LEADER 04860nam 22007215 450 001 9910583504803321 005 20251113200035.0 010 $a981-19-2057-5 024 7 $a10.1007/978-981-19-2057-8 035 $a(MiAaPQ)EBC7041893 035 $a(Au-PeEL)EBL7041893 035 $a(CKB)24238226900041 035 $a(PPN)263899322 035 $a(OCoLC)1336401928 035 $a(DE-He213)978-981-19-2057-8 035 $a(EXLCZ)9924238226900041 100 $a20220706d2022 u| 0 101 0 $aeng 135 $aurcnu|||||||| 181 $ctxt$2rdacontent 182 $cc$2rdamedia 183 $acr$2rdacarrier 200 10$aPrognostic Models in Healthcare: AI and Statistical Approaches /$fedited by Tanzila Saba, Amjad Rehman, Sudipta Roy 205 $a1st ed. 2022. 210 1$aSingapore :$cSpringer Nature Singapore :$cImprint: Springer,$d2022. 215 $a1 online resource (515 pages) 225 1 $aStudies in Big Data,$x2197-6511 ;$v109 311 08$aPrint version: Saba, Tanzila Prognostic Models in Healthcare: AI and Statistical Approaches Singapore : Springer,c2022 9789811920561 320 $aIncludes bibliographical references. 327 $aSegmentation of White Blood Cells in Acute Myeloid Leukaemia Microscopic Images: The Current Challenges and Future Solutions -- Computer Vision Based Prognostic Modeling of COVID-19 from Medical Imaging -- Skin Lesion Classification From Dermoscopic Images with Deep Residual Network based Fused Pigmented Deep Feature Extraction and Entropy Based Best Features Selection Approach -- Computer Vision Technologies for COVID-19 Prediction, Diagnosis and Prevention -- Health monitoring methods in heart diseases based on data mining approach, a directional survey -- Machine learning based brain diseases diagnosing in electroencephalogram signals, Alzheimer and Parkinson's -- Skin Lesion Detection Using Recent Machine Learning Approaches -- Improving monitoring and controling parameters for Alzheimer's patients based on IoT -- A Novel Method for Lung Segmentation of Chest with Convolutional Neural Network -- Leukemia Detection Using Machine and Deep Learning Through Microscopic Images-A Review. 330 $aThis book focuses on contemporary technologies and research in computational intelligence that has reached the practical level and is now accessible in preclinical and clinical settings. This book's principal objective is to thoroughly understand significant technological breakthroughs and research results in predictive modeling in healthcare imaging and data analysis. Machine learning and deep learning could be used to fully automate the diagnosis and prognosis of patients in medical fields. The healthcare industry's emphasis has evolved from a clinical-centric to a patient-centric model. However, it is still facing several technical, computational, and ethical challenges. Big data analytics in health care is becoming a revolution in technical as well as societal well-being viewpoints. Moreover, in this age of big data, there is increased access to massive amounts of regularly gathered data from the healthcare industry that has necessitated the development of predictive models and automated solutions for the early identification of critical and chronic illnesses. The book contains high-quality, original work that will assist readers in realizing novel applications and contexts for deep learning architectures and algorithms, making it an indispensable reference guide for academic researchers, professionals, industrial software engineers, and innovative model developers in healthcare industry. 410 0$aStudies in Big Data,$x2197-6511 ;$v109 606 $aComputational intelligence 606 $aMedical informatics 606 $aComputer simulation 606 $aQuantitative research 606 $aNeural networks (Computer science) 606 $aComputational Intelligence 606 $aHealth Informatics 606 $aComputer Modelling 606 $aData Analysis and Big Data 606 $aMathematical Models of Cognitive Processes and Neural Networks 615 0$aComputational intelligence. 615 0$aMedical informatics. 615 0$aComputer simulation. 615 0$aQuantitative research. 615 0$aNeural networks (Computer science) 615 14$aComputational Intelligence. 615 24$aHealth Informatics. 615 24$aComputer Modelling. 615 24$aData Analysis and Big Data. 615 24$aMathematical Models of Cognitive Processes and Neural Networks. 676 $a610.285 702 $aSaba$b Tanzila 702 $aRehman$b Amjad 702 $aRoy$b Sudipta 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 906 $aBOOK 912 $a9910583504803321 996 $aPrognostic models in healthcare$92997971 997 $aUNINA