Statistical and Machine Learning for assessment of Traumatic Brain Injury Severity and Patient Outcomes

Statistical and Machine Learning for assessment of Traumatic Brain Injury Severity and Patient Outcomes

Traumatic brain injury (TBI) is a leading cause of death in all age groups, causing society to be concerned. However, TBI diagnostics and patient outcomes prediction are still lacking in medical science. In this thesis, I used a subset of TBIcare data from Turku University Hospital in Finland to cla...

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Bibliographic Details
Main Author: Rahman, Md Abdur
Format: Others
Language:English
Published: Högskolan Dalarna, Institutionen för information och teknik 2021
Subjects:
TBI (Traumatic brain injury)
Metabolites
Glasgow coma scale
Severity
Patient outcomes
CT positive /negative
Random Forest
Boruta
Lasso regression
Ridge regression
Neural network
Deep learning.
Social Sciences Interdisciplinary
Tvärvetenskapliga studier inom samhällsvetenskap
Online Access:http://urn.kb.se/resolve?urn=urn:nbn:se:du-37710

Internet

http://urn.kb.se/resolve?urn=urn:nbn:se:du-37710

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