Dr. Tobias Zimmermann Department of Clinical Research Profiles & Affiliations OverviewResearch Publications Publications by Type Projects & Collaborations Academic Activities Academic Self-Administration Continuing Education Junior Development, Doctorate and Advanced Studies Academic Reputation & Networking Teaching Bachelor/Master Projects & Collaborations OverviewResearch Publications Publications by Type Projects & Collaborations Academic Activities Academic Self-Administration Continuing Education Junior Development, Doctorate and Advanced Studies Academic Reputation & Networking Teaching Bachelor/Master Profiles & Affiliations Projects & Collaborations 2 foundShow per page10102050 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. INCEPT - The Intensive Care Platform Trial Research Project | 2 Project MembersThe Intensive Care Platform Trial (INCEPT) is an international adaptive platform trial aimed at improving care for adults acutely admitted to the intensive care unit. 1 1 OverviewResearch Publications Publications by Type Projects & Collaborations Academic Activities Academic Self-Administration Continuing Education Junior Development, Doctorate and Advanced Studies Academic Reputation & Networking Teaching Bachelor/Master
Projects & Collaborations 2 foundShow per page10102050 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. INCEPT - The Intensive Care Platform Trial Research Project | 2 Project MembersThe Intensive Care Platform Trial (INCEPT) is an international adaptive platform trial aimed at improving care for adults acutely admitted to the intensive care unit. 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.
INCEPT - The Intensive Care Platform Trial Research Project | 2 Project MembersThe Intensive Care Platform Trial (INCEPT) is an international adaptive platform trial aimed at improving care for adults acutely admitted to the intensive care unit.
