東華大學圖書館 |

Language: English

Help

回圖書館首頁

手機版館藏查詢

Back

Switch To: Labeled | MARC Mode | ISBD

Interactive process mining in healthcare

Fernandez-Llatas, Carlos.

Linked to FindBook

Google Book

Amazon

博客來

Interactive process mining in healthcare

Record Type:	Electronic resources : Monograph/item
Title/Author:	Interactive process mining in healthcare/ edited by Carlos Fernandez-Llatas.
other author:	Fernandez-Llatas, Carlos.
Published:	Cham :Springer International Publishing : : 2021.,
Description:	xiv, 306 p. :ill., digital ;24 cm.
[NT 15003449]:	Introduction -- Toward an integration of Data Science and Medical Domain -- To an interactive machine learning approach -- Process Mining for Healthcare -- Interactive process Mining paradigm -- Interactive Process Mining in Practice: Interactive Key Process Indicators -- Data Quality in Process Mining, Legal Issues and Open Data Integration -- Real Success Cases -- New Challenges.
Contained By:	Springer Nature eBook
Subject:	Medical informatics. -
Online resource:	https://doi.org/10.1007/978-3-030-53993-1
ISBN:	9783030539931

Interactive process mining in healthcare
Interactive process mining in healthcare[electronic resource] /edited by Carlos Fernandez-Llatas. - Cham :Springer International Publishing :2021. - xiv, 306 p. :ill., digital ;24 cm. - Health informatics,1431-1917. - Health informatics..

Introduction -- Toward an integration of Data Science and Medical Domain -- To an interactive machine learning approach -- Process Mining for Healthcare -- Interactive process Mining paradigm -- Interactive Process Mining in Practice: Interactive Key Process Indicators -- Data Quality in Process Mining, Legal Issues and Open Data Integration -- Real Success Cases -- New Challenges.

This book provides a practically applicable guide to the methodologies and technologies for the application of interactive process mining paradigm. Case studies are presented where this paradigm has been successfully applied in emergency medicine, surgery processes, human behavior modelling, strokes and outpatients' services, enabling the reader to develop a deep understanding of how to apply process mining technologies in healthcare to support them in inferring new knowledge from past actions, and providing accurate and personalized knowledge to improve their future clinical decision-making. Interactive Process Mining in Healthcare comprehensively covers how machine learning algorithms can be utilized to create real scientific evidence to improve daily healthcare protocols, and is a valuable resource for a variety of health professionals seeking to develop new methods to improve their clinical decision-making.

ISBN: 9783030539931

Standard No.: 10.1007/978-3-030-53993-1doiSubjects--Topical Terms:

661258
Medical informatics.

LC Class. No.: R859.7.D35 / I58 2021

Dewey Class. No.: 610.285

National Library of Medicine Call No.: W 26.55.I4

Interactive process mining in healthcare
LDR:02353nmm a2200349 a 4500 001 2236093
003 DE-He213
005 20201028172925.0
006 m d
007 cr nn 008maaau
008 211111s2021 sz s 0 eng d
020 $a 9783030539931 $q (electronic bk.)
020 $a 9783030539924 $q (paper)
024 7 $a 10.1007/978-3-030-53993-1 $2 doi
035 $a 978-3-030-53993-1
040 $a GP $c GP
041 0 $a eng
050 4 $a R859.7.D35 $b I58 2021
060 4 $a W 26.55.I4
072 7 $a UBH $2 bicssc
072 7 $a MED000000 $2 bisacsh
072 7 $a UBH $2 thema
082 0 4 $a 610.285 $2 23
090 $a R859.7.D35 $b I61 2021
245 0 0 $a Interactive process mining in healthcare $h [electronic resource] / $c edited by Carlos Fernandez-Llatas.
260 $a Cham : $b Springer International Publishing : $b Imprint: Springer, $c 2021.
300 $a xiv, 306 p. : $b ill., digital ; $c 24 cm.
490 1 $a Health informatics, $x 1431-1917
505 0 $a Introduction -- Toward an integration of Data Science and Medical Domain -- To an interactive machine learning approach -- Process Mining for Healthcare -- Interactive process Mining paradigm -- Interactive Process Mining in Practice: Interactive Key Process Indicators -- Data Quality in Process Mining, Legal Issues and Open Data Integration -- Real Success Cases -- New Challenges.
520 $a This book provides a practically applicable guide to the methodologies and technologies for the application of interactive process mining paradigm. Case studies are presented where this paradigm has been successfully applied in emergency medicine, surgery processes, human behavior modelling, strokes and outpatients' services, enabling the reader to develop a deep understanding of how to apply process mining technologies in healthcare to support them in inferring new knowledge from past actions, and providing accurate and personalized knowledge to improve their future clinical decision-making. Interactive Process Mining in Healthcare comprehensively covers how machine learning algorithms can be utilized to create real scientific evidence to improve daily healthcare protocols, and is a valuable resource for a variety of health professionals seeking to develop new methods to improve their clinical decision-making.
650 0 $a Medical informatics. $3 661258
650 0 $a Information storage and retrieval systems $x Medical care. $3 700135
650 0 $a Health services administration $x Data processing. $3 846330
650 0 $a Medical care $x Quality control $x Data processing. $3 3487165
650 1 4 $a Health Informatics. $3 892928
650 2 4 $a Data Mining and Knowledge Discovery. $3 898250
650 2 4 $a Bioinformatics. $3 553671
700 1 $a Fernandez-Llatas, Carlos. $3 3487164
710 2 $a SpringerLink (Online service) $3 836513
773 0 $t Springer Nature eBook
830 0 $a Health informatics. $3 815877
856 4 0 $u https://doi.org/10.1007/978-3-030-53993-1
950 $a Medicine (SpringerNature-11650)