LEADER 03929nam 22005415 450 001 9910878050103321 005 20240724125230.0 010 $a9783031648137 024 7 $a10.1007/978-3-031-64813-7 035 $a(CKB)33388293300041 035 $a(MiAaPQ)EBC31553975 035 $a(Au-PeEL)EBL31553975 035 $a(DE-He213)978-3-031-64813-7 035 $a(EXLCZ)9933388293300041 100 $a20240724d2024 u| 0 101 0 $aeng 135 $aur||||||||||| 181 $ctxt$2rdacontent 182 $cc$2rdamedia 183 $acr$2rdacarrier 200 10$aIntelligent Systems Design and Applications $eSmart Healthcare, Volume 1 /$fedited by Ajith Abraham, Anu Bajaj, Thomas Hanne, Patrick Siarry 205 $a1st ed. 2024. 210 1$aCham :$cSpringer Nature Switzerland :$cImprint: Springer,$d2024. 215 $a1 online resource (0 pages) 225 1 $aLecture Notes in Networks and Systems,$x2367-3389 ;$v1046 311 08$a9783031648120 327 $aIdentifying Lung Cancer from CT Scan Images with VGG16 Convolutional Neural Net -- Cause and Effect of Dementia on Women in Technological Environment -- Machine Learning Techniques for Pancreatic Cancer Detection -- Integrating Artificial Intelligence and Data Analytics for Enhanced Healthcare Management Innovations and Challenges -- An Intelligent model for post covid hearing loss -- Generalized Skin Cancer Image Classification Performance using Xception Model -- Analysis of Magnetic Resonance Imaging for Parkinsons Disease -- Study on Health Issue Identification Using Deep Learning and Convolutional Neural Networks -- Early stage Lung Cancer Prediction A machine Learning Approach -- Convolutional Neural Network Based Brain Tumor Segmentation using Detectron -- Deep Learning based Histopathological Analysis for Colon Cancer Diagnosis A Comparative Study of CNN and Transformer Models with Image Preprocessing Techniques -- Detecting Parkinsons Disease at an Early Stage through Machine Learning Analysis of Brain MRI Images -- Early Stage Cervical Cancer Detection via Ensemble Learning and Image Feature Integration -- Comprehensive Comparative Analysis of Breast Cancer Forecasting Using Machine Learning Algorithms and Feature Selection Methods. 330 $aThis book highlights recent research on intelligent systems and nature-inspired computing. It presents 47 selected papers focused on Smart Healthcare from the 23rd International Conference on Intelligent Systems Design and Applications (ISDA 2023), which was held in 5 different cities namely Olten, Switzerland; Porto, Portugal; Kaunas, Lithuania; Greater Noida, India; Kochi, India, and in online mode. The ISDA is a premier conference in the field of artificial intelligence, and the latest installment brought together researchers, engineers, and practitioners whose work involves intelligent systems and their applications in industry. ISDA 2023 had contributions by authors from 64 countries. This book offers a valuable reference guide for all medical doctors, scientists, academicians, researchers, students, and practitioners in the field of artificial intelligence and smart health care. 410 0$aLecture Notes in Networks and Systems,$x2367-3389 ;$v1046 606 $aComputational intelligence 606 $aArtificial intelligence 606 $aComputational Intelligence 606 $aArtificial Intelligence 615 0$aComputational intelligence. 615 0$aArtificial intelligence. 615 14$aComputational Intelligence. 615 24$aArtificial Intelligence. 676 $a006.3 700 $aAbraham$b Ajith$0720591 701 $aBajaj$b Anu$01349138 701 $aHanne$b Thomas$0849759 701 $aSiarry$b Patrick$0860327 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 912 $a9910878050103321 996 $aIntelligent Systems Design and Applications$94189185 997 $aUNINA