Please use this identifier to cite or link to this item:
|Title:||Data mining techniques and applications in medicine||Authors:||Zupan, Blaž
|Keywords:||Artificial intelligence;Databases;Information systems;Patient--Care;Medicine||Issue Date:||1999||Publisher:||Elsevier||Source:||Artificial intelligence in medicine, 1999, Volume 16, Issue 1, Pages 1-2||Abstract:||In his excellent article on ‘the adolescence of AI in Medicine’, Edward H. Shortliffe (AIM, 1993, 5:93-106) exposes three factors that may influence the successful integration of AI systems into patient-care settings: enhancement of training, international standards, and information infrastructure. Since 1993, information infrastructure has certainly advanced more than the other two factors. Nowadays, modern hospitals and health care institutions are rapidly advancing their information systems. What was previously an isolated data base or a laboratory information system is now integrated in a larger scale (departmental, hospital, or community-based) medical information system||URI:||http://ktisis.cut.ac.cy/handle/10488/7028||ISSN:||0933-3657||DOI:||http://dx.doi.org/10.1016/S0933-3657(98)00061-X||Rights:||© 1999 Elsevier Science B.V. All rights reserved||Type:||Article|
|Appears in Collections:||Άρθρα/Articles|
Show full item record
checked on Feb 13, 2018
checked on Dec 13, 2018
Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.