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

Klinisk Forskningsafdeling AHH

Originalsprog	Engelsk
Kvalifikation	PhD
Bevilgende institution	Københavns Universitet
Vejledere/rådgivere	Andersen, Ove, Vejleder
Bevillingsdato	24 jan. 2025
Status	Udgivet - 24 jan. 2025

Citationsformater

@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",

}