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Health surveillance and intelligence play an important role in
modern health systems as more data must be collected and analyzed.
It is crucial that this data is interpreted and analyzed
effectively and efficiently in order to assist with diagnoses and
predictions. Diagnostic Applications of Health Intelligence and
Surveillance Systems is an essential reference book that examines
recent studies that are driving artificial intelligence in the
health sector and helping practitioners to predict and diagnose
diseases. Chapters within the book focus on health intelligence and
how health surveillance data can be made useful and meaningful.
Covering topics that include computational intelligence, data
analytics, mobile health, and neural networks, this book is crucial
for healthcare practitioners, IT specialists, academicians,
researchers, and students.
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Loot
Nadine Gordimer
Paperback
(2)
R398
R330
Discovery Miles 3 300
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