Advanced Bioscience and Biosystems for Detection and Management of Diabetes (Record no. 200457419)

MARC details
000 -LEADER
fixed length control field 04227nam a22005415i 4500
003 - CONTROL NUMBER IDENTIFIER
control field TR-AnTOB
005 - DATE AND TIME OF LATEST TRANSACTION
control field 20231109112649.0
007 - PHYSICAL DESCRIPTION FIXED FIELD--GENERAL INFORMATION
fixed length control field cr nn 008mamaa
008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION
fixed length control field 220701s2022 sz | s |||| 0|eng d
020 ## - INTERNATIONAL STANDARD BOOK NUMBER
International Standard Book Number 9783030997281
024 7# - OTHER STANDARD IDENTIFIER
Standard number or code 10.1007/978-3-030-99728-1
Source of number or code doi
040 ## - CATALOGING SOURCE
Original cataloging agency TR-AnTOB
Language of cataloging eng
Description conventions rda
Transcribing agency TR-AnTOB
041 ## - LANGUAGE CODE
Language code of text/sound track or separate title İngilizce
060 ## - NATIONAL LIBRARY OF MEDICINE CALL NUMBER
Classification number WK 810
072 #7 - SUBJECT CATEGORY CODE
Subject category code MQW
Source bicssc
Subject category code TEC059000
Source bisacsh
Subject category code MQW
Source thema
096 ## - LOCALLY ASSIGNED NLM-TYPE CALL NUMBER (OCLC)
Classification number WK810EBK
245 10 - TITLE STATEMENT
Title Advanced Bioscience and Biosystems for Detection and Management of Diabetes
Medium [electronic resource] /
Statement of responsibility, etc. edited by Kishor Kumar Sadasivuni, John-John Cabibihan, Abdulaziz Khalid A M Al-Ali, Rayaz A. Malik.
250 ## - EDITION STATEMENT
Edition statement 1st ed. 2022.
264 #1 - PRODUCTION, PUBLICATION, DISTRIBUTION, MANUFACTURE, AND COPYRIGHT NOTICE
Place of production, publication, distribution, manufacture Cham :
Name of producer, publisher, distributor, manufacturer Springer International Publishing :
-- Imprint: Springer,
Date of production, publication, distribution, manufacture, or copyright notice 2022.
300 ## - PHYSICAL DESCRIPTION
Extent 1 online resource
336 ## - CONTENT TYPE
Content type term text
Content type code txt
Source rdacontent
337 ## - MEDIA TYPE
Media type term computer
Media type code c
Source rdamedia
338 ## - CARRIER TYPE
Carrier type term online resource
Carrier type code cr
Source rdacarrier
347 ## - DIGITAL FILE CHARACTERISTICS
File type text file
Encoding format PDF
Source rda
490 1# - SERIES STATEMENT
Series statement Springer Series on Bio- and Neurosystems,
International Standard Serial Number 2520-8543 ;
Volume/sequential designation 13
505 0# - FORMATTED CONTENTS NOTE
Formatted contents note Introduction -- Review of Emerging Approaches Utilizing Alternative Physiological Human Body Fluids in Non- or Minimally Invasive Glucose Monitoring -- Current Status of Non-invasive Diabetics Monitoring -- A New Solution for Non-invasive Glucose Measurement Based on Heart Rate Variability -- Optics Based Techniques for Monitoring Diabetics -- SPR Assisted Diabetics Detection -- Infrared and Raman Spectroscopy Assisted Diagnosis of Diabetics -- Photoacoustic Spectroscopy Mediated Non-Invasive Detection of Diabetics -- Electrical Bioimpedance Based Estimation of Diabetics -- Millimeter and Microwave Sensing Technique for Diagnosis of Diabetics -- Different Machine Learning Algorithm involved in Glucose Monitoring to Prevent Diabetes Complications and Enhanced Diabetes Mellitus Management -- The role of Artificial Intelligence in Diabetes management -- Artificial Intelligence and Machine learning for Diabetes Decision Support -- Commercial Non-Invasive Glucose Sensor Devices for Monitoring Diabetics -- Future Developments in Invasive and Non-Invasive Diabetics Monitoring.
520 ## - SUMMARY, ETC.
Summary, etc. This book covers the medical condition of diabetic patients, their early symptoms and methods conventionally used for diagnosing and monitoring diabetes. It describes various techniques and technologies used for diabetes detection. The content is built upon moving from regressive technology (invasive) and adapting new-age pain-free technologies (non-invasive), machine learning and artificial intelligence for diabetes monitoring and management. This book details all the popular technologies used in the health care and medical fields for diabetic patients. An entire chapter is dedicated to how the future of this field will be shaping up and the challenges remaining to be conquered. Finally, it shows artificial intelligence and predictions, which can be beneficial for the early detection, dose monitoring and surveillance for patients suffering from diabetes.
650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name entry element Biomedical engineering.
Topical term or geographic name entry element Machine learning.
Topical term or geographic name entry element Biomedical Engineering and Bioengineering.
Topical term or geographic name entry element Machine Learning.
653 #0 - INDEX TERM--UNCONTROLLED
Uncontrolled term Diabetes Mellitus -- diagnosis
Uncontrolled term Diabetes Mellitus -- therapy
700 1# - ADDED ENTRY--PERSONAL NAME
Personal name Sadasivuni, Kishor Kumar.
Relator term editor.
Authority record control number or standard number (orcid)0000-0003-2730-6483
Relator code edt
-- http://id.loc.gov/vocabulary/relators/edt
Personal name Cabibihan, John-John.
Relator term editor.
Authority record control number or standard number (orcid)0000-0001-5892-743X
Relator code edt
-- http://id.loc.gov/vocabulary/relators/edt
Personal name A M Al-Ali, Abdulaziz Khalid.
Relator term editor.
Authority record control number or standard number (orcid)0000-0003-0006-2642
Relator code edt
-- http://id.loc.gov/vocabulary/relators/edt
Personal name Malik, Rayaz A.
Relator term editor.
Authority record control number or standard number (orcid)0000-0002-7188-8903
Relator code edt
-- http://id.loc.gov/vocabulary/relators/edt
710 2# - ADDED ENTRY--CORPORATE NAME
Corporate name or jurisdiction name as entry element SpringerLink (Online service)
830 #0 - SERIES ADDED ENTRY--UNIFORM TITLE
Uniform title Springer Series on Bio- and Neurosystems,
International Standard Serial Number 2520-8543 ;
Volume/sequential designation 13
856 40 - ELECTRONIC LOCATION AND ACCESS
Uniform Resource Identifier <a href="https://doi.org/10.1007/978-3-030-99728-1">https://doi.org/10.1007/978-3-030-99728-1</a>
Materials specified Springer eBooks
Public note Online access link to the resource
942 ## - ADDED ENTRY ELEMENTS (KOHA)
Source of classification or shelving scheme National Library of Medicine
Koha item type E-Book
Holdings
Withdrawn status Lost status Source of classification or shelving scheme Not for loan Collection code Home library Current library Date acquired Source of acquisition Inventory number Total Checkouts Full call number Barcode Date last seen Copy number Date shelved Koha item type
    National Library of Medicine Geçerli değil-e-Kitap / Not applicable-e-Book E-Kitap Koleksiyonu Tıp Fakültesi Medikal Kütüphane Tıp Fakültesi Medikal Kütüphane 11/10/2023 Satın Alma / Purchase BMM/TIP   WK 810EBK EBK02608 09/11/2023 1 09/11/2023 E-Book
Devinim Yazılım Eğitim Danışmanlık tarafından Koha'nın orjinal sürümü uyarlanarak geliştirilip kurulmuştur.