LEADER 05067nam 22006615 450 001 9911009334903321 005 20250607130244.0 010 $a981-9642-41-8 024 7 $a10.1007/978-981-96-4241-0 035 $a(CKB)39239606200041 035 $a(MiAaPQ)EBC32149439 035 $a(Au-PeEL)EBL32149439 035 $a(DE-He213)978-981-96-4241-0 035 $a(OCoLC)1523928229 035 $a(EXLCZ)9939239606200041 100 $a20250607d2025 u| 0 101 0 $aeng 135 $aur||||||||||| 181 $ctxt$2rdacontent 182 $cc$2rdamedia 183 $acr$2rdacarrier 200 10$aMachine Learning for Disease Detection, Prediction, and Diagnosis $eChallenges and Opportunities /$fedited by Tanupriya Choudhury, Avita Katal 205 $a1st ed. 2025. 210 1$aSingapore :$cSpringer Nature Singapore :$cImprint: Springer,$d2025. 215 $a1 online resource (480 pages) 225 1 $aMedicine Series 311 08$a981-9642-40-X 327 $aChapter 1 Introduction to machine learning and Image Processing for disease detection -- Chapter 2 Comparative Study of Various Deep Learning Methods for Prediction of Disease -- Chapter 3 Introduction to deep learning for disease prediction -- Chapter 4 A survey of image classification techniques for the prediction of diseases -- Chapter 5 Prediction of disease related to heart by using different techniques: A survey -- Chapter 6 Automated Plant Disease Diagnosis with Machine Learning -- Chapter 7 Exploring Disease Prediction Techniques through Data Mining: A Comprehensive Overview -- Chapter 8 Detection of Parkinson?s disease using different machine learning techniques: A comparative analysis -- Chapter 9 Kidney Disease Prediction by Machine Learning Techniques -- Chapter 11 Prediction of Diabetes by using the different machine learning algorithms -- Chapter 12 Investigation of Machine Learning Algorithms in detecting Chronic Kidney Disorder -- Chapter 13 Skin Disease Prediction using machine learning techniques -- Chapter 14 A Comparative Study of Different Machine Learning Techniques for Skin Disease Detection -- Chapter 15 Leveraging MLP-Mixer for Improved Melanoma Diagnosis Using Skin Lesion Images -- Chapter 16 Application of AI to detect Brain Tumors -- Chapter 17 Revolutionizing Brain Tumor Detection: Unleashing the Power of Artificial Intelligence -- Chapter 18 Disease detection and diagnosis using artificial intelligence techniques for sustainable economic growth -- Chapter 19 Developing a COVID-19 Prediction Kit Using Machine Learning -- Chapter 20 Plant Disease Detection: Comprehensive Review of Methods and Techniques. 330 $aThe book ?Machine Learning for Disease Detection, Prediction, and Diagnosis? can be a comprehensive guide to the novel concepts, techniques, and frameworks essential for improving the viability of existing machine-learning practices. It provides an in-depth analysis of how these new technologies are helpful to detect, predict and diagnose diseases more accurately. The book covers various topics such as image classification algorithms, supervised learning methods like support vector machines (SVM), deep neural networks (DNNs), convolutional neural networks (CNNs), etc. unsupervised approaches such as clustering algorithms as well as reinforcement learning strategies. This book is an invaluable resource for anyone interested in machine-learning applications related to disease detection or diagnosis. It explains different concepts and provides practical examples of how they can it implements using real-world data sets from medical imaging datasets or public health records databases, among others. Furthermore, it offers insights into recent advances made by researchers which have enabled automated decision-making systems based on AI models with improved accuracy over traditional methods. This text also discusses ways through which current models could improve further by incorporating domain knowledge during the model training phase, thereby increasing their efficacy even further. 410 0$aMedicine Series 606 $aMedicine, Preventive 606 $aHealth promotion 606 $aDiseases 606 $aDiseases$xAnimal models 606 $aMachine learning 606 $aHealth Promotion and Disease Prevention 606 $aDiseases 606 $aDisease Models 606 $aMachine Learning 615 0$aMedicine, Preventive. 615 0$aHealth promotion. 615 0$aDiseases. 615 0$aDiseases$xAnimal models. 615 0$aMachine learning. 615 14$aHealth Promotion and Disease Prevention. 615 24$aDiseases. 615 24$aDisease Models. 615 24$aMachine Learning. 676 $a610.285631 700 $aChoudhury$b Tanupriya$01423894 701 $aKatal$b Avita$01827832 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 906 $aBOOK 912 $a9911009334903321 996 $aMachine Learning for Disease Detection, Prediction, and Diagnosis$94395972 997 $aUNINA