I agree that this site is using cookies. You can find further informations
here
.
X
Login
Merkliste (
0
)
Home
About us
Home About us
Our history
Profile
Press & public relations
Friends
The library in figures
Exhibitions
Projects
Training, internships, careers
Films
Services & Information
Home Services & Information
Lending and interlibrary loans
Returns and renewals
Training and library tours
My Account
Library cards
New to the library?
Download Information
Opening hours
Learning spaces
PC, WLAN, copy, scan and print
Catalogs and collections
Home Catalogs and Collections
Rare books and manuscripts
Digital collections
Subject Areas
Our sites
Home Our sites
Central Library
Law Library (Juridicum)
BB Business and Economics (BB11)
BB Physics and Electrical Engineering
TB Engineering and Social Sciences
TB Economics and Nautical Sciences
TB Music
TB Art & Design
TB Bremerhaven
Contact the library
Home Contact the library
Staff Directory
Open access & publishing
Home Open access & publishing
Reference management: Citavi & RefWorks
Publishing documents
Open Access in Bremen
zur Desktop-Version
Toggle navigation
Merkliste
1 Ergebnisse
1
Predicting acute myocardial infarction from haematological ..:
Bhat, Tejas Kadengodlu
;
Chadaga, Krishnaraj
;
Sampathila, Niranjana
...
Systems Science & Control Engineering. 12 (2024) 1 - p. , 2024
Link:
https://doi.org/10.1080/21642583.2024.2331074
RT Journal T1
Predicting acute myocardial infarction from haematological markers utilizing machine learning and explainable artificial intelligence
UL https://suche.suub.uni-bremen.de/peid=cr-10.1080_21642583.2024.2331074&Exemplar=1&LAN=DE A1 Bhat, Tejas Kadengodlu A1 Chadaga, Krishnaraj A1 Sampathila, Niranjana A1 KS, Swathi A1 Chadaga, Rajagopala A1 Umakanth, Shashikiran A1 Prabhu, Srikanth PB Informa UK Limited YR 2024 SN 2164-2583 JF Systems Science & Control Engineering VO 12 IS 1 LK http://dx.doi.org/https://doi.org/10.1080/21642583.2024.2331074 DO https://doi.org/10.1080/21642583.2024.2331074 SF ELIB - SuUB Bremen
Export
RefWorks (nur Desktop-Version!)
Flow
(Zuerst in
Flow
einloggen, dann importieren)