Handbook of Research on Mathematical Modeling for Smart Healthcare Systems

Λεπτομέρειες βιβλιογραφικής εγγραφής
Τίτλος: Handbook of Research on Mathematical Modeling for Smart Healthcare Systems
Συγγραφείς: Debabrata Samanta, Debabrata Singh
Στοιχεία εκδότη: Packt Publishing, 2022.
Έτος έκδοσης: 2022
Θεματικοί όροι: COMPUTERS / Mathematical & Statistical Software, MEDICAL / Allied Health Services / Medical Technology, MEDICAL / Informatics, Medical technology--Mathematical models, Medical innovations--Mathematical models, Кафедра Математическое и компьютерное моделирование, EBSCO eBooks, Electronic books, Институт естественных и точных наук
Περιγραφή: Advances in healthcare technologies have offered real-time guidance and technical assistance for diagnosis, monitoring, operation, and interventions. The development of artificial intelligence, machine learning, internet of things technology, and smart computing techniques are crucial in today's healthcare environment as they provide frictionless and transparent financial transactions and improve the overall healthcare experience. This, in turn, has far-reaching effects on economic, psychological, educational, and organizational improvements in the way we work, teach, learn, and provide care. These advances must be studied further in order to ensure they are adapted and utilized appropriately. The Handbook of Research on Mathematical Modeling for Smart Healthcare Systems presents the latest research findings, ideas, innovations, developments, and applications in the field of modeling for healthcare systems. Furthermore, it presents the application of innovative techniques to complex problems in the case of healthcare. Covering a range of topics such as artificial intelligence, deep learning, and personalized healthcare services, this reference work is crucial for engineers, healthcare professionals, researchers, academicians, scholars, practitioners, instructors, and students.
Τύπος εγγράφου: Book
Περιγραφή αρχείου: application/pdf
Γλώσσα: English
Σύνδεσμος πρόσβασης: http://dspace.susu.ru/xmlui/handle/00001.74/51571
Αριθμός Καταχώρησης: edsair.dedup.wf.002..05c8b04ed92fa36a322442c2cf9fcdde
Βάση Δεδομένων: OpenAIRE
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