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

Advanced prognostic predictive model...

Roy, Sudipta.

Linked to FindBook

Google Book

Amazon

博客來

Advanced prognostic predictive modelling in healthcare data analytics

Record Type:	Electronic resources : Monograph/item
Title/Author:	Advanced prognostic predictive modelling in healthcare data analytics/ edited by Sudipta Roy, Lalit Mohan Goyal, Mamta Mittal.
other author:	Roy, Sudipta.
Published:	Singapore :Springer Singapore : : 2021.,
Description:	xiv, 311 p. :ill. (some col.), digital ;24 cm.
[NT 15003449]:	Data visualization in the transformation of healthcare industries -- Emerging Healthcare Problems in High Dimensional Data and Dimension Reduction -- Disease Prediction Using Data Mining and Machine Learning Techniques -- Prognostic modeling with the internet of Healthcare things applications -- Cancer Tissue Segmentation in Various Conditions with Semiautomatic and Automatic Approach -- Early Screening of COVID-19 from Chest CT using Deep Learning Technique -- Clinical Decision-Making and Predicting Patient Trajectories.
Contained By:	Springer Nature eBook
Subject:	Artificial intelligence - Medical applications. -
Online resource:	https://doi.org/10.1007/978-981-16-0538-3
ISBN:	9789811605383

Advanced prognostic predictive modelling in healthcare data analytics
Advanced prognostic predictive modelling in healthcare data analytics[electronic resource] /edited by Sudipta Roy, Lalit Mohan Goyal, Mamta Mittal. - Singapore :Springer Singapore :2021. - xiv, 311 p. :ill. (some col.), digital ;24 cm. - Lecture notes on data engineering and communications technologies,v.642367-4512 ;. - Lecture notes on data engineering and communications technologies ;v.64..

Data visualization in the transformation of healthcare industries -- Emerging Healthcare Problems in High Dimensional Data and Dimension Reduction -- Disease Prediction Using Data Mining and Machine Learning Techniques -- Prognostic modeling with the internet of Healthcare things applications -- Cancer Tissue Segmentation in Various Conditions with Semiautomatic and Automatic Approach -- Early Screening of COVID-19 from Chest CT using Deep Learning Technique -- Clinical Decision-Making and Predicting Patient Trajectories.

This book discusses major technical advancements and research findings in the field of prognostic modelling in healthcare image and data analysis. The use of prognostic modelling as predictive models to solve complex problems of data mining and analysis in health care is the feature of this book. The book examines the recent technologies and studies that reached the practical level and becoming available in preclinical and clinical practices in computational intelligence. The main areas of interest covered in this book are highest quality, original work that contributes to the basic science of processing, analysing and utilizing all aspects of advanced computational prognostic modelling in healthcare image and data analysis.

ISBN: 9789811605383

Standard No.: 10.1007/978-981-16-0538-3doiSubjects--Topical Terms:

900591
Artificial intelligence
--Medical applications.

LC Class. No.: R859.7.A78 / A383 2021

Dewey Class. No.: 610.28563

Advanced prognostic predictive modelling in healthcare data analytics
LDR:02434nmm a2200337 a 4500 001 2240011
003 DE-He213
005 20210729150440.0
006 m d
007 cr nn 008maaau
008 211111s2021 si s 0 eng d
020 $a 9789811605383 $q (electronic bk.)
020 $a 9789811605376 $q (paper)
024 7 $a 10.1007/978-981-16-0538-3 $2 doi
035 $a 978-981-16-0538-3
040 $a GP $c GP
041 0 $a eng
050 4 $a R859.7.A78 $b A383 2021
072 7 $a UYQ $2 bicssc
072 7 $a TEC009000 $2 bisacsh
072 7 $a UYQ $2 thema
082 0 4 $a 610.28563 $2 23
090 $a R859.7.A78 $b A244 2021
245 0 0 $a Advanced prognostic predictive modelling in healthcare data analytics $h [electronic resource] / $c edited by Sudipta Roy, Lalit Mohan Goyal, Mamta Mittal.
260 $a Singapore : $b Springer Singapore : $b Imprint: Springer, $c 2021.
300 $a xiv, 311 p. : $b ill. (some col.), digital ; $c 24 cm.
490 1 $a Lecture notes on data engineering and communications technologies, $x 2367-4512 ; $v v.64
505 0 $a Data visualization in the transformation of healthcare industries -- Emerging Healthcare Problems in High Dimensional Data and Dimension Reduction -- Disease Prediction Using Data Mining and Machine Learning Techniques -- Prognostic modeling with the internet of Healthcare things applications -- Cancer Tissue Segmentation in Various Conditions with Semiautomatic and Automatic Approach -- Early Screening of COVID-19 from Chest CT using Deep Learning Technique -- Clinical Decision-Making and Predicting Patient Trajectories.
520 $a This book discusses major technical advancements and research findings in the field of prognostic modelling in healthcare image and data analysis. The use of prognostic modelling as predictive models to solve complex problems of data mining and analysis in health care is the feature of this book. The book examines the recent technologies and studies that reached the practical level and becoming available in preclinical and clinical practices in computational intelligence. The main areas of interest covered in this book are highest quality, original work that contributes to the basic science of processing, analysing and utilizing all aspects of advanced computational prognostic modelling in healthcare image and data analysis.
650 0 $a Artificial intelligence $x Medical applications. $3 900591
650 0 $a Medical informatics. $3 661258
650 0 $a Information visualization. $3 615673
650 0 $a Data mining. $3 562972
650 1 4 $a Computational Intelligence. $3 1001631
650 2 4 $a Artificial Intelligence. $3 769149
650 2 4 $a Statistics, general. $3 896933
650 2 4 $a Health Informatics. $3 892928
650 2 4 $a Simulation and Modeling. $3 890873
700 1 $a Roy, Sudipta. $3 3494586
700 1 $a Goyal, Lalit Mohan. $3 3494587
700 1 $a Mittal, Mamta. $3 3378265
710 2 $a SpringerLink (Online service) $3 836513
773 0 $t Springer Nature eBook
830 0 $a Lecture notes on data engineering and communications technologies ; $v v.64. $3 3494588
856 4 0 $u https://doi.org/10.1007/978-981-16-0538-3
950 $a Intelligent Technologies and Robotics (SpringerNature-42732)