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Data-Driven analytics for healthcare : Artificial intelligence and machine learning for medical diagnostics

por Sharma, Meghna; Vashisht, Priyanka; Kumar, Senthil; Singh, Chitra; Amine, Abdelmalek.
Editor: Canadá : CRC Press , 2025Edición: 1 Ed.Descripción: 309 páginas Ilustraciones, diagramas, tablas, gráficas.ISBN: 9781003558743; 9781774917619; 9781774917602.Tema(s): Inteligencia Artificial -- Aplicaciones médicas | Bioinformática | Aprendizaje automático -- Medicina | Big Data -- Medicina | Diagnóstico médico -- Métodos computacionales | Programa de Odontología | Programa de PsicologíaRecursos en línea: Acceso online exclusivo para comunidad Unicoc.
Contenidos:
Chapter 1. Predictive and descriptive analytics in healthcare. -- Chapter 2. Biomimetics and mind-machine interface: the human brain as a quantum computer. -- Chapter 3. The inevitable artificial intelligence revolution in healthcare. -- Chapter 4. Object detection approach for pneumonia detection using x-ray images. -- Chapter 5. Corona tracker: an application for monitoring and tracking the corona disease. -- Chapter 6. Investigation of diagnosing irregularities in endodontic applications using deep learning methods. -- Chapter 7. Teknomo–Fernandez Kernelized discriminant analysis-based connectionist deep multilayer perceptive neural learning for human activity recognition. -- Chapter 8. Transforming healthcare with AI: an adequate method for diabetes prediction using machine learning techniques. -- Chapter 9. A survey on artificial intelligence and machine learning approaches for medical data authentication. -- Chapter 10. Data-Driven analytics for healthcare: artificial intelligence and machine learning for medical diagnostics. -- Chapter 11 M-Blockchain: a futuristic approach for healthcare. -- Chapter 12. Blockchain in healthcare: evolution, applications, and challenges.
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Incluye Índice y referencias bibliográficas

Chapter 1. Predictive and descriptive analytics in healthcare. -- Chapter 2. Biomimetics and mind-machine interface: the human brain as a quantum computer. -- Chapter 3. The inevitable artificial intelligence revolution in healthcare. -- Chapter 4. Object detection approach for pneumonia detection using x-ray images. -- Chapter 5. Corona tracker: an application for monitoring and tracking the corona disease. -- Chapter 6. Investigation of diagnosing irregularities in endodontic applications using deep learning methods. -- Chapter 7. Teknomo–Fernandez Kernelized discriminant analysis-based connectionist deep multilayer perceptive neural learning for human activity recognition. -- Chapter 8. Transforming healthcare with AI: an adequate method for diabetes prediction using machine learning techniques. -- Chapter 9. A survey on artificial intelligence and machine learning approaches for medical data authentication. -- Chapter 10. Data-Driven analytics for healthcare: artificial intelligence and machine learning for medical diagnostics. -- Chapter 11 M-Blockchain: a futuristic approach for healthcare. -- Chapter 12. Blockchain in healthcare: evolution, applications, and challenges.

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