Question

QUESTION 2 The analyzing tool used to identify the three health conditions and factors that determined discharge destination and length of stay for home care patients was A. Pattern identification B. Classification and regression tree C. Problem identification D. Exploration QUESTION 3 The healthcare organization engaged in data mining has violated HIPPA laws when: A. Patient data has not been de-identified B. Patient satisfaction with the organization is reviewed C. Knowledge learned is shared with leadership D. Patient length of stay has been identified QUESTION 4 The neural network technique of data mining models the A. Thoughts B. Instincts C. Brain D. Behavior QUESTION 5 We must not only be able to extract meaningful information and knowledge, but also to knowledge we are generating and what we are learning and the new A. Analyze, synthesize B. Share, disseminate C. Assess, process D. Collect, assess

Answer 1

2.

B. Classification and Regression Trees

CART (Classification and Regression Trees) is a non-parametric approach which has been used in many research domains, including medicine, business, and applied sciences. Past research in healthcare includes the use of CART as a technique to recognize critical situations derived from specific laboratory results, identification of nursing diagnoses or in quality and safety issues of healthcare delivery. CART has also been used (as part of a case-based reasoning approach) to support a safety culture assessment in order to improve patient safety in healthcare organizations' environments.

CART can be used for two main types of classification methods:

1) Prediction (which means the ability to predict any class of previously learnt or unlearnt data)

2) Interpretability (which relates to the level of understanding and insight provided by the model).

3.

C. knowledge learned is shared with leadership.
Unauthorized or inadvertent disclosures of data gained as part of an intimate relationship are breaches of confidentiality. The patient health information details should not be disclosed to third party.

4.

C. Brain

"Neural network" (NN), is a mathematical model or computational model based on biological neural networks, in other words, is an emulation of biological neural system. Neural networks represent a brain metaphor for information processing. These models are biologically inspired rather than an exact replica of how the brain actually functions. Neural networks have been shown to be very promising systems in many forecasting applications and business classification applications due to their ability to “learn” from the data, their nonparametric nature (i.e., no rigid assumptions), and their ability to generalize.
Neural network method is used for classification, clustering, feature mining, prediction and pattern recognition. It imitates the neurons structure of animals, bases on the M-P model and Hebb learning rule, so in essence it is a distributed matrix structure. Through training data mining, the neural network method gradually calculates the weights the neural network connected.

5.

B. Share and disseminate

We learn by continually acquiring, processing, generating, and disseminating knowledge. As we share our knowledge, we also receive feedback, leading us to rethink and reshape our own knowledge base in a continual cycle., core level of knowledge