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Machine Learning in Healthcare - Fundamentals and Recent Applications (Hardcover)
Loot Price: R2,641
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Machine Learning in Healthcare - Fundamentals and Recent Applications (Hardcover)
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Artificial intelligence (AI) and machine learning (ML) techniques
play an important role in our daily lives by enhancing predictions
and decision-making for the public in several fields such as
financial services, real estate business, consumer goods, social
media, etc. Despite several studies that have proved the efficacy
of AI/ML tools in providing improved healthcare solutions, it has
not gained the trust of health-care practitioners and medical
scientists. This is due to poor reporting of the technology,
variability in medical data, small datasets, and lack of standard
guidelines for application of AI. Therefore, the development of new
AI/ML tools for various domains of medicine is an ongoing field of
research. Machine Learning in Healthcare: Fundamentals and Recent
Applications discusses how to build various ML algorithms and how
they can be applied to improve healthcare systems. Healthcare
applications of AI are innumerable: medical data analysis, early
detection and diagnosis of disease, providing objective-based
evidence to reduce human errors, curtailing inter- and
intra-observer errors, risk identification and interventions for
healthcare management, real-time health monitoring, assisting
clinicians and patients for selecting appropriate medications, and
evaluating drug responses. Extensive demonstrations and discussion
on the various principles of machine learning and its application
in healthcare is provided, along with solved examples and
exercises. This text is ideal for readers interested in machine
learning without any background knowledge and looking to implement
machine-learning models for healthcare systems.
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