The Use of Machine Learning to Assess Acute Biological Age Based on Mortality Risk Prediction in the Emergency Department - Unveiling the Impact of Accelerated Biological Aging During Acute Disease

Baker Nawfal Jawad

The Use of Machine Learning to Assess Acute Biological Age Based on Mortality Risk Prediction in the Emergency Department - Unveiling the Impact of Accelerated Biological Aging During Acute Disease

Department of Clinical Research

Original language	English
Qualification	Ph.d.
Awarding Institution	University of Copenhagen
Supervisors/Advisors	Andersen, Ove, Supervisor
Award date	24 Jan 2025
Publication status	Published - 24 Jan 2025

Cite this

@misc{640470b01bef4eb7903a6d90fe109e24,

title = "The Use of Machine Learning to Assess Acute Biological Age Based on Mortality Risk Prediction in the Emergency Department - Unveiling the Impact of Accelerated Biological Aging During Acute Disease",

author = "\{Nawfal Jawad\}, Baker",

year = "2025",

month = jan,

day = "24",

language = "English",

school = "University of Copenhagen",

}