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HCAD 750 MODULE 5 EXAM GUIDE WITH GUARANTEED ACCURATE ANSWERS |VERIFIED $11.49   Add to cart

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HCAD 750 MODULE 5 EXAM GUIDE WITH GUARANTEED ACCURATE ANSWERS |VERIFIED

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  • HCAD 750 Module 5
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  • HCAD 750 Module 5

The process of finding correlations or patterns among the data - facilitates data exploration - extract useful knowledge hidden in data - accurate answersdata mining Using patient data for any purpose beyond providing care for the individual patient brings with it some tricky issues regarding ...

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  • August 23, 2024
  • 8
  • 2024/2025
  • Exam (elaborations)
  • Questions & answers
  • HCAD 750 Module 5
  • HCAD 750 Module 5
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EXAMLINKS
HCAD 750 MODULE 5 EXAM GUIDE
WITH GUARANTEED ACCURATE
ANSWERS |VERIFIED

The process of finding correlations or patterns among the data
- facilitates data exploration
- extract useful knowledge hidden in data - accurate answers✔✔data
mining


Using patient data for any purpose beyond providing care for the
individual patient brings with it some tricky issues regarding privacy,
and keeping the information from falling into the wrong hands. There
are significant legal issues related to the use of patient data in data
mining efforts, specifically related to the de-identification, aggregation,
and storage of the data. Failing to take the appropriate steps when using
personal health data as a tool for population health could lead to serious
consequences - accurate answers✔✔hippa in relation to data mining


-perform induction on the current data in order to make predictions. -
accurate answers✔✔predictive data mining


-ability for a device, machine, etc. To be able to take in numerous types
of data and learn from the data in order to produce knowledge. - accurate
answers✔✔meta-learning


- investigates how computers can learn based on data

, - automatically learn to recognize complex patterns and make intelligent
decisions on their own based on the data - accurate answers✔✔machine
learning


Refers to the process of reducing the inputs for processing and analysis,
or finding the most meaningful inputs. - accurate answers✔✔feature
selection


- be applied to obtain a compressed representation of the data set that is
much smaller in volume, yet maintains the integrity of the original data.
- used when the data selected is too complex or huge - accurate
answers✔✔data reduction


To request or seek out additional information on a specific subject.
Makes the data more detailed. - accurate answers✔✔drill down


- is an ensemble of models combined sequentially.
- can be used to classify data
- get a meta-learning device, stack the data in the device, the base learner
is combined and produces the data information needed. - accurate
answers✔✔stacking


- each of the data classifications are weighted.
- once the system learns, it is able to continuously update and learn
which ones are incorrect, and the weight shifts to reflect the accuracy -
accurate answers✔✔boosting

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