Books > Computing & IT > Applications of computing > Databases > Data mining
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Medical Knowledge Extraction from Big Data (Hardcover)
Loot Price: R3,379
Discovery Miles 33 790
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Medical Knowledge Extraction from Big Data (Hardcover)
Expected to ship within 12 - 17 working days
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Data mining refers to the activity of going through big data sets
to look for relevant information. As human health care data are the
most difficult of all data to collect and their primary direction
is the treatment of patients, and secondarily dealing with
research, almost the only vindication for collecting medical data
is to benefit the disease. All data miners should take into account
that Medical Knowledge Extraction is internally connected with the
Evidence-Based Medical approach because it uses data for already
treated or not patients and there are times that opposites to
Guideline Based medical practice. Additonally all researchers
should be aware when are dealing with medical databases they may
face the possibility that their work will never be accepted or even
used from health care professionals if all these obligations will
not be correctly addressed from the early beginning. In the present
book, one can find after the three introductory chapters, a number
of successfully evaluated applications that have been developed
after mining approaches in Big or smaller amount (according to the
application) of medical Data in different fields of every day
clinical practice from teams of experts. The challenging adventure
of Medical Knowledge Extraction can be followed by ambitious
researchers finally resulting in a successful decision support
system, that some times is so novel that it will provide new
directions for basic or clinical research further that the existed.
At least this procedure will save the experience of the best
doctors on duty and will help young residents to be better and
better.
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