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YouTube Video Analytics for Patient Health Literacy: Evidence from Colonoscopy Preparation Videos
This study utilizes data analysis methods to retrieve medical information from YouTube videos concerning colonoscopy to manage health conditions.
On Curating Responsible and Representative Healthcare Video Recommendations for Patient Education and Health Literacy: An Augmented Intelligence Approach
Studies suggest that one in three US adults use the Internet to diagnose or learn about a health concern.
Limitations of ROC on Imbalanced Data: Evaluation of LVAD Mortality Risk Scores
Methods: This study compared the ROC and PRC for the outcome of two classifiers for 90-day LVAD mortality for 800 patients (test group) recorded in INTERMACS who received a continuous-flow LVAD between 2006 and 2016 (mean age of 59 years; 146 females vs. 654 males) in which mortality rate is only %8 at 90-day (imbalanced data).
Early Stratification of Patients at Risk for Postoperative Complications after Elective Colectomy
Stratifying patients at risk for postoperative complications may facilitate timely and accurate workups and reduce the burden of adverse events on patients and the health system.
A Deep Learning Architecture for De-identification of Patient Notes: Implementation and Evaluation
De-identification is the process of removing 18 protected health information (PHI) from clinical notes in order for the text to be considered not individually identifiable.
YouTube for Patient Education: A Deep Learning Approach for Understanding Medical Knowledge from User-Generated Videos
YouTube presents an unprecedented opportunity to explore how machine learning methods can improve healthcare information dissemination.
