MARC details
000 -LEADER |
fixed length control field |
03834nam a22006375i 4500 |
003 - CONTROL NUMBER IDENTIFIER |
control field |
TR-AnTOB |
005 - DATE AND TIME OF LATEST TRANSACTION |
control field |
20231117095934.0 |
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 |
220520s2022 sz | s |||| 0|eng d |
020 ## - INTERNATIONAL STANDARD BOOK NUMBER |
International Standard Book Number |
9783030952815 |
024 7# - OTHER STANDARD IDENTIFIER |
Standard number or code |
10.1007/978-3-030-95281-5 |
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 |
WC 506.41 |
072 #7 - SUBJECT CATEGORY CODE |
Subject category code |
TBC |
Source |
bicssc |
|
Subject category code |
KJM |
Source |
bicssc |
|
Subject category code |
TEC000000 |
Source |
bisacsh |
|
Subject category code |
TBC |
Source |
thema |
|
Subject category code |
KJM |
Source |
thema |
096 ## - LOCALLY ASSIGNED NLM-TYPE CALL NUMBER (OCLC) |
Classification number |
WC506.41EBK |
245 10 - TITLE STATEMENT |
Title |
Epidemic Analytics for Decision Supports in COVID19 Crisis |
Medium |
[electronic resource] / |
Statement of responsibility, etc. |
edited by Joao Alexandre Lobo Marques, Simon James Fong. |
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 |
505 0# - FORMATTED CONTENTS NOTE |
Formatted contents note |
Chapter 1. Research and Technology Development Achievements During the COVID-19 Pandemic – An Overview -- Chapter 2. Analysis of the COVID-19 Pandemic Behavior based on the Compartmental SEAIRD and Adaptive SVEAIRD Epidemiologic Models -- Chapter 3. The Comparison of Different Linear and Nonlinear Models Using Preliminary Data to Efficiently Analyze the COVID-19 Outbreak -- Chapter 4. Probabilistic Forecasting Model for the COVID-19 Pandemic based on the Composite Monte Carlo Model Integrated with Deep Learning and Fuzzy System -- Chapter 5. The Application of Supervised and Unsupervised Computational Predictive Models to Simulate the COVID-19 Pandemic -- Chapter 6. A Quantum Field formulation for a pandemic propagation. |
520 ## - SUMMARY, ETC. |
Summary, etc. |
Covid-19 has hit the world unprepared, as the deadliest pandemic of the century. Governments and authorities, as leaders and decision makers fighting against the virus, enormously tap on the power of AI and its data analytics models for urgent decision supports at the greatest efforts, ever seen from human history. This book showcases a collection of important data analytics models that were used during the epidemic, and discusses and compares their efficacy and limitations. Readers who from both healthcare industries and academia can gain unique insights on how data analytics models were designed and applied on epidemic data. Taking Covid-19 as a case study, readers especially those who are working in similar fields, would be better prepared in case a new wave of virus epidemic may arise again in the near future. |
650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM |
Topical term or geographic name entry element |
Industrial Management. |
|
Topical term or geographic name entry element |
Epidemiology. |
|
Topical term or geographic name entry element |
Operations research. |
|
Topical term or geographic name entry element |
Data mining. |
|
Topical term or geographic name entry element |
Medicine, Preventive. |
|
Topical term or geographic name entry element |
Health promotion. |
|
Topical term or geographic name entry element |
Industrial Management. |
|
Topical term or geographic name entry element |
Epidemiology. |
|
Topical term or geographic name entry element |
Operations Research and Decision Theory. |
|
Topical term or geographic name entry element |
Data Mining and Knowledge Discovery. |
|
Topical term or geographic name entry element |
Health Promotion and Disease Prevention. |
653 #0 - INDEX TERM--UNCONTROLLED |
Uncontrolled term |
COVID-19 -- epidemiology |
|
Uncontrolled term |
Decision Support Systems, Clinical |
|
Uncontrolled term |
Decision Support Techniques |
|
Uncontrolled term |
Electronic Data Processing |
|
Uncontrolled term |
Epidemiologic Methods |
700 1# - ADDED ENTRY--PERSONAL NAME |
Personal name |
Marques, Joao Alexandre Lobo. |
Relator term |
editor. |
Authority record control number or standard number |
(orcid)0000-0002-6472-8784 |
Relator code |
edt |
-- |
http://id.loc.gov/vocabulary/relators/edt |
|
Personal name |
Fong, Simon James. |
Relator term |
editor. |
Authority record control number or standard number |
(orcid)0000-0002-1848-7246 |
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) |
856 40 - ELECTRONIC LOCATION AND ACCESS |
Uniform Resource Identifier |
<a href="https://doi.org/10.1007/978-3-030-95281-5">https://doi.org/10.1007/978-3-030-95281-5</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 |