Model-Based Quantification of Left Ventricular Diastolic Function in Critically Ill Patients with Atrial Fibrillation from Routine Data: A Feasibility Study.
Nicholas KieferMaximilian J OremekAndreas HoeftSven ZenkerPublished in: Computational and mathematical methods in medicine (2019)
The proposed approach successfully inferred β within the physiological range. This is the first report of an approach quantifying LVDF from routine monitoring data in critically ill AF patients. Provided future successful external validation, this approach may offer a tool for minimally invasive online monitoring of this crucial parameter.
Keyphrases
- left ventricular
- minimally invasive
- ejection fraction
- end stage renal disease
- electronic health record
- newly diagnosed
- chronic kidney disease
- clinical practice
- big data
- heart failure
- atrial fibrillation
- social media
- acute myocardial infarction
- hypertrophic cardiomyopathy
- healthcare
- patient reported outcomes
- acute coronary syndrome
- cardiac resynchronization therapy
- coronary artery disease
- robot assisted
- percutaneous coronary intervention
- artificial intelligence