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https://hdl.handle.net/20.500.14279/1646| Τίτλος: | Data mining techniques and applications in medicine | Συγγραφείς: | Zupan, Blaž Lavrač, Nada Keravnou-Papailiou, Elpida |
Λέξεις-κλειδιά: | Artificial intelligence;Databases;Information systems;Patient--Care;Medicine | Ημερομηνία Έκδοσης: | 1999 | Πηγή: | Artificial intelligence in medicine, 1999, Volume 16, Issue 1, Pages 1-2 | Περίληψη: | 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: | https://hdl.handle.net/20.500.14279/1646 | 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 | Affiliation: | University of Cyprus |
| Εμφανίζεται στις συλλογές: | Άρθρα/Articles |
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