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- W4362666615 abstract "In the last half century, as a result of breakthroughs in molecular biology, incredible amounts of big data have been produced from a living organism at the genomic, transcriptomic, proteomic and metabolomic levels with the help of high-volume modern technologies. Despite the similar rapid developments in statistical science and information technologies, sufficient progress has not been made in revealing the mechanisms underlying diseases and developing effective treatment systems by analyzing big data with bioinformatic methods. In the near future, it is expected that healthcare services will completely transform into intelligent systems. It is envisaged that this transformation will come into play with a structure consisting of big data, artificial intelligence, integrative multiomics and P-medicine, in which systems biology is at the center. Obtaining this structure, although initially costly, will become more economical over time due to individualized applications. Because it will be possible for people to live healthier, possible risks can be determined in advance, and more effective preventive measures can be taken, and the resulting pathologies can be controlled more economically with treatment systems suitable for the patient’s biological infrastructure. With this study, we aim to draw attention to the possible constructions of the smart health system, which we will talk about more in the coming years, and to open a discussion about the dynamics and needs of the model. We will review the developments in artificial intelligence, which we expect to be one of the basic pillars of this system and which has developed rapidly in recent years, and their adaptations to the smart health system, with the lens of systems biology." @default.
- W4362666615 created "2023-04-07" @default.
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- W4362666615 date "2023-04-06" @default.
- W4362666615 modified "2023-10-14" @default.
- W4362666615 title "Akıllı Sağlık Sistemi Ve Yapay Zekâ" @default.
- W4362666615 doi "https://doi.org/10.53478/tuba.978-625-8352-48-1.ch23" @default.
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