TY  - GEN
N2  - This book presents recent work on healthcare management and engineering using artificial intelligence and data mining techniques. Specific topics covered in the contributed chapters include predictive mining, decision support, capacity management, patient flow optimization, image compression, data clustering, and feature selection. The content will be valuable for researchers and postgraduate students in computer science, information technology, industrial engineering, and applied mathematics.
DO  - 10.1007/978-3-030-45240-7
DO  - doi
AB  - This book presents recent work on healthcare management and engineering using artificial intelligence and data mining techniques. Specific topics covered in the contributed chapters include predictive mining, decision support, capacity management, patient flow optimization, image compression, data clustering, and feature selection. The content will be valuable for researchers and postgraduate students in computer science, information technology, industrial engineering, and applied mathematics.
T1  - Artificial intelligence and data mining in healthcare /
AU  - Masmoudi, Malek,
AU  - Jarboui, Bassem,
AU  - Siarry, Patrick,
CN  - R859.7.A78
ID  - 1434441
KW  - Artificial intelligence
KW  - Health services administration
KW  - Medical informatics.
KW  - Data mining.
KW  - Medicine
KW  - Intelligence artificielle en médecine.
KW  - Services de santé
KW  - Médecine
KW  - Exploration de données (Informatique)
SN  - 3030452409
SN  - 9783030452407
TI  - Artificial intelligence and data mining in healthcare /
LK  - https://univsouthin.idm.oclc.org/login?url=https://link.springer.com/10.1007/978-3-030-45240-7
UR  - https://univsouthin.idm.oclc.org/login?url=https://link.springer.com/10.1007/978-3-030-45240-7
ER  -