Artificial Intelligence in Medicine : 15th Conference on Artificial Intelligence in Medicine, AIME 2015, Pavia, Italy, June 17-20, 2015. Proceedings / edited by John H. Holmes, Riccardo Bellazzi, Lucia Sacchi, Niels Peek.

Contributor(s):

Material type: Text

TextLanguage: İngilizce Series: Lecture Notes in Artificial Intelligence ; 9105Publisher: Cham : Springer International Publishing : Imprint: Springer, 2015Description: 1 online resourceContent type:

text

Media type:

computer

Carrier type:

online resource

ISBN:

9783319195513

Subject(s):

LOC classification:

Q334-342

Online resources:

Springer eBooks Online access link to the resource

Contents:

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.

Summary: 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.

Tags from this library: No tags from this library for this title. Log in to add tags.

Average rating: 0.0 (0 votes)

Holdings
Item type	Current library	Home library	Collection	Call number	Status	Notes	Date due	Barcode
E-Book	Merkez Kütüphane	Merkez Kütüphane	E-Kitap Koleksiyonu	Q334-342EBK (Browse shelf(Opens below))	Geçerli değil-e-Kitap / Not applicable-e-Book			EBK00124

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.

There are no comments on this title.

to post a comment.