國立高雄大學圖資館 |

語系: 繁體中文

說明(常見問題)

圖資館首頁

登入

回首頁

切換: 標籤 | MARC模式 | ISBD

Advanced prognostic predictive model...

Goyal, Lalit Mohan.

Advanced prognostic predictive modelling in healthcare data analytics

紀錄類型:	書目-電子資源 : Monograph/item
正題名/作者:	Advanced prognostic predictive modelling in healthcare data analyticsedited by Sudipta Roy, Lalit Mohan Goyal, Mamta Mittal.
其他作者:	Roy, Sudipta.
出版者:	Singapore :Springer Singapore :2021.
面頁冊數:	xiv, 311 p. :ill. (some col.), digital ;24 cm.
Contained By:	Springer Nature eBook
標題:	Artificial intelligenceMedical applications.
電子資源:	https://doi.org/10.1007/978-981-16-0538-3
ISBN:	9789811605383$q(electronic bk.)

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.2..

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$q(electronic bk.)

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

237917
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 597907
003 DE-He213
005 20210729150440.0
006 m d
007 cr nn 008maaau
008 211019s2021 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 237917
650 0 $a Medical informatics. $3 196487
650 0 $a Information visualization. $3 248886
650 0 $a Data mining. $3 184440
650 1 4 $a Computational Intelligence. $3 338479
650 2 4 $a Artificial Intelligence. $3 212515
650 2 4 $a Statistics, general. $3 275684
650 2 4 $a Health Informatics. $3 274212
650 2 4 $a Simulation and Modeling. $3 273719
700 1 $a Roy, Sudipta. $3 891387
700 1 $a Goyal, Lalit Mohan. $3 891388
700 1 $a Mittal, Mamta. $3 830121
710 2 $a SpringerLink (Online service) $3 273601
773 0 $t Springer Nature eBook
830 0 $a Lecture notes on data engineering and communications technologies ; $v v.2. $3 770548
856 4 0 $u https://doi.org/10.1007/978-981-16-0538-3
950 $a Intelligent Technologies and Robotics (SpringerNature-42732)