Machine Learning for Disease Detection, Prediction, and Diagnosis: Challenges and Opportunities
Machine Learning for Disease Detection, Prediction, and Diagnosis: Challenges and Opportunities
English | 2025 | ISBN: 9789819642410 | 389 pages | True PDF,EPUB | 16 MB
The 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.