Full Description
Classical computers encode information in binary bits that can either be 0s or 1s. In a quantum computer, the basic unit of memory is a quantum bit or qubit. These qubits play a similar role in terms of storing information, but use physical systems, such as the spin of an electron or the orientation of a photon, to do so. In situations where there are a large number of possible feature combinations, quantum computers can consider them simultaneously, speeding up the data processing time.
In healthcare, where there are often large numbers of possible factors to consider, quantum computers can address them simultaneously, thereby allowing doctors to compare much, much more data, and all permutations of that data, in parallel to discover the best patterns that describe it, and therefore predict the best treatment options.
This edited book explores the field of quantum computing and machine learning for medical data processing, and is a useful resource for computer engineers, researchers, healthcare technologists and scientists specialising in quantum computing, quantum AI, data processing, deep learning, machine learning, smart healthcare, and medical data systems.
Contents
Chapter 1: Blockchain in healthcare: revolutionizing security, transparency, and efficiency
Chapter 2: Harmony in health: machine learning empowered phonocardiogram analysis for early cardiovascular disease detection
Chapter 3: Quantum artificial intelligence for healthcare, supply chain and smart city applications
Chapter 4: Image segmentation algorithms for healthcare applications: enhancing precision in diagnostics and treatment
Chapter 5: Deep learning for medical image processing: a comprehensive exploration of applications and challenges
Chapter 6: Blockchain in healthcare: a comprehensive exploration of security, interoperability, and data integrity
Chapter 7: Big data security and privacy in health care
Chapter 8: Neural rhythms: unveiling pathways to early detection in neurological disorders through wearable EEG analysis
Chapter 9: Quantum computing applications in healthcare: revolutionizing diagnosis, treatment, and data security
Chapter 10: Quantum computing in healthcare: exploring applications for drug discovery and precision medicine
Chapter 11: An intelligent skin cancer disease identification strategy using Style-GAN algorithm
Chapter 12: Importance and need of IoMT and big data to revolutionizing healthcare industry
Chapter 13: Quantum blockchain-oriented data integrity scheme for validating clinical datasets
Chapter 14: Quantifying the performance of quantum machine learning algorithms for heart valve detection using H-Bert classifier
Chapter 15: Quantum-informed AI: precision caloric assessment for optimal health through advanced nutrition analysis in lifestyle management
