LEADER 03831nam 22006495 450 001 9910755082503321 005 20231026043248.0 010 $a3-031-41925-1 024 7 $a10.1007/978-3-031-41925-6 035 $a(MiAaPQ)EBC30826768 035 $a(Au-PeEL)EBL30826768 035 $a(DE-He213)978-3-031-41925-6 035 $a(PPN)272916935 035 $a(CKB)28552911000041 035 $a(EXLCZ)9928552911000041 100 $a20231026d2023 u| 0 101 0 $aeng 135 $aurcnu|||||||| 181 $ctxt$2rdacontent 182 $cc$2rdamedia 183 $acr$2rdacarrier 200 10$aArtificial Intelligence-based Healthcare Systems /$fedited by Manju, Sandeep Kumar, Sardar M. N. Islam 205 $a1st ed. 2023. 210 1$aCham :$cSpringer Nature Switzerland :$cImprint: Springer,$d2023. 215 $a1 online resource (208 pages) 225 1 $aThe Springer Series in Applied Machine Learning,$x2520-1301 311 08$aPrint version: Manju Artificial Intelligence-Based Healthcare Systems Cham : Springer International Publishing AG,c2023 9783031419249 327 $aSchedule and Routing In Home Healthcare System Using Clustering Analysis and Multi-Objective Optimization -- Obesity level prediction using Multinomial Logistic Regression -- Importance of Feature Selection methods in Machine Learning-based Obesity Prediction -- A Clinical Decision Support System Using Machine Learning To Forecast The Risk Of Chronic Pulmonary Disease And Anthracosis -- Smart Healthcare: A Breakthrough in the growth of technologies -- A Multidisciplinary Explanation of Healthcare AI Uses, Trends and Possibilities -- Optimum Utilization Of Bed Resources In Hospitals-A Stochastic Approach -- Early-Detection of Diabetic Retinopathy using Deep Learning -- Performance Analysis of Memory-Efficient Vision Transformers in Brain Tumor Segmentation -- Unlocking New Possibilities in Drug Discovery: A GAN-based Approach -- A Systematic Review on ECG and EMG Biomedical Signal using Deep Learning Approaches -- Smart AI bot for healthcare Assistance -- AI-Driven Hospital Readmission Predictor for Diabetic Patients -- Gleason Grading System for Prostate Cancer diagnosis. 330 $aThis book explores new applications in the field of science and technology for healthcare systems. The main focus of this book is to devise smart, efficient and robust solutions for the health care sector to serve the major population of rural areas. Artificial Intelligence-based Healthcare Systems encourages scientists, engineers, and scholars across the multiple disciplines to design smart intelligent innovations on rural healthcare issues and motivate to collaborate multiple ideas to design best solutions. It also helps the readers at various levels of knowledge to further enhance their understanding for new tools and smart solutions. 410 0$aThe Springer Series in Applied Machine Learning,$x2520-1301 606 $aArtificial intelligence 606 $aMachine learning 606 $aInternet of things 606 $aMedical care 606 $aArtificial Intelligence 606 $aMachine Learning 606 $aInternet of Things 606 $aHealth Care 615 0$aArtificial intelligence. 615 0$aMachine learning. 615 0$aInternet of things. 615 0$aMedical care. 615 14$aArtificial Intelligence. 615 24$aMachine Learning. 615 24$aInternet of Things. 615 24$aHealth Care. 676 $a362.1028563 700 $aManju$01435986 701 $aKumar$b Sandeep$0860947 701 $aIslam$b Sardar M. N$0614217 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 906 $aBOOK 912 $a9910755082503321 996 $aArtificial Intelligence-based Healthcare Systems$93594024 997 $aUNINA