Augmented Intelligence in Healthcare: A Pragmatic and Integrated Analysis
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Beschreibung
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.
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.
Provides a unique compendium of current and emerging augmented intelligence paradigms for healthcare informatics Appeals to a broader section of audience outreach—medical staffs, researchers, academicians, and common public Reflects the diversity, complexity, and the depth and breadth of this critical domain
Autor*in
Sushruta Mishra
Themen in »Augmented Intelligence in Healthcare: A Pragmatic and Integrated Analysis«
Artificial Intelligence Augmented Intelligence Healthcare Informatics Machine Learning Disease Diagnosis Accuracy Rate Pattern Recognition Ambient Intelligence Drug Prediction Biomedical Big Data