PD Dr. sc. ETH Sven Knecht Department of Clinical Research Profiles & Affiliations OverviewResearch Publications Projects & Collaborations Projects & Collaborations OverviewResearch Publications Projects & Collaborations Profiles & Affiliations Projects & Collaborations 2 foundShow per page10 10 20 50 MAchine Learning to Boost the Early diagnosis of acute Cardiovascular conditions (MALBEC) Research Project | 6 Project MembersThe research project aims to develop clinical decision support tools integrating established diagnostic variables and machine learning (ML) models for rapid diagnosis of acute life-threatening cardiovascular conditions in emergency department (ED) patients with chest pain or dyspnea with the ultimate goal of Improved diagnostic accuracy, faster patient management, and reduced medical errors. A Deep ECG Analysis for outcome prediction of catheter ablation for atrial fibrillation Research Project | 1 Project MembersDNN based feature extraction and outcome modelling in cooperation with the group for “Digital Biomarkers und Signal processing” by Prof. R Wildhaber at the FHNW in Muttenz. 1 1 OverviewResearch Publications Projects & Collaborations
Projects & Collaborations 2 foundShow per page10 10 20 50 MAchine Learning to Boost the Early diagnosis of acute Cardiovascular conditions (MALBEC) Research Project | 6 Project MembersThe research project aims to develop clinical decision support tools integrating established diagnostic variables and machine learning (ML) models for rapid diagnosis of acute life-threatening cardiovascular conditions in emergency department (ED) patients with chest pain or dyspnea with the ultimate goal of Improved diagnostic accuracy, faster patient management, and reduced medical errors. A Deep ECG Analysis for outcome prediction of catheter ablation for atrial fibrillation Research Project | 1 Project MembersDNN based feature extraction and outcome modelling in cooperation with the group for “Digital Biomarkers und Signal processing” by Prof. R Wildhaber at the FHNW in Muttenz. 1 1
MAchine Learning to Boost the Early diagnosis of acute Cardiovascular conditions (MALBEC) Research Project | 6 Project MembersThe research project aims to develop clinical decision support tools integrating established diagnostic variables and machine learning (ML) models for rapid diagnosis of acute life-threatening cardiovascular conditions in emergency department (ED) patients with chest pain or dyspnea with the ultimate goal of Improved diagnostic accuracy, faster patient management, and reduced medical errors.
A Deep ECG Analysis for outcome prediction of catheter ablation for atrial fibrillation Research Project | 1 Project MembersDNN based feature extraction and outcome modelling in cooperation with the group for “Digital Biomarkers und Signal processing” by Prof. R Wildhaber at the FHNW in Muttenz.
