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Augmented Intelligence in Healthcare: A Pragmatic and Integrated Analysis - Sushruta Mishra - Bog

Bag om Augmented Intelligence in Healthcare: A Pragmatic and Integrated Analysis

The book discusses how augmented intelligence can increase the efficiency and speed of diagnosis in healthcare organizations. The concept of augmented intelligence can reflect the enhanced capabilities of human decision-making in clinical settings when augmented with computation systems and methods. It includes real-life case studies highlighting impact of augmented intelligence in health care. The book offers a guided tour of computational intelligence algorithms, architecture design, and applications of learning in healthcare challenges. It presents a variety of techniques designed to represent, enhance, and empower multi-disciplinary and multi-institutional machine learning research in healthcare informatics. It also presents specific applications of augmented intelligence in health care, and architectural models and frameworks-based augmented solutions.

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  • Sprog:
  • Engelsk
  • ISBN:
  • 9789811910784
  • Indbinding:
  • Paperback
  • Sideantal:
  • 520
  • Udgivet:
  • 21. april 2023
  • Udgave:
  • 23001
  • Størrelse:
  • 155x28x235 mm.
  • Vægt:
  • 779 g.
  • 2-3 uger.
  • 21. november 2024
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Normalpris

  • BLACK NOVEMBER

Medlemspris

Prøv i 30 dage for 45 kr.
Herefter fra 79 kr./md. Ingen binding.

Beskrivelse af Augmented Intelligence in Healthcare: A Pragmatic and Integrated Analysis

The book discusses how augmented intelligence can increase the efficiency and speed of diagnosis in healthcare organizations. The concept of augmented intelligence can reflect the enhanced capabilities of human decision-making in clinical settings when augmented with computation systems and methods. It includes real-life case studies highlighting impact of augmented intelligence in health care. The book offers a guided tour of computational intelligence algorithms, architecture design, and applications of learning in healthcare challenges. It presents a variety of techniques designed to represent, enhance, and empower multi-disciplinary and multi-institutional machine learning research in healthcare informatics. It also presents specific applications of augmented intelligence in health care, and architectural models and frameworks-based augmented solutions.

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