2024
Unsupervised clustering of longitudinal clinical measurements in electronic health recordsArshiya Mariam, Hamed Javidi, Emily C Zabor, et al.
PLOS Digital Health|October 9, 2024
Machine learning approaches in non-contact autofluorescence spectrum classificationAshutosh P Raman, Tanner J Zachem, Sarah Plumlee, et al.
PLOS Digital Health|October 8, 2024
Unmasking biases and navigating pitfalls in the ophthalmic artificial intelligence lifecycle: A narrative reviewLuis Filipe Nakayama, João Matos, Justin Quion, et al.
PLOS Digital Health|September 12, 2024
Artificial intelligence and social accountability in the Canadian health care landscape: A rapid literature reviewAlex Anawati, Holly Fleming, Megan Mertz, et al.
PLOS Digital Health|August 7, 2024
Reporting radiographers' interaction with Artificial Intelligence-How do different forms of AI feedback impact trust and decision switching?Clare Rainey, Raymond Bond, Jonathan McConnell, et al.
PLOS Digital Health|August 5, 2024
Practice of district health information data for decision making and associated factors among performance monitoring team at Hadiya Zone Public Health Facilities SNNPR, EthiopiaMerkineh Mekebo Madebo, Yoseph Olonjo Elitro, Bereket Birege Sundako, et al.
PLOS Digital Health|June 28, 2024
Digital phenotyping correlates of mobile cognitive measures in schizophrenia: A multisite global mental health feasibility trialAsher Cohen, Devayani Joshi, Ameya Bondre, et al.
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