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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.
This book comprises select peer-reviewed papers presented at the
International Conference on Biomedical Engineering Science and
Technology: Roadway from Laboratory to Market (ICBEST 2018)
organized by Department of Biomedical Engineering, National
Institute of Technology Raipur, Chhattisgarh, India. The book
covers latest research in a wide range of biomedical technologies
ranging from biomechanics, biomaterials, biomedical instrumentation
to tele-medicine, internet of things, bioinformatics, medical
signal and image processing. The contents aim to bridge the gap
between laboratory research and feasible market products by
identifying potential technologies to enhance functionalities of
diagnostic and therapeutic devices. The book will be of use to
researchers, biomedical engineers, as well as medical
practitioners.
This book comprises select peer-reviewed papers presented at the
International Conference on Biomedical Engineering Science and
Technology: Roadway from Laboratory to Market (ICBEST 2018)
organized by Department of Biomedical Engineering, National
Institute of Technology Raipur, Chhattisgarh, India. The book
covers latest research in a wide range of biomedical technologies
ranging from biomechanics, biomaterials, biomedical instrumentation
to tele-medicine, internet of things, bioinformatics, medical
signal and image processing. The contents aim to bridge the gap
between laboratory research and feasible market products by
identifying potential technologies to enhance functionalities of
diagnostic and therapeutic devices. The book will be of use to
researchers, biomedical engineers, as well as medical
practitioners.
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