Machine Learning for Critical Internet of Medical Things
- Indbinding:
- Paperback
- Sideantal:
- 272
- Udgivet:
- 4. februar 2023
- Udgave:
- 23001
- Størrelse:
- 155x15x235 mm.
- Vægt:
- 417 g.
- 8-11 hverdage.
- 10. december 2024
På lager
Forlænget returret til d. 31. januar 2025
Normalpris
Abonnementspris
- Rabat på køb af fysiske bøger
- 1 valgfrit digitalt ugeblad
- 20 timers lytning og læsning
- Adgang til 70.000+ titler
- Ingen binding
Abonnementet koster 75 kr./md.
Ingen binding og kan opsiges når som helst.
- 1 valgfrit digitalt ugeblad
- 20 timers lytning og læsning
- Adgang til 70.000+ titler
- Ingen binding
Abonnementet koster 75 kr./md.
Ingen binding og kan opsiges når som helst.
Beskrivelse af Machine Learning for Critical Internet of Medical Things
This book discusses the applications, challenges, and future trends of machine learning in medical domain, including both basic and advanced topics. The book presents how machine learning is helpful in smooth conduction of administrative processes in hospitals, in treating infectious diseases, and in personalized medical treatments. The authors show how machine learning can also help make fast and more accurate disease diagnoses, easily identify patients, help in new types of therapies or treatments, model small-molecule drugs in pharmaceutical sector, and help with innovations via integrated technologies such as artificial intelligence as well as deep learning. The authors show how machine learning also improves the physician¿s and doctor¿s medical capabilities to better diagnosis their patients. This book illustrates advanced, innovative techniques, frameworks, concepts, and methodologies of machine learning that will enhance the efficiency and effectiveness of the healthcare system.Provides researchers in machine and deep learning with a conceptual understanding of various methodologies of implementing the technologies in medical areas;
Discusses the role machine learning and IoT play into locating different virus and diseases across the globe, such as COVID-19, Ebola, and cervical cancer;
Includes fundamentals and advances in machine learning in the medical field, supported by significant case studies and practical applications.
Discusses the role machine learning and IoT play into locating different virus and diseases across the globe, such as COVID-19, Ebola, and cervical cancer;
Includes fundamentals and advances in machine learning in the medical field, supported by significant case studies and practical applications.
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Bogen Machine Learning for Critical Internet of Medical Things findes i følgende kategorier:
- Business og læring > Computer og IT
- Business og læring > Videnskab
- Reference, information og tværfaglige emner > Forskning og information: generelt > Informationsteori > Kybernetik og systemteori
- Lægevidenskab og sygepleje > Sygepleje og paramedicinske fag > Biomedicinsk teknik
- Teknologi, ingeniørvidenskab og landbrug > Elektronik og kommunikationsteknik > Elektronik teknik
- Teknologi, ingeniørvidenskab og landbrug > Elektronik og kommunikationsteknik > Kommunikationsteknik / telekommunikation
- Databehandling og informationsteknologi > Anvendt databehandling > Software til industrien og teknologi
- Databehandling og informationsteknologi > Informatik > Kunstig intelligens
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