LEADER 03586nam 22007095 450 001 9910483684603321 005 20251113194956.0 010 $a981-16-0538-6 024 7 $a10.1007/978-981-16-0538-3 035 $a(CKB)4100000011902461 035 $a(MiAaPQ)EBC6566952 035 $a(Au-PeEL)EBL6566952 035 $a(OCoLC)1248927089 035 $a(PPN)255293178 035 $a(DE-He213)978-981-16-0538-3 035 $a(EXLCZ)994100000011902461 100 $a20210422d2021 u| 0 101 0 $aeng 135 $aurcnu|||||||| 181 $ctxt$2rdacontent 182 $cc$2rdamedia 183 $acr$2rdacarrier 200 10$aAdvanced Prognostic Predictive Modelling in Healthcare Data Analytics /$fedited by Sudipta Roy, Lalit Mohan Goyal, Mamta Mittal 205 $a1st ed. 2021. 210 1$aSingapore :$cSpringer Nature Singapore :$cImprint: Springer,$d2021. 215 $a1 online resource (317 pages) 225 1 $aLecture Notes on Data Engineering and Communications Technologies,$x2367-4520 ;$v64 311 08$a981-16-0537-8 327 $aData 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. 330 $aThis book discusses major technical advancements and research findings in the field of prognostic modelling in healthcare image and data analysis. The use of prognostic modelling as predictive models to solve complex problems of data mining and analysis in health care is the feature of this book. The book examines the recent technologies and studies that reached the practical level and becoming available in preclinical and clinical practices in computational intelligence. The main areas of interest covered in this book are highest quality, original work that contributes to the basic science of processing, analysing and utilizing all aspects of advanced computational prognostic modelling in healthcare image and data analysis. 410 0$aLecture Notes on Data Engineering and Communications Technologies,$x2367-4520 ;$v64 606 $aComputational intelligence 606 $aArtificial intelligence 606 $aQuantitative research 606 $aMedical informatics 606 $aComputer simulation 606 $aComputational Intelligence 606 $aArtificial Intelligence 606 $aData Analysis and Big Data 606 $aHealth Informatics 606 $aComputer Modelling 615 0$aComputational intelligence. 615 0$aArtificial intelligence. 615 0$aQuantitative research. 615 0$aMedical informatics. 615 0$aComputer simulation. 615 14$aComputational Intelligence. 615 24$aArtificial Intelligence. 615 24$aData Analysis and Big Data. 615 24$aHealth Informatics. 615 24$aComputer Modelling. 676 $a610.28563 702 $aRoy$b Sudipta 702 $aGoyal$b Lalit Mohan 702 $aMittal$b Mamta 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 906 $aBOOK 912 $a9910483684603321 996 $aAdvanced Prognostic Predictive Modelling in Healthcare Data Analytics$91906538 997 $aUNINA