On-admission prognostic biomarkers and artificial intelligence supported decision-making in medicine

Kiss Szabolcs
On-admission prognostic biomarkers and artificial intelligence supported decision-making in medicine.
Doctoral thesis (PhD), University of Szeged.
(2023)

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Item Type: Thesis (Doctoral thesis (PhD))
Creators: Kiss Szabolcs
Hungarian title: A biomarkerek prognosztikai értéke kórházi felvételkor és a mesterséges intelligencia szerepe az orvostudományban
Supervisor(s):
Supervisor
Position, academic title, institution
MTMT author ID
Szentesi Andrea
tudományos munkatárs, PhD, SZTE Belgyógyászati Klinika
10057649
Alizadeh Hussain
egyetemi docens, Habil PhD, PTE I. sz. Belgyógyászati Klinika
10043311
Subjects: 02. Engineering and technology > 02.13. Security > 02.13.01. Technologies, components > 02.13.01.15. Artificial intelligence & decision support
03. Medical and health sciences > 03.02. Clinical medicine
03. Medical and health sciences > 03.02. Clinical medicine > 03.02.19. Gastroenterology and hepatology
Divisions: Doctoral School of Clinical Medicine
Discipline: Medicine > Clinical Medicine
Language: English
Date: 2023. April 20.
Item ID: 11497
MTMT identifier of the thesis: 34123169
doi: https://doi.org/10.14232/phd.11497
Date Deposited: 2022. Oct. 28. 08:16
Last Modified: 2023. Sep. 01. 15:15
URI: https://doktori.bibl.u-szeged.hu/id/eprint/11497
Defence/Citable status: Defended.

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