Browsed by
Tag: Patient Privacy

Enhancing Intradialytic Hypotension Prediction: A Deep Learning Approach Prioritizing Data Privacy

Enhancing Intradialytic Hypotension Prediction: A Deep Learning Approach Prioritizing Data Privacy

Enhancing Intradialytic Hypotension Prediction: A Deep Learning Approach Prioritizing Data Privacy Intradialytic hypotension (IDH) poses a significant risk to hemodialysis patients. Traditional prediction models often rely on extensive patient data, raising concerns about privacy. This study presents a novel approach leveraging deep learning to predict IDH using minimal, anonymized data from hemodialysis machines, effectively mitigating privacy risks. The research utilized data from two Korean hospital hemodialysis databases, encompassing 63,640 hemodialysis sessions from a total of 334 patients. This data was…

Read More Read More