Publications by authors named "Tim Hinrichs"

Article Synopsis
  • Remote patient management can enhance heart failure prognosis, but current methods for monitoring require too many resources for widespread use.
  • A study developed a machine learning model to create a risk score predicting heart failure hospitalizations within seven days, and this model performed better than traditional methods in identifying at-risk patients.
  • By focusing daily review efforts on just the top third of patients with the highest risk scores, the model could detect 95% of imminent hospitalizations, highlighting its potential to streamline monitoring and intervention processes.
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This data set contains electroencephalography (EEG) data as well as simultaneous EEG with functional magnetic resonance imaging (EEG/fMRI) data. During EEG/fMRI, the EEG cap was outfitted with a hardware-based add-on consisting of carbon-wire loops (CWL). These yielded six extra׳CWL׳ signals related to Faraday induction of these loops in the main magnetic field " (Masterton et al.

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