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020 a| 9783319675121 (alk. paper);

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245 00 a| Advances in biomedical informaticsh| [electronic resource] /c| Dawn E. Holmes, Lakhmi C. Jain, editors.;

260 a| Cham :b| Springer,c| [2018];

300 a| xiv, 295 pages :b| illustrations.;

490 1 a| Intelligent systems reference library,x| 1868-4394 ;v| volume 137;

504 a| Includes bibliographical references.;

505 0 a| Advances in Biomedical Informatics: An Introduction -- Digital Health Research Methods and Tools -- Machine Learning for Structured Clinical Data -- Defining and Learning Interactive Causes -- Bayesian Network Modeling for Specific Health Checkups on Metabolic Syndrome -- Unsupervised Detection and Analysis of Changes in Everyday Physical Activity Data -- Machine Learning Applied to Optometry Data -- Intelligent Decision Support Systems in Automated Medical Diagnosis -- On the Automation of Medical Knowledge and Medical Decision Support Systems -- Vital Signs Telemonitoring by using Smart Body Area Networks, Mobile Devices and Advanced Signal Processing -- Preprocessing in High Dimensional Datasets -- Analysis of Questionnaire Survey on Psychic Characteristics in the Elderly Using Quantification Theory II.;

506 a| Available only to authorized users.;

520 a| This book presents authoritative recent research on Biomedical Informatics, bringing together contributions from some of the most respected researchers in this field. Biomedical Informatics represents a growing area of interest and innovation in the management of health-related data, and is essential to the development of focused computational models. Outlining the direction of current research, the book will be of considerable interest to theoreticians and application scientists alike. Further, as all chapters are self-contained, it also provides a valuable sourcebook for graduate students.;

538 a| Mode of access: World Wide Web;

650 12 a| Medical Informatics Applications0| https://id.nlm.nih.gov/mesh/D008491;

655 0 a| Electronic books.;

700 1 a| Holmes, Dawn E.c| (Statistician);

700 1 a| Jain, L. C.;

830 0 a| Intelligent systems reference library ;v| 137.x| 1868-4394;

856 40 z| Full text available from eBooks on EBSCOhostu| https://search.ebscohost.com/login.aspx?direct=true&scope=site&db=nlebk&AN=1621575&scope=site&custid=s5822723&authtype=ip,shib;

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Advances in biomedical informatics / Dawn E. Holmes, Lakhmi C. Jain, editors.

Other author	Holmes, Dawn E. (Statistician)
Other author	Jain, L. C.
Format	Electronic
Publication Info	Cham : Springer, [2018]
Description	xiv, 295 pages : illustrations.
Supplemental Content	Full text available from eBooks on EBSCOhost
Subjects	Medical Informatics Applications

Series	Intelligent systems reference library, 1868-4394 ; volume 137 Intelligent systems reference library ; 137. 1868-4394
Contents	Advances in Biomedical Informatics: An Introduction -- Digital Health Research Methods and Tools -- Machine Learning for Structured Clinical Data -- Defining and Learning Interactive Causes -- Bayesian Network Modeling for Specific Health Checkups on Metabolic Syndrome -- Unsupervised Detection and Analysis of Changes in Everyday Physical Activity Data -- Machine Learning Applied to Optometry Data -- Intelligent Decision Support Systems in Automated Medical Diagnosis -- On the Automation of Medical Knowledge and Medical Decision Support Systems -- Vital Signs Telemonitoring by using Smart Body Area Networks, Mobile Devices and Advanced Signal Processing -- Preprocessing in High Dimensional Datasets -- Analysis of Questionnaire Survey on Psychic Characteristics in the Elderly Using Quantification Theory II.
Abstract	This book presents authoritative recent research on Biomedical Informatics, bringing together contributions from some of the most respected researchers in this field. Biomedical Informatics represents a growing area of interest and innovation in the management of health-related data, and is essential to the development of focused computational models. Outlining the direction of current research, the book will be of considerable interest to theoreticians and application scientists alike. Further, as all chapters are self-contained, it also provides a valuable sourcebook for graduate students.
Bibliography note	Includes bibliographical references.
Access restriction	Available only to authorized users.
Technical details	Mode of access: World Wide Web
Genre/form	Electronic books.
LCCN	2017951988
ISBN	9783319675121 (alk. paper)

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