Rezultati

eNauka >  Results >  Feasibility of Applying Data Mining Techniques for Predicting Technical Difficulties During Laparoscopic Cholecystectomy Based on Routine Patient Work-Up in a Small Community Hospital
Title: Feasibility of Applying Data Mining Techniques for Predicting Technical Difficulties During Laparoscopic Cholecystectomy Based on Routine Patient Work-Up in a Small Community Hospital
Authors: Nikolić, Boško D.  
Issue Date: 2013
Publication: HEPATO-GASTROENTEROLOGY
ISSN: 0172-6390 Hepato-gastroenterology Search Idenfier
Type: Article
Collation: vol. 60 br. 127 str. 5-12
DOI : 10.5754/hge13213
WoS-ID: 000346326500001
Scopus-ID: 2-s2.0-84893909749
URI: http://zaposleni.etf.bg.ac.rs/rest/sciNaucniRezultati/oai/record/2/704714
https://enauka.gov.rs/handle/123456789/526841
URL: http://www.hepatogastroenterology.org/index.php/articles-ahead-of-print/item/5883-feasibility-of-applying-data-mining-techniques-for-predicting-technical-difficulties-during-laparoscopic-cholecystectomy-based-on-routine-patient-work-up-in-a-small-community-hospital
Metadata source: Migracija
M-category: 
23M23

4
SCOPUSTM
1
WEB OF SCIENCETM
Alt metrika
Dimensions
Unpaywall

Rezultati na eNauka su zaštićeni autorskim pravima i sva prava su zadržana, osim ako nije drugačije naznačeno.