Artificial Intelligence in Medicine 15th Conference on Artificial Intelligence in Medicine, AIME 2015, Pavia, Italy, June 17-20, 2015. Proceedings / [electronic resource] :
edited by John H. Holmes, Riccardo Bellazzi, Lucia Sacchi, Niels Peek.
- 1st ed. 2015.
- XVI, 345 p. 76 illus. online resource.
- Lecture Notes in Artificial Intelligence, 9105 2945-9141 ; .
- Lecture Notes in Artificial Intelligence, 9105 .
Process mining and phenotyping -- Data mining and machine learning -- Temporal data mining -- Uncertainty and Bayesian networks -- Text mining -- Prediction in clinical practice.- Knowledge representation and guidelines.
This book constitutes the refereed proceedings of the 15th Conference on Artificial Intelligence in Medicine, AIME 2015, held in Pavia, Italy, in June 2015. The 19 revised full and 24 short papers presented were carefully reviewed and selected from 99 submissions. The papers are organized in the following topical sections: process mining and phenotyping; data mining and machine learning; temporal data mining; uncertainty and Bayesian networks; text mining; prediction in clinical practice; and knowledge representation and guidelines.
9783319195513
10.1007/978-3-319-19551-3 doi
Artificial intelligence.
Medical informatics.
Data mining.
Pattern recognition systems.
Application software.
Artificial Intelligence.
Health Informatics.
Data Mining and Knowledge Discovery.
Automated Pattern Recognition.
Computer and Information Systems Applications.
Q334-342 TA347.A78
006.3
Process mining and phenotyping -- Data mining and machine learning -- Temporal data mining -- Uncertainty and Bayesian networks -- Text mining -- Prediction in clinical practice.- Knowledge representation and guidelines.
This book constitutes the refereed proceedings of the 15th Conference on Artificial Intelligence in Medicine, AIME 2015, held in Pavia, Italy, in June 2015. The 19 revised full and 24 short papers presented were carefully reviewed and selected from 99 submissions. The papers are organized in the following topical sections: process mining and phenotyping; data mining and machine learning; temporal data mining; uncertainty and Bayesian networks; text mining; prediction in clinical practice; and knowledge representation and guidelines.
9783319195513
10.1007/978-3-319-19551-3 doi
Artificial intelligence.
Medical informatics.
Data mining.
Pattern recognition systems.
Application software.
Artificial Intelligence.
Health Informatics.
Data Mining and Knowledge Discovery.
Automated Pattern Recognition.
Computer and Information Systems Applications.
Q334-342 TA347.A78
006.3