A machine learning algorithm for electrocardiographic fQRS quantification validated on multi-center data

Amalia Villa(KU Leuven), Carolina Varon(KU Leuven), Heikki V. Huikuri(Oulu University Hospital), Sabine Van Huffel(KU Leuven), Markus Zabel(Universitätsmedizin Göttingen), Sebastian Ingelaere(KU Leuven), Tim Friede(Universitätsmedizin Göttingen), Anton E. Tuinenburg(Heidelberg University), Marek Malík(Riphah International University), Rik Willems(KU Leuven), Bert Vandenberk(KU Leuven), Christian Sticherling(University Hospital of Basel), Tuomas Kenttä(Oulu University Hospital)
Scientific Reports
April 26, 2022
10.1038/s41598-022-10452-0
Cited by 19

Related Papers

Randomized Phase II Trial of Chemoradiotherapy Plus Induction or Consolidation Chemotherapy as Total Neoadjuvant Therapy for Locally Advanced Rectal Cancer: CAO/ARO/AIO-12
|Journal of Clinical Oncology|2019|550
Simple ultrasound rules to distinguish between benign and malignant adnexal masses before surgery: prospective validation by IOTA group
|BMJ|2010|473
Sex-Related Differences in Autonomic Modulation of Heart Rate in Middle-aged Subjects
|Circulation|1996|446
Chemoradiotherapy Plus Induction or Consolidation Chemotherapy as Total Neoadjuvant Therapy for Patients With Locally Advanced Rectal Cancer
|JAMA Oncology|2021|369
Early angiotensin-converting enzyme inhibition in Alport syndrome delays renal failure and improves life expectancy
|Kidney International|2011|361