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I 69
International Conference on Informatics, Management, and Technology in Healthcare ((16th : ; 2018 : ; Athens, Greece)).
Data, informatics and technology : : an inspiration for improved healthcare / / edited by Arie Hasman, Parisis Gallos, Joseph Liaskos, Mowafa S. Househ and John Mantas. - Amsterdam, Netherlands : : IOS Press,, ©2018. - 1 online resource (xv, 333 pages) : : il. - (Studies in health technology and informatics ; ; volume 251). - Includes bibliographical references and indexes. - URL: https://library.dvfu.ru/lib/document/SK_ELIB/92A7E606-2086-4AE5-8DD2-998DB5EFDDAD. - ISBN 9781614998808 (electronic bk.). - ISBN 1614998809 (electronic bk.)
Online resource; title from electronic title page (ProQuest Ebook Central, viewed June 14, 2019).
Параллельные издания: Print version: International Conference on Informatics, Management, and Technology in Healthcare (16th : 2018 : Athens, Greece). : Data, informatics and technology. - Amsterdam : IOS Press, [2018]. - ISBN 9781614998792
~РУБ DDC 610.28
Рубрики: Medical informatics
Bioinformatics
Decision making--Mathematical models.
Medical Informatics Applications
Data Analysis
Decision Support Techniques
Médecine--Informatique
Bio-informatique
Médecine--Informatique.
Prise de décision--Modèles mathématiques.
HEALTH & FITNESS--Holism.
HEALTH & FITNESS--Reference.
MEDICAL--Alternative Medicine.
MEDICAL--Atlases.
MEDICAL--Essays.
MEDICAL--Family & General Practice.
MEDICAL--Holistic Medicine.
MEDICAL--Osteopathy.
Bioinformatics.
Medical informatics.
Аннотация: Biomedical informatics is important for the entire domain of healthcare, from clinical informatics and health informatics to the wider field of public health informatics. This book presents the 80 full papers selected from the 130 submitted for review and subsequently presented at the 16th International Conference on Informatics, Management, and Technology in Healthcare (ICIMTH 2018), held in Athens, Greece, in July 2018. This important conference draws participants from the field of biomedical and health informatics from all continents to exchange a wide range of research and application outcomes in informatics from cell to population, and topics covered here include technologies such as imaging, sensors and other biomedical equipment, and management and organizational aspects such as legal and social issues and the setting of research priorities in health informatics. Data, informatics and technology continue to inspire both health professionals and informaticians to improve healthcare for the benefit of patients, and this book will be of interest to all those engaged in this endeavor.
Доп.точки доступа:
Hasman, Arie, \editor.\
Liaskos, Joseph, \editor.\
Househ, Mowafa, (1977-) \editor.\
Mantas, J., (John), \editor.\
IOS Press.
I 69
International Conference on Informatics, Management, and Technology in Healthcare ((16th : ; 2018 : ; Athens, Greece)).
Data, informatics and technology : : an inspiration for improved healthcare / / edited by Arie Hasman, Parisis Gallos, Joseph Liaskos, Mowafa S. Househ and John Mantas. - Amsterdam, Netherlands : : IOS Press,, ©2018. - 1 online resource (xv, 333 pages) : : il. - (Studies in health technology and informatics ; ; volume 251). - Includes bibliographical references and indexes. - URL: https://library.dvfu.ru/lib/document/SK_ELIB/92A7E606-2086-4AE5-8DD2-998DB5EFDDAD. - ISBN 9781614998808 (electronic bk.). - ISBN 1614998809 (electronic bk.)
Online resource; title from electronic title page (ProQuest Ebook Central, viewed June 14, 2019).
Параллельные издания: Print version: International Conference on Informatics, Management, and Technology in Healthcare (16th : 2018 : Athens, Greece). : Data, informatics and technology. - Amsterdam : IOS Press, [2018]. - ISBN 9781614998792
Рубрики: Medical informatics
Bioinformatics
Decision making--Mathematical models.
Medical Informatics Applications
Data Analysis
Decision Support Techniques
Médecine--Informatique
Bio-informatique
Médecine--Informatique.
Prise de décision--Modèles mathématiques.
HEALTH & FITNESS--Holism.
HEALTH & FITNESS--Reference.
MEDICAL--Alternative Medicine.
MEDICAL--Atlases.
MEDICAL--Essays.
MEDICAL--Family & General Practice.
MEDICAL--Holistic Medicine.
MEDICAL--Osteopathy.
Bioinformatics.
Medical informatics.
Аннотация: Biomedical informatics is important for the entire domain of healthcare, from clinical informatics and health informatics to the wider field of public health informatics. This book presents the 80 full papers selected from the 130 submitted for review and subsequently presented at the 16th International Conference on Informatics, Management, and Technology in Healthcare (ICIMTH 2018), held in Athens, Greece, in July 2018. This important conference draws participants from the field of biomedical and health informatics from all continents to exchange a wide range of research and application outcomes in informatics from cell to population, and topics covered here include technologies such as imaging, sensors and other biomedical equipment, and management and organizational aspects such as legal and social issues and the setting of research priorities in health informatics. Data, informatics and technology continue to inspire both health professionals and informaticians to improve healthcare for the benefit of patients, and this book will be of interest to all those engaged in this endeavor.
Доп.точки доступа:
Hasman, Arie, \editor.\
Liaskos, Joseph, \editor.\
Househ, Mowafa, (1977-) \editor.\
Mantas, J., (John), \editor.\
IOS Press.
2.
Подробнее
G 42
Ghavami, Peter,.
Big Data Analytics Methods : : Analytics Techniques in Data Mining, Deep Learning and Natural Language Processing / / Peter Ghavami. - 2nd Edition. - 1515/9781547401567. - Berlin ; ; Boston : : De Gruyter,, ©2020. - 1 online resource (XVI, 238 pages) : гербы ( час. мин.), 1515/9781547401567. - In English. - URL: https://library.dvfu.ru/lib/document/SK_ELIB/00EA0348-14BD-4E27-9B5B-C44E78DA8323. - ISBN 9781547401567. - ISBN 1547401567. - ISBN 9781547401581. - ISBN 1547401583. - ISBN 9781547417957. - ISBN 1547417951
Description based on online resource; title from PDF title page (publisher's Web site, viewed 21. Dez 2019).
Параллельные издания:
1.
2.
~РУБ DDC 005.7
Рубрики: Big data.
Data analysis.
Data mining.
Machine learning.
Neural networks.
BUSINESS & ECONOMICS / Information Management.
Big data.
Data mining.
Natural language processing (Computer science)
Big data.
Data mining.
Natural language processing (Computer science)
Аннотация: Big Data Analytics Methods unveils secrets to advanced analytics techniques ranging from machine learning, random forest classifiers, predictive modeling, cluster analysis, natural language processing (NLP), Kalman filtering and ensembles of models for optimal accuracy of analysis and prediction. More than 100 analytics techniques and methods provide big data professionals, business intelligence professionals and citizen data scientists insight on how to overcome challenges and avoid common pitfalls and traps in data analytics. The book offers solutions and tips on handling missing data, noisy and dirty data, error reduction and boosting signal to reduce noise. It discusses data visualization, prediction, optimization, artificial intelligence, regression analysis, the Cox hazard model and many analytics using case examples with applications in the healthcare, transportation, retail, telecommunication, consulting, manufacturing, energy and financial services industries. This book's state of the art treatment of advanced data analytics methods and important best practices will help readers succeed in data analytics.
G 42
Ghavami, Peter,.
Big Data Analytics Methods : : Analytics Techniques in Data Mining, Deep Learning and Natural Language Processing / / Peter Ghavami. - 2nd Edition. - 1515/9781547401567. - Berlin ; ; Boston : : De Gruyter,, ©2020. - 1 online resource (XVI, 238 pages) : гербы ( час. мин.), 1515/9781547401567. - In English. - URL: https://library.dvfu.ru/lib/document/SK_ELIB/00EA0348-14BD-4E27-9B5B-C44E78DA8323. - ISBN 9781547401567. - ISBN 1547401567. - ISBN 9781547401581. - ISBN 1547401583. - ISBN 9781547417957. - ISBN 1547417951
Description based on online resource; title from PDF title page (publisher's Web site, viewed 21. Dez 2019).
Параллельные издания:
1.
2.
Рубрики: Big data.
Data analysis.
Data mining.
Machine learning.
Neural networks.
BUSINESS & ECONOMICS / Information Management.
Big data.
Data mining.
Natural language processing (Computer science)
Big data.
Data mining.
Natural language processing (Computer science)
Аннотация: Big Data Analytics Methods unveils secrets to advanced analytics techniques ranging from machine learning, random forest classifiers, predictive modeling, cluster analysis, natural language processing (NLP), Kalman filtering and ensembles of models for optimal accuracy of analysis and prediction. More than 100 analytics techniques and methods provide big data professionals, business intelligence professionals and citizen data scientists insight on how to overcome challenges and avoid common pitfalls and traps in data analytics. The book offers solutions and tips on handling missing data, noisy and dirty data, error reduction and boosting signal to reduce noise. It discusses data visualization, prediction, optimization, artificial intelligence, regression analysis, the Cox hazard model and many analytics using case examples with applications in the healthcare, transportation, retail, telecommunication, consulting, manufacturing, energy and financial services industries. This book's state of the art treatment of advanced data analytics methods and important best practices will help readers succeed in data analytics.
Страница 1, Результатов: 2