drmonalidesai on Nostr: Being able to accurately predict future hospitalizations and mortality can help ...
Being able to accurately predict future hospitalizations and mortality can help determine better follow up treatment plans, palliative care referrals, etc.
Machine Learning-Based Prediction of Death and Hospitalization in Patients With Implantable Cardioverter Defibrillator
The RF-SLAM algorithm accurately predicted all-cause mortality and death/HF hospitalization at 3 months and 1 year during the first 5 years of device implant, demonstrating good internal and external validity. Prospective studies and randomized trials are needed to evaluate model performance in other populations and settings and to determine its impact on patient outcomes.
https://www.jacc.org/doi/10.1016/j.jacc.2024.09.006
Machine Learning-Based Prediction of Death and Hospitalization in Patients With Implantable Cardioverter Defibrillator
The RF-SLAM algorithm accurately predicted all-cause mortality and death/HF hospitalization at 3 months and 1 year during the first 5 years of device implant, demonstrating good internal and external validity. Prospective studies and randomized trials are needed to evaluate model performance in other populations and settings and to determine its impact on patient outcomes.
https://www.jacc.org/doi/10.1016/j.jacc.2024.09.006