Titlebook: Deep Learning for Medical Decision Support Systems; Utku Kose,Omer Deperlioglu,Bogdan Patrut Book 2021 The Editor(s) (if applicable) and T

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Towards Distributed Cognitive Expert Systemsiseases and to reduce deaths. These studies are mostly aimed at developing computer-aided diagnostic systems using the developing technology. Some computer-aided systems are clinical decision support systems that are developed to more easily detect heart disease than heart sounds or related data

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Seppo Honkapohja,Frank Westermanndical problem examined recently. Here, especially retinal pathologies can be the biggest problem for millions of blindness cases seen world-wide [.]. When all the cases of blindness are examined in detail, it was reported that there are around 2 million diabetic retinopathy cases causing the blindne

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Entropy Source Validation Certification,t diseases, as they are base for the medical decision support systems. There are of course many more research aspects to be discussed but if is also a good approach to focus on some insights regarding future of medical decision support systems.

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A Practical Method for Early Diagnosis of Heart Diseases via Deep Neural Network,iseases and to reduce deaths. These studies are mostly aimed at developing computer-aided diagnostic systems using the developing technology. Some computer-aided systems are clinical decision support systems that are developed to more easily detect heart disease than heart sounds or related data

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Alexander Maedche,Jan vom Brocke,Alan HevnerFollowing an introduction to the artificial intelligence and decision support systems in the Chap. ., it is possible to focus on deep learning and exact architectures of deep learning used for medical diagnosis.

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Seppo Honkapohja,Frank WestermannSince its first appearance in both academic and scientific world, Artificial Intelligence has taken many steps, which caused to build up different sub-fields focused on different algorithmic solution approaches.

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Seppo Honkapohja,Frank WestermannAdvanced technologies for processing data gathered from the real world are widely used for improving tasks in different fields of the life. After especially rise of computer and communication technologies, it has been important to process the data rapidly and reach to automated decisions for making some tasks more practical in the digital world.