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Health Informatics
Health Informatics
Knygos.lt klubas Knygos.lt nariams
176,60 €
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Įprastai
252,29 €
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This edited book covers technological advances in healthcare that contribute to precision medicine and early detection of diseases. The editors explore the evolution of medical devices with attention to data management, patient safety and cost effectiveness. Discussing health data and big data analytics for healthcare information, the editors also look at the application of AI in the healthcare arena, examining the concepts of machine learning for image sensing and the importance of feature sel…

Health Informatics (el. knyga) (skaityta knyga) | knygos.lt

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This edited book covers technological advances in healthcare that contribute to precision medicine and early detection of diseases. The editors explore the evolution of medical devices with attention to data management, patient safety and cost effectiveness.

Discussing health data and big data analytics for healthcare information, the editors also look at the application of AI in the healthcare arena, examining the concepts of machine learning for image sensing and the importance of feature selection, class imbalance, model robustness, and scalability.

With the advancement of telemedicine, the book will also examine cloud computing systems and the IoMT, with particular reference to cybersecurity concerns and the reliable management of electronic medical records.

The editors look at deploying these technologies for improved detection and therapeutic considerations for neurological and physiological conditions.

The book will be suitable for an audience of computer scientists and engineers particularly researchers working in healthcare technologies, AI/ML, computer science, data analysis or IoMT.

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This edited book covers technological advances in healthcare that contribute to precision medicine and early detection of diseases. The editors explore the evolution of medical devices with attention to data management, patient safety and cost effectiveness.

Discussing health data and big data analytics for healthcare information, the editors also look at the application of AI in the healthcare arena, examining the concepts of machine learning for image sensing and the importance of feature selection, class imbalance, model robustness, and scalability.

With the advancement of telemedicine, the book will also examine cloud computing systems and the IoMT, with particular reference to cybersecurity concerns and the reliable management of electronic medical records.

The editors look at deploying these technologies for improved detection and therapeutic considerations for neurological and physiological conditions.

The book will be suitable for an audience of computer scientists and engineers particularly researchers working in healthcare technologies, AI/ML, computer science, data analysis or IoMT.

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