Machine Learning in Medicine - A Complete Overview

dc.contributor.author	Cleophas, Ton J.	en_US
dc.contributor.author	Zwinderman, Aeilko H.	en_US
dc.date.accessioned	2020-08-05T07:12:35Z
dc.date.available	2020-08-05T07:12:35Z
dc.date.issued	2015	en_US
dc.identifier.isbn	978-3-319-15194-6	en_US
dc.identifier.isbn	978-3-319-15195-3	en_US
dc.identifier.other	HPU2164635	en_US
dc.identifier.uri	https://lib.hpu.edu.vn/handle/123456789/33683
dc.description.abstract	The current book is the first publication of a complete overview of machine learning methodologies for the medical and health sector. It was written as a training companion, and as a must-read, not only for physicians and students, but also for any one involved in the process and progress of health and health care. In eighty chapters eighty different machine learning methodologies are reviewed, in combination with data examples for self-assessment. Each chapter can be studied without the need to consult other chapters.	en_US
dc.format.extent	498p.	en_US
dc.format.mimetype	application/pdf
dc.language.iso	en	en_US
dc.publisher	Springer	en_US
dc.subject	Computer science	en_US
dc.subject	Data mining	en_US
dc.subject	Machine learning	en_US
dc.title	Machine Learning in Medicine - A Complete Overview	en_US
dc.type	Book	en_US
dc.size	8,07 MB	en_US
dc.department	Technology	en_US