國立高雄大學圖資館 |

語系: 繁體中文

說明(常見問題)

圖資館首頁

登入

回首頁

切換: 標籤 | MARC模式 | ISBD

Machine learning and AI for healthca...

Panesar, Arjun.

Machine learning and AI for healthcarebig data for improved health outcomes /

紀錄類型:	書目-電子資源 : Monograph/item
正題名/作者:	Machine learning and AI for healthcareby Arjun Panesar.
其他題名:	big data for improved health outcomes /
作者:	Panesar, Arjun.
出版者:	Berkeley, CA :Apress :2019.
面頁冊數:	xxvi, 368 p. :ill., digital ;24 cm.
Contained By:	Springer eBooks
標題:	Artificial intelligenceMedical applications.
電子資源:	https://doi.org/10.1007/978-1-4842-3799-1
ISBN:	9781484237991$q(electronic bk.)

Machine learning and AI for healthcarebig data for improved health outcomes /
Panesar, Arjun.

Machine learning and AI for healthcarebig data for improved health outcomes /[electronic resource] :by Arjun Panesar. - Berkeley, CA :Apress :2019. - xxvi, 368 p. :ill., digital ;24 cm.

Chapter 1: What is Artificial Intelligence -- Chapter 2: Data -- Chapter 3: What is Machine learning? -- Chapter 4: Machine learning in healthcare -- Chapter 5: Evaluating learning for intelligence -- Chapter 6: Ethics of intelligence -- Chapter 7: The future of healthcare -- Chapter 8: Case studies.

Explore the theory and practical applications of artificial intelligence (AI) and machine learning in healthcare. This book offers a guided tour of machine learning algorithms, architecture design, and applications of learning in healthcare and big data challenges. You'll discover the ethical implications of healthcare data analytics and the future of AI in population and patient health optimization. You'll also create a machine learning model, evaluate performance and operationalize its outcomes within your organization. Machine Learning and AI for Healthcare provides techniques on how to apply machine learning within your organization and evaluate the efficacy, suitability, and efficiency of AI applications. These are illustrated through leading case studies, including how chronic disease is being redefined through patient-led data learning and the Internet of Things.

ISBN: 9781484237991$q(electronic bk.)

Standard No.: 10.1007/978-1-4842-3799-1doiSubjects--Topical Terms:

237917
Artificial intelligence
--Medical applications.

LC Class. No.: R859.7.A78

Dewey Class. No.: 610.28563

Machine learning and AI for healthcarebig data for improved health outcomes /
LDR:02192nmm a2200325 a 4500 001 553014
003 DE-He213
005 20190813155928.0
006 m d
007 cr nn 008maaau
008 191107s2019 cau s 0 eng d
020 $a 9781484237991$q(electronic bk.)
020 $a 9781484237984$q(paper)
024 7 $a 10.1007/978-1-4842-3799-1 $2 doi
035 $a 978-1-4842-3799-1
040 $a GP $c GP
041 0 $a eng
050 4 $a R859.7.A78
072 7 $a UYQ $2 bicssc
072 7 $a COM004000 $2 bisacsh
072 7 $a UYQ $2 thema
082 0 4 $a 610.28563 $2 23
090 $a R859.7.A78 $b P191 2019
100 1 $a Panesar, Arjun. $3 834030
245 1 0 $a Machine learning and AI for healthcare $h [electronic resource] : $b big data for improved health outcomes / $c by Arjun Panesar.
260 $a Berkeley, CA : $b Apress : $b Imprint: Apress, $c 2019.
300 $a xxvi, 368 p. : $b ill., digital ; $c 24 cm.
505 0 $a Chapter 1: What is Artificial Intelligence -- Chapter 2: Data -- Chapter 3: What is Machine learning? -- Chapter 4: Machine learning in healthcare -- Chapter 5: Evaluating learning for intelligence -- Chapter 6: Ethics of intelligence -- Chapter 7: The future of healthcare -- Chapter 8: Case studies.
520 $a Explore the theory and practical applications of artificial intelligence (AI) and machine learning in healthcare. This book offers a guided tour of machine learning algorithms, architecture design, and applications of learning in healthcare and big data challenges. You'll discover the ethical implications of healthcare data analytics and the future of AI in population and patient health optimization. You'll also create a machine learning model, evaluate performance and operationalize its outcomes within your organization. Machine Learning and AI for Healthcare provides techniques on how to apply machine learning within your organization and evaluate the efficacy, suitability, and efficiency of AI applications. These are illustrated through leading case studies, including how chronic disease is being redefined through patient-led data learning and the Internet of Things.
650 0 $a Artificial intelligence $x Medical applications. $3 237917
650 0 $a Machine learning. $3 188639
650 1 4 $a Artificial Intelligence. $3 212515
650 2 4 $a Big Data. $3 760530
650 2 4 $a Open Source. $3 758930
710 2 $a SpringerLink (Online service) $3 273601
773 0 $t Springer eBooks
856 4 0 $u https://doi.org/10.1007/978-1-4842-3799-1
950 $a Professional and Applied Computing (Springer-12059)