2023
DOI: 10.34067/kid.0000000000000208
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Deep Learning on Electrocardiograms for Prediction of In-hospital Intradialytic Hypotension in Patients with ESKD

Abstract: Points c Intradialytic hypotension is common in patients who are on hemodialysis. c We applied deep learning techniques to ECGs to predict patients at risk of IDH. The performance of the model was good with an AUC of 0.763 and AUPRC of 0.35.

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“…98 Further, a very recent paper described utilization of digitized EKG recording obtained within 48 h prior to dialysis session, to predict IDH. 99 Incorporating AI learning methods into dialysis supervision platforms could offer an advantage for the ongoing tasks of adjustment to and reaccommodation of local patterns and biases that impact care delivery. Thus, by leveraging machine-based learning methods, we can gain new insights into these clinical problems, leading to better prediction and prevention of complications during HD.…”
Section: Researchmentioning
confidence: 99%
“…98 Further, a very recent paper described utilization of digitized EKG recording obtained within 48 h prior to dialysis session, to predict IDH. 99 Incorporating AI learning methods into dialysis supervision platforms could offer an advantage for the ongoing tasks of adjustment to and reaccommodation of local patterns and biases that impact care delivery. Thus, by leveraging machine-based learning methods, we can gain new insights into these clinical problems, leading to better prediction and prevention of complications during HD.…”
Section: Researchmentioning
confidence: 99%